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1. MAPPING AND ASSESSING AFRICAN SOILS FERTILITY USING HIGH-RESOLUTION REMOTE SENSING AND MACHINE LEARNING APPROACHES: STATE-OF-THE-ART AND PERSPECTIVESAfrica is far from exploiting its true agricultural potential. United Nations Food and Agriculture Organization (FAO) indicates that the continent has 60% of non-cultivated lands worldwide. While soil fertility is well highlighted as one of the major limiting factors, only limited information is available on soil nutrient contents and nutrient availability in the African soils. Soil fertility of agricultural fields is related to many physical and chemical properties, such as texture, organic matter... M. Hmimou, A. Laamrani, F. Sehbaoui, A. Chehbouni, S. Khabba, D. Dhiba |
2. QUANTIFICATION OF OPTIMAL FERTILIZERS DEMAND IN WHEAT AND CORN FIELDS IN MOROCCO USING VERY HIGH-RESOLUTION REMOTE SENSED IMAGERY AND HYBRID COMPUTATIONAL APPROACHESAbstract. Demand on agricultural products is increasing as population continues to grow. Data driven management of macronutrients (i.e., nitrogen (N), phosphorus (P) and potassium (K)) and crops are of critical prominence to get the most out of soil in terms of crop yield while preserving environment. This study aims to establish a quantitative framework for macronutrient (i.e., nitrogen, phosphorus, and potassium) status (i.e., excess, deficiency) for winter wheat (Triticum aestivum... K. Misbah, A. Laamrani, A. Chehbouni , D. Dhiba , J. Ezzahar, K. Khechba |
3. Monitoring irrigation water use at large scale irrigated areas using remote sensing in water scarce environmentIncreasing pressure on available water resources in semi-arid region will affect the availability of water for irrigated agriculture. In this context, adoption of innovative and cost-effective tools for water management and analysis of water use patterns in irrigated areas is required for an efficient and sustainable use of water resources. This study aims to evaluate a remote sensing-based approach which allows estimation of the temporal and spatial distribution of crop evapotranspiration... M. Kharrou, V. Simonneaux, M. Le page, S. Er-raki, G. Boulet, J. Ezzahar, S. Khabba, A. Chehbouni |
4. 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 spectral... T. Terhoeven-urselmans, D. Fletcher, M.M. Karanja, J.W. Kamau |
5. 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 system... C. Nakalembe |
6. Precision Maize Nutrition: Evidences from On-farm Experimentation of Quefts Estimated Nutrient Requirement for Variable Densities in Smallholder Farmers in EthiopiaQuantitative Evaluation of the Fertility of Tropical Soils (QUEFTS) model is an important tool for estimating optimal nutrient requirement of crops. The study was conducted to evaluate QUEFTS estimated (QE) nutrient requirement of maize in two pant densities (32,443 and 53,333 plants/ha in Central Rift Valley (CRV); 27724 and 62,000 plants/ha in Jimma) on fields of three farmers wealth classes (poor, medium and wealth) in contrasting agro-ecologies of Ethiopia. QUEFTS follows a target oriented... W.B. Kenea, T.B. Tura, A.N. Woldekristos |
7. Development of a Decision Support Tool to Derive Site-specific Nutrient Management Recommendations for Maize Production Using Machine LearningAgriculture is the main source of food and income for rural communities in developing countries, especially in Africa. Given current population growth, pressures on agricultural systems will continue to increase. Many countries have agricultural economies that are highly dependent on agricultural productivity. For example, several variables can influence fertilization for optimal grain yields. Quantifying the effects and relative importance of soil properties such as soil type, pH, Olsen-P, climate,... O. Ennaji, L. Vergutz, A. El allali |
8. Use of Earth Observation Imagery, Advanced Modelling Algorithms and Other Monitoring Systems to Produce Operational Agricultural Annual Crop Inventories for Morocco.African farmers are facing the challenges of a changing climate, increased temperatures, changes in rainfall patterns, more frequent extreme weather events and reductions in water availability. The digital transformation of the agricultural sector is one of the opportunities that can promote good practices of the African agricultural through the sharing of information and tools for decision-making, thereby, boost economic growth of our African country. The shift to digital technologies is... M. Choukri, A. Laamrani , V. simonneaux , B. Gerard , S. Belaqziz, A. Chehbouni, K. Misbah, H. Mcnairn |
9. 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 |
10. Rhizobial Symbionts of Kersting's Groundnut: Insights into Their Biodiversity in African Soils and Potential Utilization As Inoculants in Sustainable Agriculture... M. Mohammed |
11. Real-Time Moisture Control in Irrigation Systems for Water Use Efficiency and Climate Change Resilience. A ReviewDue to the increasing water scarcity and uncertainties of climate change, improving crop water use efficiency and productivity, at the same time minimizing detrimental effects on the environment to meet the world's rising food demand. Thus, is necessary to adopt innovative irrigation strategies, such as drip irrigation. Smart irrigation has a potential of improving water use efficiency in precision agriculture. Conventionally, irrigation systems rely on heuristic methods in order to schedule... D. Kindikiza |