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| Filter results6 paper(s) found. |
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1. Using Remote Sensing to Develop Site-Specific Nitrogen Management in Citrus OrchardsIntegrating multivariate spatial analysis with the delineation of site-specific management zones (MZ) provides a basis for practical and cost-effective management of water and nitrogen (N) fertilization in precision agricultural (PA). In many crops, measurements of leaf N content are used to assess the plant’s nutritional status and to develop fertilizer application plans for optimal yields. Accordingly, the aim of this study was to develop leaf N content prediction for citrus based on multispectral... E. Rave, N. Ohana, R. linker, D. Termin, A. Beryozkin, T. Paz-kagan, S. Baram |
2. 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 |
3. détermination du bilan minéral partiel des exploitations agricoles à base du coton à l’aide du modèle NUTMONLa dégradation des sols des exploitations agricoles constitue ces dernières années une des causes principales des baisses de rendements au champ. A cet effet, la détermination quantitative des éléments nutritifs des sols cultivés peut contribuer à concevoir des stratégies de gestion durable de la fertilité de ces sols. C’est dans cette optique que 30 exploitations agricoles à base de coton ont été... A. Komlan, K. Kokou zovodu, A. Bassarou, G. Esso-iheyou, P. Justin |
4. Mapping African soils at 30m resolution - iSDAsoil - Eastern Time Zones“iSDAsoil” combines remote sensing data and other geospatial information with carefully stratified point samples subjected to spectral analysis and traditional wet chemistry reference analysis. State of the art machine learning techniques were used to create digital maps of 17 agronomically important soil properties at 3 depths, including estimates of uncertainty. iSDAsoil is designed to encourage sharing and we hope that the owners of other soil and agronomic data, in industry... C. Van beek, M. Chernet, S. Aston, M. Miller, J. Collinson, K. Shephard, J. Crouch, T. Terhoeven-urselmans |
5. 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 situation... T. Terhoeven-urselmans |
6. Optimizing Maize Production Through Minimum Tillage in Conservation Agriculture Systems: Evidence from Malawi's LowlandsSustainable intensification in agricultural systems has been implemented and promoted across Sub-Saharan Africa (SSA) as a strategy for addressing low crop productivity often resulting in widespread food and nutritional insecurity. This study sought to assess the productivity potential of conservation agriculture (CA) cropping systems and associated crop establishment techniques in terms of grain, protein and energy yield. An on-station trial was implemented at Chitala Research Station in Malawi... D. Nyamayevu, I. Nyagumbo, W. Liang , R. Li |