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| Filter results8 paper(s) found. |
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1. Mapping spatial variability of soil nutrient deficiencies in smallholder villages – a prerequisite for improved crop production in AfricaSmallholder farming is the dominating type of agricultural production in many parts of Africa. If cultivation practices can be adapted to match the specific needs of individual smallholder plots, this can certainly be regarded as a form of precision agriculture (PA), considering their limited size. A fundamental prerequisite for successful application of PA is the availability of basic information on soil properties at a detailed enough level. To fill yield gaps, site specific information must... M. Söderström, K. Piikki, J. Kihara, J. Mutua, J. Wetterlind |
2. GESTION STRATEGIQUE DES NUTRIMENTS POUR L’AMELIORATION DU RENDEMENT ET DE LA PROFITABILITE ECONOMIQUE DU GOMBO (Abelmoschus esculentus L.) SUR LES SOLS FERRALITIQUES AU SUD TOGODes stratégies efficientes de gestion des nutriments sont indispensables pour une production agricole améliorée et durable. La performance du gombo (Abelmoschus esculentus L.) a été évaluée sous cinq approches de fertilisation dans un cycle de deux cultures successives à la Station d’expérimentations agronomiques de l’Ecole Supérieure d’Agronomie de l’Université de Lomé (SEA/ESA/UL),... K. Kotchadjo, J.M. Sogbedji |
3. CropSAT – opportunities for applications in precision agriculture in AfricaThe present paper aims at describing the CropSAT system, a Sentinel-2-based interactive decision support system (DSS) that provides vegetation index (VI) maps free-of-charge all across the globe for different applications in precision agriculture. We summarize research results from the ongoing developmental process and pointing to opportunities for development and application in precision agriculture in Africa. The DSS was initially developed in a research project at the Swedish University of... O. Alshihabi, I. Nouiri, M. Mechri, H. Angar, K. Piikki, J. Martinsson, M. Söderström |
4. Performance agronomique et économique de différentes stratégies de gestion de la fertilité du sol sous culture de soja (Glycine max L. Merril) dans la zone littorale du Togo.Ce travail a pour objectif de valoriser les émondes de deux légumineuses arbustives et quelques fertilisants organiques pour améliorer la production du soja. Afin de parvenir à cet objectif, les paramètres comme la masse de mille graines, les rendements en gousses, en graines, en fanes du soja et autres ont été déterminés. L’étude a eu lieu à la Station d’Expérimentation Agronomique de Lomé (SEAL)... K.M. Amouzouvi, K.E. Ozou, L. Kolani, K.A. Amouzouvi, J.M. Sogbedji |
5. ASSESSMENT OF THE AGRONOMIC EFFECTIVENESS OF DIFFERENT PHOSPHATE AMENDMENT-BASED OF MOROCCO PHOSPHATE ROCK (PR) AND WATER SOLUBLE TRIPLE SUPERPHOSPHATE (TSP) FERTILIZER ON RICE LOWLAND YIELD IN ACIDS SOILS OF WEST AFRICA HUMID ZONEThe purpose of this study was to test the agronomic effectiveness of different types of phosphates amendments based of Morroco phosphate rock (PR) and of triple super phosphate (TSP) on rice yield in acidic soils. Soils which pH were very low to low acidic (pH <6) were selected in three agroecological zones : Man, Gagnoa and Bouaké. The following eight treatments resulting to the combinaison of differents proportions of PR and TSP were implemented on-field before planting rice: Absolute... A. Bongoua-devisme |
6. 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 |
7. 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 |
8. Optimizing Durum Wheat Nitrogen Nutrition Index (NNI) Prediction Through Sentinel-2 Vegetation Index IntegrationNitrogen 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 (VIs),... N. Boughattas, K. Marwa, Z. Mohamed, A. Sawsen, A. Soumaya, H. Hafedh, H. Imen, T. Youssef |