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1. SIMULATION OF CASSAVA YIELD UNDER DIFFERENT CLIMATIC SCENARIOS IN KILEMBWE, SOUTH-KIVU PROVINCE EASTERN DR CONGOClimate variability and change are projected to significantly impact agricultural production across Africa. This study assessed the effects of climate variability and change on cassava yield in Kilembwe, South-Kivu province Eastern DR Congo. The assessment relies on the DSSAT crop model simulation of cassava under current and future climate. The period 1980–2010 was used to represent the baseline, while future projection covers three periods including the near future (2010–2039), ... A.B. Yamungu, A. Egeru, M.J. Majaliwa, B.M. Dossa |
2. The roles of key public services on the adoption of climate-smart agricultural technologies in coffee-based farming system of EthiopiaMany studies focused on the adoption studies of relatively expensive technologies such as improved varieties, inorganic fertilizers, and agricultural machines. However, limited empirical studies have been conducted on the adoption of improved agricultural practices such as intercropping, manure application, crop rotation with leguminous crops and forages, conservation tillage, and soil and water management practices which are tremendously important for climate change adaptation and mitigation... S. Diro |
3. Changes in climatic factors lead to the change in cultural wedging of rice in the Ivorian pre-forest zoneClimate change in the pre-forest zone of Cote d'Ivoire has led to a mismatch between cropping periods and new seasons, challenging the sowing periods usually recommended for rainfed rice cultivation in this area. Our study aims to determine the optimal sowing period for two rainfed rice varieties cultivated in this pre-forest zone of the country. The agroclimatic analysis carried out over the period 1980-2017 allowed to determine the optimal dates for sowing ri... C. Brou |
4. The Vision of Future Earth Observation for AgricultureThe main objective of EO4AGRI is to catalyze the evolution of the European capacity for improving operational agriculture monitoring from local to global levels based on information derived from Copernicus satellite observation data and through exploitation of associated geospatial and socio-economic information services. EO4AGRI assists the implementation of the EU Common Agricultural Policy (CAP) with special attention to the CAP2020 reform, to requirements of Paying Agencies, and... K. Charvat, V. Safar, H. Kubickova |
5. Orchard Yield Assessment in North-East of Morocco using Satellite ImageryAgricultural sector represents one of the pillars of the Moroccan economy. The Green Morocco Plan (GMP) established in 2008 present the main engine of development of this sector and for local economy. One of the objectives of Pillar I and Pillar II of GMP was to maximize production with less use of water resources. As an effect of climate change, Morocco is experiencing a strong variability in spatial and temporal variability of precipitation with a detrimental effect on yield and quality of ... K. Aberkani, A. Matese, S. Samri, M. Said, S. Di gennaro, P. Toscano |
6. Monitoring Corn (Zea mays) Yield using Sentinel-2 and Machine Learning for Precision Agriculture ApplicationsCurrently, there is a growing demand to apply precision agriculture (PA) management practices at agricultural fields expecting more efficient and more profitable management. One of PA principal components for site-specific management is crop yield monitoring which varies temporally between seasons and spatially within-field. In this study, we investigated the possibility of monitoring within-field variability of corn grain yield in a 22ha field located in Ferarra, North Italy. Archived yield ... A. Kayad, M. Sozzi, F. Pirotti, F. Marinello, L. Sartori, S. Gatto |
7. Predicting in-Season Sorghum yield potential using Remote Sensing Approach: a case study of Kano in Sudan Savannah agro- ecological zone, NigeriaThe preliminary estimation of expected yields and the accuracy of this evaluation provide information for decision-making related to the harvest. Estimating crop yield using remote sensing techniques has proven to be successful, having the ability to provide yield estimates prior to harvest. This study was conducted to examine the applicability of Sentinel-2B for estimating sorghum yield during the 2018 rainy season in Bebeji, Dawakin-Kudu and Rano Local Government Areas Kano State, in the Su... A. Tukur, H.A. Ajeigbe, F.M. Akinseye, I.B. Mohammed, M.M. Badamasi |
8. Digital platforms for boosting farmer knowledge: Two case studies in Kenya and UgandaApproximately 80% of all farms in Africa, or 33 million farms, are two hectares or less in size. Many of these smallholder farmers do not have access to resources, including extension services, to improve their farms. Lack of knowledge of Good Agronomic Practices (GAPs) causes farmers to fail to reach their full yield potential. Extension workers responsible to provide these GAPs to farmers are spread thin. For example, as of March of 2019, there was one extension worker for every 1,800 coffe... E. Bakirdjian, T. Harigaya, M. Osia, J. Zhu, J. Abuli |
9. Mapping African soils at 30m resolution - iSDAsoil: leveraging spatial agronomy in farm-level advisory for smallholdersField level soil data has been the foundation of agronomic advisory, but traditional methods involving on-farm sampling are too expensive for a large proportion of African smallholders. Building on the work of the African Soil Information Service (AfSIS), Innovative Solutions for Decision Agriculture (iSDA) and partners have created an agronomic soil database which covers the entire African continent at a spatial resolution of 30 m. “iSDAsoil” combines remote sensing data and othe... J. Crouch |
10. Mechanisation of smallholders in Zambia by agrodealer developmentThe main challenges hampering agricultural mechanization in sub-Saharan Africa (SSA) are affordability, availability, lack of farmer skills and constraints within the private sector. Smallholders are trapped in a vicious circle of low income, low demand, high cost, and lack of financing. Low capacity and lack of support for mechanisation contractors (agrodealers) to succeed is holding back the development. The objectives of this work were (i) to assess the affordability of mechanisation syste... S. Peets, S. Woods |
11. Spatial variability and mapping of selected soil quality indicators for precision farming at a smallholding level in Minna, NigeriaSmallholding farmers in Nigeria still practice blanket application of fertilizers, without giving consideration to spatial variations in soil properties across their fields. Understanding of spatial variability in soil properties is essential for precision farming, especially in this era of resource scarcity and high cost of fertilizers. This study was carried out to assess and map the spatial variability in selected soil quality indicators in a smallholder farm in Minna, North-central Nigeri... B. Lawal, M.K. Adeboye, P.A. Tsado |
12. FARMER CHARLIE: PRECISION AGRICULTURE AT SMALLHOLDER FARMERS’ SERVICEPreliminary research and an ongoing project in Nigeria showed that agriculture is a crucial activity in the country. It is mainly carried out in small, family-owned farms: in fact, 88% of Nigeria farmers work on less than 0.5 ha. Lack of resources, of readily available information and the impact of climate on agricultural activities lead to low yields and high-cost farm inputs (FAO, 2020). The availability of agricultural data and weather forecast information could play an essential role in i... B. Bonnardel, G. Cursoli |
13. Using Site-Specific Management Zones for Potato Crop Management, East Nile Delta, EgyptThe field management zones (MZ) delineated using soil electrical conductivity (EC) and topographic parameters are the basis for site-specific crop management (SSCM). The objective of this paper was to delineation site-specific management zones of 155 feddans (67.2 ha) of a potato pivot field at East of Nile Delta, Egypt for use in smart farming based on spatial variability of soil and plant properties, yield and topographic attributes. The salinity measurement in the f... A.B. Belal, E.S. Mohamed, M.E. Jalhoum, M. zahran, M.A. Abdellatif, M.S. Emam, E.A. Hendway |
14. Scaling Precision Agriculture in West Africa Smallholder Irrigation and Water Management SystemsThe advent of precision agriculture (PA) is changing global agricultural productivity; through the underlining principles that ensure inputs required for the management of soil, water and crop agronomy are supplied precisely across the field landscape resulting in optimum yield. The benefits of PA include improved food security through increases in water and nutrient use efficiency, and timely management of good agricultural practices. The practice of PA could be beneficial across commercial ... A.O. Oke, V. Aduramigba-modupe |
15. Potential precision agriculture practices for higher fruit and vegetable production in West Africa: A ReviewDuring the last decades, efforts have been made to increase the yield and the quality of major fruits and vegetables but still, farmers mainly those in West African countries are struggling to close the yield gap. Precision agriculture has been reported in most developed countries as a set of tools integrating information and technologies for efficient crop production. Over the decades, scholars have been skeptical about the development and implementation of precision agriculture in West Afri... V. Fassinou hotegni, L.W. Azonhoumon, E.G. Achigan-dako |
16. Deep Learning is bringing pan-African small holder advisory services based on mid-infrared spectroscopic soil analysis to the next levelThe majority of African smallholder farmers do not have access to soil analytical services. The main reasons are relatively high costs of wet chemical services and difficult logistics. As a result they have to rely on blanket fertilizer recommendations. This often causes poor soil management due to very heterogeneous soil conditions. As a result, the return on investment from blanket fertilizer recommendations is low and fertilizer acceptance is not growing among smallholder farmers. Soil spe... T. Terhoeven-urselmans, D. Fletcher, M.M. Karanja, J.W. Kamau |
17. Scale Independent Precision AgricultureThe advent of precision agriculture that occurred in the USA about three decades ago involved application of advanced and innovative technologies. Precision agriculture in the US and other advanced countries continued in that direction and today it is more sophisticated and complex than before. Interestingly, the concept of Precision Agriculture is relatively simple and does not mandate utilization of advanced technologies to practice precision agriculture. For example, it may take a su... R. Khosla |
18. The AgroCard-Côte d’Ivoire projectLe secteur agricole fait désormais partie des secteurs d’activités de précision. Face à l’amenuisement des ressources et les besoins sans cesses croissants en produits agricoles, l’agriculture de précision qui était jusque-là réservée aux grandes firmes agro-industrielles, s’impose aujourd’hui aux plus petits producteurs. Cependant, les matériels restent, pour la plupart, conçus pour la ... N. aphing |
19. Tomato yield and economic performance under organic and mineral fertilizer applications in coastal TogoResearch efforts towards enhancing vegetables production are still needed in Togo. We assessed tomato (Solanum lycopersicum) yield and associated economic returns under three soil fertility management strategies in a 3-yr period study. Three tomato varieties were used including: MONGAL-F1 (V1), SUMO-F1 (V2) and COBRA 26-F1 (V3). The fertilization regimes were: no fertilizer application as the control (F1), application of 200 kg of N15P15K15 + 10... J.M. Sogbedji, M. Lare |
20. Geo-statistical Prediction of Spatial Distribution of Salt-affected Soils of Meki-Zeway agricultural areas: Actionable baseline information for practical implementation of precision agriculture in similar salinity/sodicity prone areas in EthiopiaSalinity and sodicity-induced soil degradation are major soil property related environmental constraint with severe negative impacts on productivity and sustainability of both rainfed and irrigated agriculture in arid and semi-arid lowlands of Ethiopia. The spatial prediction, data bases creation and preparation of actionable digital soil salinization/sodiciation pattern maps has a special importance to enable site-specific management system leading to the establishment and execution of Digit... M. Minaleshoa |
21. Keynote 1 - Precision Agriculture for Smallholders : Imperatives for Africa’s AgricultureThe African continent is at the dawn of the Fourth Industrial Revolution (4IR) with significant challenges around inclusivity. The concept of the 4-IR will imply the deployment of technologies at unprecedented scale at a time when sustainable production underscores the need to produce twice as much with half the resources. For Africa, Precision Agriculture (PA) as a modern technology, represents a sustainable approach that will help farmers to manage their resources and increase product... Y. Akinbamijo |
22. Keynote 2 - Satellite Earth Observations and Machine Learning for Agricultural Monitoring in Sub-Saharan AfricaFood security is one of the most pressing issues faced by many African countries today. 2019 brought further shocks and setbacks to crop production across Africa. Farmers in East Africa, for example, faced more devastating floods, the most severe (and still ongoing) desert locust infestation in 70 years, and of course the COVID-19 pandemic, which has affected every sector and every food sys... C. Nakalembe |
23. Keynote 3 - Setting the Record Straight on Precision Agriculture AdoptionAdoption of precision agriculture (PA) around the world has been uneven. Some PA technologies have been the most rapidly adopted agricultural technologies in history and others have lagged. Among the disappointments is variable rate fertilizer, which was among the first PA technologies, but has become standard practice only for some farming niches. PA is a tool box – Farmers take the tools that they need and leave the rest. For example, in countries with mechaniz... J. Lowenberg-deboer |
24. Precision fertilizer management for soil fertility improvement in Sub-Sahara AfricaAttainment of food security remains one of the biggest challenges facing sub Saharan Africa. The continent continues to experience low production as a result of the low and declining soil fertility and land degradation, which have been compounded by unfavorable climatic conditions. Since the 1960s, there have been effort to transform the agricultural sector through promotion of diverse approaches of soil nutrient management. Research has demonstrated the potential and importance of fertilizer... A. Bationo |
25. Keynote 6 - Farmer-led design and knowledge sharing: Empowering smallholders to maximize impactProducers Direct is an international non-profit led by smallholder farmers for smallholder farmers. With over a decade of experience in farmer-led design and experimentation, Producers Direct has piloted and scaled a number of in-person and digital solutions that have improved the livelihoods for over 1 million small-scale farmers across East Africa and Latin America to-date. International recognition for our work has included UK Google Impact Challenge winner; World Bank Collaborative D... C. Rhodes |
26. Keynote 8 - Precision Agriculture in Sub- Africa: The Path ForwardSmallholder farmers contribute significantly to food security and rural livelihoods in Africa, but their yields are often low due to declining soil fertility, high input costs, and decreased availability of land for cultivation among other factors. These challenges are exacerbated by climate change. Furthermore, soil physicochemical and biological properties are heterogeneous among farms within same or different agro-ecological zones, with obvious consequences for yields. This variabili... K. Frimpong |
27. Potato Yield Prediction Using Multi-temporal Sentinel-2 Data and Multiple Linear RegressionTraditional potato growth models have a number of flaws, i.e., the cost of data collection, quality of input data, and the absence of spatial information in some cases. To address these challenges, we created a multiple linear regression model (MLRM) that uses the multi-temporal Sentinel-2 derived indices to predict potato yield. Along the growing season (from October 2019 to February 2020) eight Sentinel-2 imageries were collected, afterwards, the normalized difference vegetation index ... M.E. Amin, M.A. Abdelfattah, E.S. Mohamed, A.A. Belal, M. Nabil, A.G. Mahmoud |
28. Impact of Organic Soil Amendments on Fungal Population and Germination of Maize Seeds in Lead Contaminated Soil... A. Aduramigba-modupe |
29. Modelling Fertigation and Micro-Climate Parameters for Greenhouse Tomato (Solanum Lycopersicum L.)Amidst the hiking price of fertilizer and projected water scarcity across the world, it is imperative to explore the interaction between fertilizer, irrigation and genotype notwithstanding the micro-climate parameters so as to maximize yield while protecting the environment. The Decision Support System for Agrotechnology Transfer (DSSAT) is a model which employs all these input factors to help predict yield and thereby make an informed decision. The study sort to calibrate and validate ... Y.K. Agbemabiese, P. Abubakari, P.K. Dzomeku, I. Shaibu |
30. Optimizing Water Use Efficiency in Flood Irrigation Systems in UgandaThere is growing demand for water across different sectors of production. Yet the extent of water wastage to furnish inefficient irrigation systems especially in flood irrigated rice systems, is not known. In developing countries and in Uganda particularly, most irrigation scheduling in the irrigation schemes is based on rotational system rather than crop water needs. In Doho Rice Irrigation Scheme (DRIS) in eastern Uganda for example, farmers’ plots receive up to 50mm ponding of irriga... P. Onen, E. Opolot, G. Olupot, G. Aguttu |
31. Strengthening the Knowledge Base for Sustainable Management of Inland Valleys in West Africa: Two Pilot Case Study Sites from Benin.Inland valleys offer a unique opportunity for increasing food security in West-Africa, but their potential is constrained by poor water management and a limited hydrological understanding. Increasing the hydrological understanding of inland valleys should be based on long term and detailed validated observations of hydrological fluxes in the different components of the inland valleys. We present in this study, two new pilot case study sites which aim observing the long-term dynamics of ... M.A. Tidjani, P.G. Tovihoudji, I.P. Akponikpe, M. Vanclooster |
32. Soil Moisture Sensing for Increased Water Use Efficiency and Crop Yields in Furrow Irrigated Systems: a Case of Mubuku Irrigation Scheme in UgandaWater and nutrient use efficiencies remain low in most of the irrigated systems in developing countries, undermining crop productivity in these areas. This is partly due to lack of precise and site-specific information to guide irrigation scheduling. In most cases information on soil properties and crop water requirements is lacking and thus irrigation scheduling is done on rotational basis whether the crop needs water or not. Consequently, the amount of water stored in soil root zone for cro... E. Opolot, D. Besigye, P. Musinguzi, I.N. Alou, T.A. Basamba, G. Olupot |
33. Delineation of Management Zones of Irrigation Schemes in Nigeria Based on Selected Soil PropertiesEffective field management is required to maximize economic returns and environmental control and soil and crop management. This study was conducted to delineate the management zones (MZ) of Oke-Oyi and Eiyenkorin Irrigation Schemes (EOIS) based on selected soil properties to aid efficient water and fertilizers use and enhance productivity. Soil samples were taken at goe-referenced grid-sampling points. Total soil samples collected for each location at 0 – 20 cm and 20 – 40 cm dep... A.A. Wahab, O.J. Olaniyan, E.H. Ahamefule |
34. Irrigation Regimes and Mulching Effect on Fruit Yield and Water Stress Index of Tomato (Solannum Lycopersicum L.) Varieties in the Guinea Savannah Agroecology of Ghana... R. Adombilla |
35. Spatial-Temporal Assessment of Drought in the Northern Region, Ghana... B. Asante |
36. Public Financing in Agricultural Research Development and Rural Poverty Alleviation: Evidence from West African Economic and Monetary Union StatesThe paper examines the effects of public financing for agricultural research and development on rural poverty based on the variable farm income in the West African Economic and Monetary Union (WAEMU) States. To conduct this analysis, a dynamic panel comprising seven (07) WAEMU States has been built based on secondary data from World Bank, African Development Bank (AfDB) and Food and Agriculture Organization (FAO) databases for the period 2000 to 2016. To correct the endogeneity generated ... O. Dah, T. Bassolet |
37. Leveraging Precision Agriculture Education for Resilient and Sustainable Agriculture in Sub-saharan AfricaImproved agricultural productivity and access to safe and nutritious food is critical to meeting south Saharan Africa (SSA)’s growing food demand and for improving incomes for smallholders in the region. This has to be done in ways that do not compromise natural capital but secure ecosystem functions and services. With almost 60 percent of the region’s population under the age of 25, Precision Agriculture (PA) education for SSA youth is crucial. PA offers the potential to transfor... K.A. Frimpong |
38. Lime and Phosphorus Effects on Soil Acidity and Malt Barley Phosphorus Use Efficiency in Welmera District, Central Highlands of EthiopiaIn Ethiopia, about 43% of total arable land affected by soil acidity. Furthermore, phosphorus (P) deficiency is a major constraint to increase crop yields. Efforts to ameliorate the deleterious effects of soil acidity must therefore be accompanied by measures to increase P availability in soils. Therefore, appropriate rate of lime and P fertilizer is an important strategy for improving crop growth in acidic soils. Accordingly, an experiment was undertaken to study lime and P effects on soil a... N.T. Geremew, B.B. Waraka, L.W. Mirkena |
39. Agronomic Yield Response of Lowland Rice Varieties to Nutrient Application Under Flooded Irrigation in Northern UgandaGlobally, flooded irrigation is a major water management method used to boost rice production. In Uganda, flooded irrigation is being promoted for lowland rice farming amidst the increasing threat of climate change and variability. Use of mineral fertilizer and improved varieties during the rice cropping calender is a measure towards intensive and precision farming for increased yields. However, the response of lowland rice varieties to fertilization with a defined cropping calendar remain no... R. Akena, P. Musinguzi |
40. Fine-tuning Specialty Fertilization Strategies to Local Wheat Production Through On-farm Experimentation in NigeriaWheat specialty fertilizer validation trial was conducted in 8 Local Government Areas (LGAs) of Kano State, Nigeria on farmers field. The specialty fertilizer validation project is implemented to improve the productivity and profitability of small-scale wheat smallholder farmers. Four treatments - absolute control (AC), local control (LC), OCP1 and OCP2 were replicated four times in a RCBD on a plot of 25m2. The AC was based on the indigenous nutrient supply from the soil (no appli... V. Aduramigba-modupe, J.M. Jibrin, . Olabanji, B. Lawan, D. Madukwe |
41. Implementing Field-Based High Throughput Plant Phenotyping: The Open Source Way... Y. Kassim |
42. Engaging Stakeholders in Precision Agriculture Toolbox Conception: Case of Cowpea Atlas Platform Establishment in Benin RepublicCowpea [(Vigna Unguiculata (L.) Walpers] is among the most preferred and consumed legumes in West Africa and grown by many smallholder farmers. The crop has huge potential, is easy to grow and constitute a source of income of many actors involved in different value chains. Unfortunately, despite many interventions which aimed at promoting the crop in West Africa mainly Benin, areas under cowpea crop decrease over the years along with the loss of cowpea-based products. Such problem is... N.V. Fassinou hotegni, Y.L. Godonou, L.M. Gnanglè, O.N. Coulibaly, E.G. Achigan-dako |
43. Adoption of Precision Agriculture Technologies in Ethiopian Agricultural ContextsIn the coming decades, world agriculture will need to under-go a major transformation to meet the future demands of a growing population. Adoption of precision agriculture by smallholder farmers is still at a nascent stage and is limited by several factors. Smallholder farmers suffer from low farm productivity and yields as well as lack of access to inputs, credit, and markets; the lack of digital infrastructure like Internet and electricity; lack of awareness and digital skills among farmers... B.Z. gebrekidan |
44. Analyse De La Variabilité Spatiale Des Rendements De Maïs (Zea Mays L.) Dans Les Régions Des Savanes Et Centrale Du TogoL'agriculture de précision s'impose au Togo. Une étude a été menée dans 5 préfectures du Togo, dont 2 dans la région des Savanes (Oti et Kpendjal) et 3 dans la région Centrale (Sotouboua, Tchamba et Tchaoudjo) avec un total de 20 producteurs en 2021. d'analyser la variation spatiale du rendement en grain du maïs (variété Ikenne) au sein de chaque région sous deux pratiques de gestion agricoles inclua... M. Lare, J. Sogbedji, K. Lotsi, K. Amouzou, A. Ale gonh-goh, A. Agneroh |
45. Variability in Yield Response of Maize to N, P and K Fertilization Towards Site-specific Nutrient Recommendations in Two Maize Belts in TogoLes régions de savane et du centre sont les principales zones de production de maïs au Togo, mais avec des rendements en grains de maïs à un seuil de seulement 1,5 Mg ha -1 . Nous utilisons une approche participative pour évaluer l'importance des trois principaux macro-éléments (N, P et K) pour la culture du maïs dans les deux régions afin de permettre davantage de recommandations d'engrais spécifiques au site ... J. Sogbedji, M. Lare |
46. Using Precision Technologies to Monitor the Grazing Activities of Goat in a North African WoodlandIn the north of Africa, browsing on natural pastures is the main source of feed for domestic goats. Livestock farming, particularly grazing goats, constitutes the prevalent agricultural activity in the mountainous areas of Morocco. Data on animal behavioral activities are essential for understanding their feeding and their interaction with the environment in order to define the optimal management intervention strategies. The recent development of precision farming technologies and the increas... Y. Chebli, M. Chentouf, J. Cabaraux, S. El otmani |
47. New Trends in Precision Agriculture Management: Africa PerspectiveThe ever-increasing human population in Africa demands a corresponding increase in food and fiber production. Although Africa has the 12th highest population growth rates in the world which may double by 2050, food productivity in the region has remained low. A critical challenge facing crop production in Africa is low awareness of precision agriculture (PA) and low soil fertility in many agroecosystems. Available studies show that digital technology is transforming the agricultural sect... V. Aduramigba-modupe |
48. Farmers’ Perception and Willingness to Adopt Drone Technology in AgricultureThe application of drones, Unmanned Aerial Vehicles (UAVs), in agriculture has led to a paradigm shift in farming practices by reducing production costs and increasing operational efficiency and profitability. However, there is a lack of empirical reports on the efficiency and profitability of UAV application to agriculture in Nigeria, limiting the contribution of Nigerian agriculture to the global scientific discourse on drone technology and advancement. This study investigates farmers&rsquo... F.J. Adekoya, S.O. Jimoh, O.A. Ogunsola, T.A. Azeez, R.O. Aminu |
49. Remote Sensing: from Plot Towards Landscape ScalesThe agricultural research sector is working to develop new technologies and decision support tools to sustainably increase food productivity, ensure global food security and decrease poverty. Precision Agriculture (PA) and specially Remote Sensing (RS) technologies have become more affordable in recent years. Cameras have become more compact and lighter, with improved spectral and spatial resolutions. The use of incoming light sensors allows for images to be automatically calibrated to surfac... F. Rodrigues |
50. Tropical Precision Agriculture: the Brazilian ExperienceSoils with limited natural fertility and high dependence on imported fertilizers, in addition to intense natural spatial variability, are factors that made Precision Agriculture (PA) develop in Brazil. More than 20 years of academic and business experience have been accumulated, with intense consulting services with business models adapted to local conditions, involving small, medium and large rural properties. Innovations and challenges are still needed in the field of soil fertility managem... J. Molin |
51. Harnessing Soil Health to Create More Restorative and Resilient Food Systems in the Central Highlands Eco-Region FoodscapeThe relationships among soil health and adoption of regenerative practices, crop productivity, human nutrition and farm profitability are intricate and poorly understood, particularly in the Central Highlands of Kenya. There is a need for a deeper understanding of how soil health is affected by the profitability of preferred value chains among smallholders in this ecoregion. The Central Highlands Ecoregion Foodscape, or the CHEF, which is within the Upper Tana River Basin is centered around f... R. Sitienei |
52. Overview of Precision Agriculture Education in North AmericaDr. Fulton will present about current educational degree programs and courses being taught in North America on precision and digital agriculture. He will also note feedback from industry on precision agriculture educational needs and where universities are heading with their PA programs. ... J. Fulton |
53. Global Renewal and Future of On-farm ExperimentationExperimenting on farm with farmers is gaining momentum as a choice instrument to contribute to addressing global challenges. This presentation will show how the complex histories of field experiments and participatory research are leading toward OFE solutions that are both evidence-based and farmer-centric. Varied communities thread these collaborative innovation pathways, among which those of Precision Agriculture occupy a key position for their ability to leverage scientific rigor, agronomy... M. Lacoste |
54. The Role of Smart-Advisory Services in Climate-resilient AgricultureCrop management is strongly influenced by changes in weather and climate, therefore strengthening resilience and environmental sustainability will require robust advisory services that can support farmers’ decisions. Crop production adaptations to weather, climate variability, and change will need combined efforts from farmers, academia, industry, and government to co-develop solutions, train future workforce not only to advise the farming community but also develop solutions and also e... B. Ortiz |
55. Precision Agriculture in Africa; the Youth Are ReadyPrecision Agriculture holds enormous potential for Africa’s food security and socio-economic development. With the evolvement of the global agricultural systems and the growing emergence of the Fourth Agricultural Revolution (Agric 4.0), Africa is presented with a huge opportunity to leverage precision agriculture to meet its growing population demands in a sustainable environment. Of course, the growth of precision agriculture practices and tools is not without its challenges. However,... F. Adekoya |
56. A Multi-scale Evaluation of Precision Weed Control Strategies in Corn Fields with Drone TechnologyCorn (Zea mays L.) is a worldwide priority crop, whose potential yields are closely affected by weed competence, especially in the early stages of crop development. A major concern in corn-growing areas is the occurrence of Sorghum halepense L., as this weed shows reduced sensitivity to pre-emergence herbicides and, therefore, it is necessary to use post-emergence treatments that entail an increase in cost. This research studied the impact of applying a precision weed (S... J. Peña, A. De castro |
57. Virtual Agronomist - Getting Soil Information and Agronomic Advice into Farmers’ HandsPrecision agronomic advice tailored to individual farm field characteristics and farmer circumstances is currently unavailable to smallholder farmers in Africa. Virtual Agronomist aims to fill this gap by providing scalable agronomic advisory for African agribusinesses working with smallholder farmers. This is a scientifically based mobile phone app that is simple enough to be used with minimal training by field agents. It is designed to help farmers better meet their production and profit ob... K. Shepherd |
58. Precision Farming and Automation in Africa: Challenges and OpportunitiesDigitalization, artificial intelligence, robotics and automation are currently driving a new revolution towards precision farming (PF) and Agriculture 4.0. This will contribute to enhanced sustainability and agroecological advances through optimal use of soil, water, agricultural inputs, as well as pest and weed control, providing accurate decision support systems to farmers. PF is gradually transforming agricultural landscape by supporting farmers with optimized management of inputs and reso... R. Serraj |
59. Driving Up Large Scale Irrigated Wheat Yields Through Variable Rate P & K Fertilizer Recommendations in ZambiaSoil types and how these change across a field/farm are the main drivers of yield. Through the surveying of the fields and their subsequent subdivision (virtual) into homogenous zones, Cropnuts has been able to carry out yearly soil sampling within each zone and generate soil correction plans to target the needs of each individual zone rather than applying blanket recommendations. This has led to improved fertilizer efficiency and has had a massive impact on yields of our clients. ... J. Parigiani |
60. Decentralized Research: an Opportunity to Accelerate the Transition Towards Sustainable Food ProductionThe large majority of farmers experiment on their farms to invent and/or adopt new crop production techniques and technologies. This endogenous experimentation process is slow because it often resembles trial and error and relies on minimal data (e.g., comparing total yield between two fields) to draw conclusions. Digital agronomy can help enhance the scientific value of these experiments and thus enable systematic progress toward working solutions. This presentation will discuss the use... L. Longchamps |
61. How 20 Years of Precision Agriculture Experience Can Benefit Small LandholdersMost people think only larger farms can benefit from incorporating precision agriculture technologies, when the bigger impact happens with smaller farms. A ten percent increase in crop yield is much more impactful for small land holders for various reasons based upon 20 years’ experience, research, and personal utilization. Incorporating remote sensing, drones, small autonomous robots, and other technologies and practices can help small holders increase yield, crop quality, and free up ... R. Blair |
62. Decision-Making Tools in Soil Management and Plant Nutrition On-Farm Research and Observation Plot: Between Reality and ChallengesIn this presentation, we will address a number of decision-making tools and assess their relevance and limitations for the Mediterranean and Tunisia's agricultural conditions. Decision-making tools can be classified, based on the scale, to different levels, ranging from national and regional scale to farm scale. On a large scale, an agricultural policy can be drawn based on the governmental agricultural plans, and soil maps can be adopted as a decision-making tool and thus guide support i... M. Mechri |
63. Phosphorus, a Key Nutrient for a Sustainable AgricultureIn the presentation I will discuss about the dichotomy regarding P between the northern (temperate conditions) and southern (tropical conditions) realities. I will bring the case of Brazil and how the correct management of P was important for the development of its agriculture. At the end, I will close talking about how we need to shift our focus towards improving P use efficiency to solve our issues (both where it is lacking and where it is in excess) and the way to achieve it. ... L. Vergutz |
64. Precision Agriculture for Sustainable Transformation of Food Systems in Africa... A. Bouraqqadi |
65. 4Rs As an Entry Point for Precision Agriculture in Smallholder Farming Systems of AfricaThis presentation will showcase how adoption of the principles of 4R Nutrient Stewardship (Applying nutrients from the Right Source, at the Right Rate, at the Right Time, and in the Right Place) provides a feasible entry point for the integration of Precision Agriculture in Smallholder Farming Systems of Africa. ... S. Njoroge |
66. Together, Let's Make Africa the Epicenter of a Sustainable Transformation of Food Systems... P. Bwire |
67. GNSS and SBAS Technologies for Precision Agriculture in AfricaThis presentation will highlight the various applications in the Agriculture sectors, their performance requirements, and the relevant Global Navigation Satellite System technologies (GNSS) that can meet these requirements. It will focus specifically on Satellite Based Augmentation System (SBAS) and Europe’s Galileo High Accuracy Service as upcoming systems in Africa that the Agriculture user communities are encouraged to leverage. ... A. Kobusinge |
68. Improving Lime and Fertiliser Recommendations for Smallholders Using Co-variate Zoning and Low Cost Mir Soil Testing TechnologySmall-holder farmers lack for them affordable access to crop and field specific lime and fertilisation advice. Another challenge is that while crop and region specific fertiliser blends could be produced, high resolution, unbiased and up to date soil information is lacking and thus crop and region specific blends are not produced. As a result, the farmers are left with a small number of available compound and fertiliser blends that often do not match the crop needs. This is not a convincing s... T. Terhoeven-urselmans |
69. Presentation from Otini Mpinganjira... O. Mpinganjira |
70. Scalling Ag Technologies to Unlock Value for Agriculture in Africa - Insights from UM6P-al Moutmir Case in MoroccoCompletely aligned with the mission of Africa Ag conference to “connect the science and practice needed to put precision agriculture in action for Africa”, UM6P, through its farming development initiative Al Moutmir in Morocco, works hand in hand with all the Ag players to scale innovative solutions to unlock Africa value through responsible technologies. We believe African agriculture is at a transformational moment in its history and a time of incredible po... N. Roudies |
71. Farmer-led Approaches to Digital InnovationDigital agricultural innovation has significant potential to transform the ability of smallholder farmers to engage with and benefit fro precision agriculture. Despite this, the benefits of digital agricultural technologies remain largely inaccessible to most of these smallholder farmers. This presentation will share updates and lessons learnt from Producers Direct’s experiences in designing and scaling farmer-led approaches to digital agricultural innovation. ... C. Rhodes |
72. Agricultural Data Market to Empower African FarmersBy transforming the agricultural data into agronomic advices by using AI model, farmer can get a strong tool to help them making the right decision in the right time. Decision about the quantity and the quality of fertilizer to apply, the quantity and the timing of the irrigation,… Also he can get valuable information about yield prediction, phytosanitary risk. All of this information can help famers reducing its operational cost by up to 30%. To develop robust AI model,... F. Sehbaoui |
73. IA Algorithm for Plant Counting: Palm Oil Trees ExampleCounting and estimating plants can sometimes be a real challenge. In this presentation we will see a concrete example of the application of UAV imagery and AI applied to palm cultivation in order to count the plants on a given area. ... A. Karim |
74. Presentation from ML Jat... M. Jat |
75. Post-Harvest Assessments of On-Farm Maize ExperimentationThe completion of the most recent maize-growing seasons in northern Cote d’Ivoire and Kenya (western and eastern regions) provided a first opportunity for farmers to share assessments from their participation in a new on-farm research initiative for sub-Saharan Africa called NUTCAT - meaning Nutrient-Catalyzed Agricultural Transformation. ... I. Adolwa |
76. Assessment of Nitrogen Fertilization in Tunisian Wheat Production Using Proximal and Remote SensingThe cereal sector in Tunisia covers wide areas in the country from sub-humid to semi-arid zones; most of the fields are rainfed. The sector is suffering from climate change impacts in term of rainfall amount and pattern. Water management policy in the country prioritizes allocating surface water to domestic uses than irrigation. On the other hand irrigation using groundwater (e.g. in Kairouan) continue to over use the water table with an average drawdown of 5 m/year. Because of this, low effi... M. Mechri, O. Alshihabi, H. Angar, I. Nouiri, M. Landolsi, M. Söderström, K. Persson, S. Phillips |
77. Optimizing Durum Wheat Nitrogen Nutrition Index (NNI) Prediction Through Sentinel-2 Vegetation Index IntegrationNitrogen is crucial for durum wheat growth and productivity, but excess or insufficient levels can harm both the environment and farmers' finances. Remote sensing offers rapid, cost-effective, and nondestructive ways to assess crop nutrition, with vegetation indices (VIs) indicating plant health. This study aims to enhance the accuracy of durum wheat nitrogen status prediction by investigating modified formulations of Nitrogen Nutrition Index (NNI) coupled with various vegetation indices ... N. Boughattas, K. Marwa, Z. Mohamed, A. Sawsen, A. Soumaya, H. Hafedh, H. Imen, T. Youssef |
78. Comparative Study on Precision Nitrogen Management for Wheat Using Greenseeker, Chlorophyll Meter and Leaf Color Chart Based on Spectral Characteristics of LeavesCollecting results on nitrogen (N) uptake throughout the growing season using tools such as GreenSeeker optical sensor, chlorophyll meter and Leaf Color Chart (LCC) holds great promise for optimizing N fertilizer management in cereal crops. To investigate this further, field experiments were conducted over two consecutive winter seasons (2017/2018 and 2018/2019) on wheat at the Experimental Farm of the Faculty of Agriculture, Cairo University, located in Giza Governorate, Egypt. The primary o... A. Soaud, E. El-metwally , A. Ali, R. Sayed |
79. Use of “FertiEdge” Application for Optimizing Wheat FertilizationWheat is a crop of global importance, and effective fertilization is crucial to maximize yield and quality. Traditional methods of fertilization often result in under- or over-application of nutrients, resulting in environmental problems and suboptimal crop yields. FertiEdge is a digital application that provides accurate fertilization recommendations based on real-time data, it’s an innovative tool designed to enhance the efficiency of wheat fertilization. This study evaluates its impa... I. Sbai, F. Sehbaoui, M. Hmimou |
80. Modeling of the Optimal Parameters, Improvement and Performance Evaluation of Marc Engine Driven Common Bean (Phaseolus Vulgaris L.) Thresher in EthiopiaThis executive summary provides an overview of the research study conducted on modeling the optimal parameters, improvement, and performance evaluation of the engine-driven bean thresher developed by the Melkassa Agricultural Research Center (MARC) in Ethiopia. The study aimed to enhance the efficiency and productivity of the bean thresher, contribute to sustainable agricultural practices, promote technology adoption, and support the economic development of the agricultural sector. The re... B. Zewdie gebrekidan |
81. The Value and Potential of On-Farm Experimentation to Catalyze Agricultural TransformationOn-farm experimentation (OFE), which inculcates farmers’ agency in knowledge discovery, has the potential to support and accelerate transformative agronomy at scale. The OFE process within the Nutrient-Catalyzed Agricultural Transformation in Africa (NUTCAT) project, encompasses farmer engagements, set-up of simple, easy-to-understand treatment designs, and contextual analysis of the data to enhance the relevance of the results to farmers. Ultimately, it is envisaged that this process w... I. Adolwa, J. Muthamia, C. Lutomia, , S. Cook |
82. On-Farm Experimentation Process Triggers Farmers’ Zeal to Test Technologies in Maize Systems of Embu County, KenyaTo faster farmer participation, knowledge transfer and innovation among all actors, there the need to rethink the process of conducting research. Initiated in 2022, the African Plant Nutrition Research Fund maize project (APNRF maize) set out validate a package of soil moisture and fertilizer nitrogen management practices, and to track farmer adoption of better agronomic practices as supported by data through on-farm experimentation (OFE) process. Prior to the establishment of experiments, fa... O. Kitonyo |
83. Benefits of Precision Agriculture in Sugarcane Farming: A case of KwaZulu-Natal, South Africa... N. Gumede |
84. An Ensemble-Based Deep Learning Approach for Early and Accurate Wheat Disease DetectionCrop diseases are the primarily cause for yield loss and a factor for food security issue around the globe. Crop diseases caused by pathogens pose a significant threat to global food security, the challenge become worst particularly in developing countries like Ethiopia. Rapid population growth and accurate disease identification is crucial for timely intervention and minimizing crop losses. However, traditional methods often rely on expert analysis, which can be time-consuming and resource-i... T. Aboneh, P. Rorissa |
85. Multivariate Regional Deep Learning Prediction of Soil Properties from Near-Infrared, Mid-Infrared and Their Combined SpectraArtificial neural network (ANN) models have been successfully used in infrared spectroscopy research for the prediction of soil properties. They often show better performance than conventional methods such as partial least squares regression (PLSR). In this study we develop and evaluate a multivariate extension of ANN for predicting correlated soil properties: total carbon (C), total nitrogen (N), clay, silt, and sand contents, using visible near-infrared (vis-NIR), mid-infrared (MIR) or comb... R. Nyawasha |