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AfPCA Proceedings 2024

Proceedings

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Climate Smart Agriculture
Adoption of Precision Agriculture
Robotics, Automation, and Small Farm Mechanization
Precision Agriculture for Small Holders
Keynote
Satellite Imagery
Plenary Session
Precision Nutrient Management
On-Farm Experimentation
On-Farm Experimentation
Economics of Precision Agriculture
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Authors
A. Akogo, D
ALE GONH-GOH, A
Abdellatif, M.A
Abdul Rasheed, M
Abdul Rashid, I
Aberkani, K
Abuli, J
Achigan-Dako, E.G
Achigan-Dako, E.G
Adeboye, M.K
Adekoya, F
Adekoya, F.J
Adolwa, I
Adolwa, I
Aduramigba-Modupe, V
Aduramigba-Modupe, V
Aduramigba-Modupe, V
Agneroh, T
Ajeigbe, H.A
Akena, R
Akinseye, F.M
Ali, A
Alshihabi, O
Aminu, R.O
Amouzou, K
Angar, H
Aphing, N
Azeez, T.A
Azonhoumon, L.W
BROU, C
Badamasi, M.M
Bakirdjian, E
Balota, M
Belal, A.B
Blair, R
Bonnardel, B
Boughattas, N
Bouraqqadi, A
Bwire, P
Cabaraux, J
Charvat, K
Chebli, Y
Chentouf, M
Cook, S
Coulibaly, O.N
Crouch, J
Cursoli, G
D. Burow, M
Danquah, A
Di Gennaro, S
Diro, S
Dossa, B.M
Egeru, A
El Otmani, S
El-Metwally, E
Emam, M.S
FASSINOU HOTEGNI, V
Fassinou Hotegni, N.V
Fletcher, D
Fulton, J
Gatto, S
Gebrekidan, B.Z
Geremew, N.T
Gnanglè, L.M
Godonou, Y.L
Gumede, N
Hafedh, H
Harigaya, T
Hendway, E.A
Hmimou, M
Hoisington, D
Imen, H
JAT, M
Jalhoum, M.E
Jibrin, J.M
Jimoh, S.O
Kamau, J.W
Kanvenaa Puozaa, D
Karanja, M.M
Karim, A
Kassim, Y
Kayad, A
Khosla, R
Kitonyo, O
Kobusinge, A
Kofi Sie, E
Kubickova, H
LARE, M
LOTSI, K
Lacoste, M
Landolsi, M
Lare, M
Lawal, B
Lawan, B
Longchamps, L
Lutomia, C
MECHRI, M
MECHRI, M
MOUHAMADOU, L
Madukwe, D
Majaliwa, M.J
Marinello, F
Marwa, K
Matese, A
Mirkena, L.W
Mohamed, E.S
Mohamed, Z
Mohammed, I.B
Molin, J
Mpinganjira, O
Musinguzi, P
Muthamia, J
Njoroge, S
Nouiri, I
Ogunsola, O.A
Oke, A.O
Olabanji, O
Ortiz, B
Osia, M
Parigiani, J
Peets, S
Persson, K
Peña, J
Phillips, S
Pirotti, F
Rhoads, J
Rhodes, C
Richard Oteng-Frimpong, R
Rodrigues, F
Roudies, N
SEHBAOUI, F
SOGBEDJI, J
Safar, V
Said, M
Samri, S
Sartori, L
Sawsen, A
Sayed, R
Sbai, I
Sehbaoui, F
Serraj, R
Shepherd, K
Sitienei, R
Soaud, A
Sogbedji, J
Sogbedji, J.M
Soumaya, A
Sozzi, M
Söderström, M
Terhoeven-Urselmans, T
Terhoeven-Urselmans, T
Toscano, P
Tsado, P.A
Tukur, A
Vergutz, L
Waraka, B.B
Woods, S
Yamungu, A.B
Youssef, T
Zahran, M
Zhu, J
de Castro, A
Topics
On-Farm Experimentation
Precision Agriculture for Small Holders
Adoption of Precision Agriculture
On-Farm Experimentation
Satellite Imagery
Keynote
Plenary Session
Precision Nutrient Management
Climate Smart Agriculture
Economics of Precision Agriculture
Type
Oral
Poster
Year
2024
2020
2022
Home » Topics » Results

Topics

Filter results64 paper(s) found.

1. SIMULATION OF CASSAVA YIELD UNDER DIFFERENT CLIMATIC SCENARIOS IN KILEMBWE, SOUTH-KIVU PROVINCE EASTERN DR CONGO

Climate 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 Ethiopia

Many 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 zone

Climate 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 Agriculture

The 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 Imagery

Agricultural 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 Applications

Currently, 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, Nigeria

The 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 Uganda

Approximately 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 smallholders

Field 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 development

The 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, Nigeria

Smallholding 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’ SERVICE

Preliminary 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, Egypt

The 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 Systems

The 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 Review

During 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 level

The 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 Agriculture

The 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 project

Le 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 Togo

Research 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. Lime and Phosphorus Effects on Soil Acidity and Malt Barley Phosphorus Use Efficiency in Welmera District, Central Highlands of Ethiopia

In 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

21. Agronomic Yield Response of Lowland Rice Varieties to Nutrient Application Under Flooded Irrigation in Northern Uganda

Globally, 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

22. Fine-tuning Specialty Fertilization Strategies to Local Wheat Production Through On-farm Experimentation in Nigeria

Wheat 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

23. Implementing Field-Based High Throughput Plant Phenotyping: The Open Source Way

... Y. Kassim

24. Engaging Stakeholders in Precision Agriculture Toolbox Conception: Case of Cowpea Atlas Platform Establishment in Benin Republic

Cowpea [(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

25. Adoption of Precision Agriculture Technologies in Ethiopian Agricultural Contexts

In 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

26. Analyse De La Variabilité Spatiale Des Rendements De Maïs (Zea Mays L.) Dans Les Régions Des Savanes Et Centrale Du Togo

L'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

27. Variability in Yield Response of Maize to N, P and K Fertilization Towards Site-specific Nutrient Recommendations in Two Maize Belts in Togo

Les 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

28. Using Precision Technologies to Monitor the Grazing Activities of Goat in a North African Woodland

In 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

29. New Trends in Precision Agriculture Management: Africa Perspective

The 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

30. Farmers’ Perception and Willingness to Adopt Drone Technology in Agriculture

The 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

31. Remote Sensing: from Plot Towards Landscape Scales

The 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

32. Tropical Precision Agriculture: the Brazilian Experience

Soils 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

33. Harnessing Soil Health to Create More Restorative and Resilient Food Systems in the Central Highlands Eco-Region Foodscape

The 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

34. Overview of Precision Agriculture Education in North America

Dr. 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

35. Global Renewal and Future of On-farm Experimentation

Experimenting 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

36. The Role of Smart-Advisory Services in Climate-resilient Agriculture

Crop 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

37. Precision Agriculture in Africa; the Youth Are Ready

Precision 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

38. A Multi-scale Evaluation of Precision Weed Control Strategies in Corn Fields with Drone Technology

Corn (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

39. Virtual Agronomist - Getting Soil Information and Agronomic Advice into Farmers’ Hands

Precision 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

40. Precision Farming and Automation in Africa: Challenges and Opportunities

Digitalization, 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

41. Driving Up Large Scale Irrigated Wheat Yields Through Variable Rate P & K Fertilizer Recommendations in Zambia

Soil 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

42. Decentralized Research: an Opportunity to Accelerate the Transition Towards Sustainable Food Production

The 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

43. How 20 Years of Precision Agriculture Experience Can Benefit Small Landholders

Most 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

44. Decision-Making Tools in Soil Management and Plant Nutrition On-Farm Research and Observation Plot: Between Reality and Challenges

In 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

45. Phosphorus, a Key Nutrient for a Sustainable Agriculture

In 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

46. Precision Agriculture for Sustainable Transformation of Food Systems in Africa

... A. Bouraqqadi

47. 4Rs As an Entry Point for Precision Agriculture in Smallholder Farming Systems of Africa

This 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

48. Together, Let's Make Africa the Epicenter of a Sustainable Transformation of Food Systems

... P. Bwire

49. GNSS and SBAS Technologies for Precision Agriculture in Africa

This 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

50. Improving Lime and Fertiliser Recommendations for Smallholders Using Co-variate Zoning and Low Cost Mir Soil Testing Technology

Small-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

51. Presentation from Otini Mpinganjira

... O. Mpinganjira

52. Scalling Ag Technologies to Unlock Value for Agriculture in Africa - Insights from UM6P-al Moutmir Case in Morocco

Completely 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

53. Farmer-led Approaches to Digital Innovation

Digital 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

54. Agricultural Data Market to Empower African Farmers

By 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

55. IA Algorithm for Plant Counting: Palm Oil Trees Example

Counting 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

56. Presentation from ML Jat

... M. Jat

57. Post-Harvest Assessments of On-Farm Maize Experimentation

The 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

58. Assessment of Nitrogen Fertilization in Tunisian Wheat Production Using Proximal and Remote Sensing

The 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

59. Optimizing Durum Wheat Nitrogen Nutrition Index (NNI) Prediction Through Sentinel-2 Vegetation Index Integration

Nitrogen 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

60. Comparative Study on Precision Nitrogen Management for Wheat Using Greenseeker, Chlorophyll Meter and Leaf Color Chart Based on Spectral Characteristics of Leaves

Collecting 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

61. Use of “FertiEdge” Application for Optimizing Wheat Fertilization

Wheat 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

62. The Value and Potential of On-Farm Experimentation to Catalyze Agricultural Transformation

On-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

63. On-Farm Experimentation Process Triggers Farmers’ Zeal to Test Technologies in Maize Systems of Embu County, Kenya

To 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

64. Benefits of Precision Agriculture in Sugarcane Farming: A case of KwaZulu-Natal, South Africa

... N. Gumede