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| Filter results6 paper(s) found. |
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1. Comparative fertilization effects on maize productivity under conservation and conventional tillage on sandy soils in a smallholder cropping system in ZimbabweLow crop yields, food insecurity and abject rural poverty continue to be rampant in much of Southern Africa. Components of conservation agriculture (CA) are being widely promoted in southern Africa as one of the strategies to increase food security and mitigate rural poverty, despite there being scarce empirical evidence on their efficacy on degraded soils. This research aimed to assess the effects of tillage systems on maize grain yields under rain-fed conditions across a soil organic matter... R. Chikowo, S. Zingore, N. Kafesu |
2. 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 |
3. From Drone to Satellite – Does It Work?Multispectral drone-sensors are useful for detailed studies of crop characteristics in field trials, e.g. to create prediction models on nitrogen (N) uptake, or even estimates of optimal N rate to apply. To enable wide application of such models, they may be applied in satellite image-based decision support systems for farmers. However, successful transfer of models based on spectral data from one platform to another, requires strong and stable correlation between data from the different sensors.... M. Söderström, K. Persson |
4. 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 depths... A.A. Wahab, O.J. Olaniyan, E.H. Ahamefule |
5. Maximisation De L’efficience D’utilisation Des Nutriments : Recommandation De Fertilisation à La Carte Pour Le Maïs Sur Les Ferralsols Du Sud-togoL'amélioration de la nutrition des plantes à travers l'agriculture de précision devient incontournable pour l'optimisation de l'entreprise agricole et la protection de l'environnement. Nous avons conduit pendant la grande saison culturelle de 2019 et 2020, sous culture de maïs (Zea mays L.), des essais soustractifs à base de l'azote (N), du phosphore (P) et du potassium (K) à la station d'expérimentations agronomiques (SEAL)... J. Sogbedji, L. William, M. Lare, A. Sekaya, K. Sika , E. Tagba |
6. Evaluating Soil Organic Matter Under a No-Till System Using Digital Sensors (EM38 and MSP3)Agriculture, especially in no-till systems, plays a crucial role in ensuring global food security. The pressure on agricultural lands due to a growing population and climate change necessitates innovative solutions. Proximal soil sensing using electromagnetic induction (EMI) and electrical conductivity (ECa) sensors has gained prominence. These technologies provide rapid, non-destructive measurements of soil properties, offering advantages over remote sensing and laboratory analyses. In... H. Hajjaj, K. Ibno Namr, E. Abdellah , C. El Khalfi |