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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. 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 |
3. Assessment of Nitrogen and Phosphorus Content (NP) in Citrus Trees Using UAV-imagery Derived Vegetation Indices and Machine Learning AlgorithmsMonitoring nutrient status of citrus trees is fundamental to ensure optimum fruit yield and quality. However, this task is traditionally time-consuming and laborious. Unmanned Aerial Vehicles (UAVs), with their high temporal and spatial resolution imagery, are demonstrating a great potential to substitute traditional methods in assessing nutrient status of several crops, including citrus. In this study, we evaluated the performance of vegetation indices (VIs) derived from UAV multispectral images... Z. Abail, H. Benaouda, M. Chikhaoui, H. Benyahia, O. Iben halima, M. Baraka, A. Douaik, H. Iaaich, A. Zouahri, F. Omari |
4. 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 (SC1=... M. Mazinagou, M.J. Sogbedji, A. N'gbendema |
5. Potentials of Unmanned Aerial Vehicles (UAVs) for the Nigerian AgricultureThe continuous development of technology is driving the invention of new machineries such as the Unmanned Aerial Vehicles (UAVs), also known as “drones”. The UAVs have become much more popular within the last decade for its significant roles in agriculture among other industries, yet their applications in Nigeria are yet to be appreciated. Therefore, the present study reviewed the characteristics and multiple uses of UAVs in agriculture and their potentials for the Nigerian... M. Kabir, S. Ekici |
6. 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 the... A. N'gbendema, M.J. Sogbedji, M. Mazinagou |
7. Rice Production System and Major Nutrients Balance Assessment in Rice Cropping in the Irrigated Perimeter of the Zio ValleyKnowledge of cropping systems and farming practices are essential towards improving crop yields. This study aims to characterize rice production systems, analyse fertilization practices and assess the impact of irrigated rice on the balance of major nutrients in Zio valley. The characterization of production systems and fertilization practices were carried out through a survey of a sample of 192 randomly selected producers, i.e. 34% of the total number of farmers in the four (4) villages of the... 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 was... B.O. Orwa |
9. Detecting the Impact of Hail Damage on Maize Crops in Smallholder Farms Using Unmanned Aerial Vehicles Derived Multispectral DataNatural disasters such as hailstorms are now frequent and negatively impact smallholder farmers' livelihoods. In these events, there is a need for robust and innovative techniques for monitoring the extent of their damage in smallholder croplands to optimise production. In this regard, this study sought to evaluate the utility of drone-derived multispectral data in estimating crop health elements (i.e., equivalent water thickness (EWT), chlorophyll content, and leaf area index (LAI) of maize... M. Sibanda |
10. A Comparative Estimation of Maize Leaf Moisture Content on Smallholder Farming Systems Using Unmanned Aerial Vehicle (UAV) Based Proximal Remote SensingUnderstanding maize moisture conditions is necessary for crop monitoring and developing early warning systems to optimise agricultural production in smallholder farms. Therefore, this study evaluated the utility of UAV derived multispectral imagery and machine learning techniques in estimating maize leaf moisture indicators; equivalent water thickness (EWT), fuel moisture content (FMC) and specific leaf area (SLA). The results illustrated that both NIR and red-edge derived spectral variables were... S. Ndlovu |