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1. Drivers of Post-harvest Aflatoxin Contamination: Evidence Gathered from Knowledge Disparities and Field Surveys of Maize Farmers in the Rift-valley Region of KenyaMaize-dependent populations in sub-Saharan Africa are continually exposed to aflatoxin poisoning owing to their regular consumption of this dietetic cereal. Being a staple in Kenyan households, consumption of maize-based meals is done almost daily, thereby exposing consumers to aflatoxicoses. This study assessed awareness levels, knowledge disparities and perceptions regarding aflatoxin contamination at the post-harvest phase among farmers in the Rift-valley region of Kenya. Households were r... G.W. Gachara, R. Lahlali, R. Suleiman, B.M. Kilima |
2. 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 |
3. The Use of Precision Agriculture Tools to Monitor the Growth Performance of Pineapple in Different Soil Management SystemsPineapple production is important in Ghana as a source of food, raw material for industry and foreign exchange from export, especially to the European Union (EU) market. In Ghana, pineapple growth and yield assessment are done with field-based measurements and chemometric methods in laboratories, but, collecting primary data in this way is time-consuming, costly, and laborious. Moreover, there are few technically skilled people with specialization in rigorous laboratory methods, and inf... E. Hanyabui |
4. 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 |
5. Productivity and Profitability of Maize (Zea Mays L.) As Affected by Planting and Fertilization Schemes on the Ferralsols of Southern TogoA sustainable improvement of crop productivity and profitability in the current context of climate change and land degradation is necessary to meet the food and cash needs of a ceaselessly growing population. In order to help achieve this aim, we carried out a 2-year experiment (2020 and 2021) at the University of Lomé Agronomic Experiment Station. The experiment was set up in a split-plot design, composed of eight (08) treatments in three (03) replicates each. Two planting schemes (SC... M. Mazinagou, M.J. Sogbedji, A. N'gbendema |
6. Precision Agriculture the Key to Increased Productivity for Smallholder FarmersThe aim of this study was to analyze the impact of precision agriculture on the farming operations of smallholder farmers in South-East Nigeria. In general, the system of farming in Nigeria lacks precision especially since it is being practised primarily by smallholder farmers and is mainly determined and analyzed using mundane, redundant, and time-consuming technology. This has resulted in uneven food production potential across the value chains. Agricultural Input waste despite its growing ... T.O. Eni |
7. Determination of Major Limiting Nutrients and Site-specific Fertilizer Recommendation Towards Optimizing Rice Production in the Irrigated Perimeter of the Zio Valley (Togo)Adoption of appropriate inorganic fertilization schemes is essential to improving fertilizer use efficiency and crop performance. This study aims to contribute to the improvement of rice yields in the irrigated perimeter of the Zio Valley in Togo through appropriate inorganic fertilization. Nutrient omission trials were set up during November 2020 to March 2021 and May to September 2021, with producers identified in the four (04) villages (Mission Tove, Ziowonou, Kovie and Assome) located in ... A. N'gbendema, M.J. Sogbedji, M. Mazinagou |
8. Integrated Packages Incorporating Reduced Tillage, Residue Retention and Cropping System Influence Green Gram Growth and YieldReduced tillage, residue retention and intercropping are factors influencing how rain fed systems of cropping are productive as well as sustainable. Green gram as well as sorghum is the main crops grown by small-scale who have insufficient resources, and the produce is used for home consumption. A field experiment was conducted to evaluate green gram crop response to reduced tillage, residue retention and intercropping with sorghum in the dry-lands environments in Kenya. The aim of the study ... B.O. Orwa |
9. 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 |
10. Utilizing Guards (Growing Universal Agronomic Research Data Standard) and the Fair Principles for Data Standardization and Agronomic InsightsThe quantity and scope of agronomic data available for researchers in both industry and academia is increasing rapidly. Data sources include a myriad of different streams, such as field experiments, sensors, climatic data, socioeconomic data or remote sensing. The lack of standards and workflows frequently leads agronomic data to be fragmented and siloed, hampering collaboration efforts within research labs, university departments, or research institutes. Researchers and businesses therefore ... S. Sela |
11. 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 |
12. 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 |
13. 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 |
14. 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 |
15. 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 |
16. 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 |
17. 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 |
18. Precision Agriculture for Sustainable Transformation of Food Systems in Africa... A. Bouraqqadi |
19. 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 |
20. Together, Let's Make Africa the Epicenter of a Sustainable Transformation of Food Systems... P. Bwire |
21. 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 |
22. 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 |
23. Presentation from Otini Mpinganjira... O. Mpinganjira |
24. 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 |
25. 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 |
26. 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 |
27. 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 |
28. Presentation from ML Jat... M. Jat |
29. 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 |
30. Enhancing Crop Yield in Smallholder Farming Systems of Northern Ghana: The Role of 4R Nutrient Stewardship... A. Haruna |
31. Impact of Organic Soil Amendments on Fungal Population and Germination of Maize Seeds in Lead Contaminated Soil... A. Aduramigba-modupe |
32. Estimating Maize Evapotranspiration in Smallholder Farms Using UAV-derived Data and Surface Energy Balance Modelling Techniques... A. Nyawose |