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| Filter results12 paper(s) found. |
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1. Precision Farming Using Spatial Soil Variability Maps for Improved Banana Nutrient Management in UgandaBanana is one of the most important crops for millions of farmers in Uganda. However, its production has remained low due to limited understanding of the variability of soils for targeted nutrient management. Measures that improve the understanding of soils are instrumental to guide precision nutrient management in highly heterogeneous cropping systems. A study was conducted on a Ferralsol in central parts of Uganda to assess the spatial variability of Soil Organic Carbon (SOC), Total nitrogen... P. Musinguzi |
2. VALIDATION OF CLIMATE SMART AGRICULTURAL TECHNOLOGIES FOR IMPROVED CROP YIELDS IN SEMI-ARID LANDS IN KENYAKenya’s Vision 2030 economic strategy identifies agriculture as one of the key sectors to drive the Country’s economy. However, the agricultural sector faces various challenges. For instance, the sector is predominantly rain-fed due large coverage of arid and semi-arid lands (ASALs) which is approximately 84% of the total land area. Due to challenges associated with rain-fed agriculture in Kenya, the ASALs have the lowest development indicators and the highest incidence of... A.O. Esilaba |
3. Decision Support System for Precision Agriculture management Case study : El Salihiya –east Nile delta, Egypt.Soil is a complex mixture of living organisms and organic material, along with soil minerals. the main objective of this work is develop a new methods to improve the agricultural management .The current study relies on developing a decision-making model for agricultural operations to manage potato crops in the El Salihiya area using field data,laboratory analysis and field sensor measurements. The precision agriculture decision support system entitled (EGYPADS) was designed and developed... A. Belal , S. abd el-kader, B. Mamdouh , M. A el-shirbeny, M. abdellatif1, M. Jalhoum , M. Zahran, E.S. Mohamed |
4. Mapping African soils at 30m resolution - iSDAsoil - Western 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... J. Crouch, K. Shephard, M. Miller, J. Collinson, P. Singh, P. Pypers, R. Van den bosch, C. Van beek, M. Chernet, S. Aston |
5. Cartographie interactive des exploitations de noix de cajou des producteurs de la coopérative COPRODIGO de GohitaflaL’agriculture a connu de profondes mutations : la spécialisation, la réduction de la main d’œuvre agricole, la mécanisation croissante. Ces dernière années, l'intégration des technologies de l'information et de la communication dans la gestion des exploitations agricoles a donné naissance à l'agriculture de précision. Ces innovations technologiques permettent de piloter et d’optimiser les principales... S. Koné |
6. Strengthening the Knowledge Base for Sustainable Management of Inland Valleys in West Africa: Two Pilot Case Study Sites from Benin.Inland valleys offer a unique opportunity for increasing food security in West-Africa, but their potential is constrained by poor water management and a limited hydrological understanding. Increasing the hydrological understanding of inland valleys should be based on long term and detailed validated observations of hydrological fluxes in the different components of the inland valleys. We present in this study, two new pilot case study sites which aim observing the long-term dynamics of water... M.A. Tidjani, P.G. Tovihoudji, I.P. Akponikpe, M. Vanclooster |
7. Soil Moisture Sensing for Increased Water Use Efficiency and Crop Yields in Furrow Irrigated Systems: a Case of Mubuku Irrigation Scheme in UgandaWater and nutrient use efficiencies remain low in most of the irrigated systems in developing countries, undermining crop productivity in these areas. This is partly due to lack of precise and site-specific information to guide irrigation scheduling. In most cases information on soil properties and crop water requirements is lacking and thus irrigation scheduling is done on rotational basis whether the crop needs water or not. Consequently, the amount of water stored in soil root zone for crop... E. Opolot, D. Besigye, P. Musinguzi, I.N. Alou, T.A. Basamba, G. Olupot |
8. Comparative Assesement of Interpolation Techniques in Predicting Soil Properties on a Sloping Pasture Land Under Fallow in a Ferralsol in UgandaSoil variability is a major challenge in application of mineral fertilizers in Sub-Saharan Africa (SSA). Use of soil fertility maps can effectively guide the use of mineral or organic fertilizers or fertilizers. Interpolation techniques are widely used in the formulation of these fertility maps. The precision of spatial interpolation techniques for predicting unmeasured values have been reported by various researchers but there are cconflicting findings regarding the relative performance of these... J.M. Menya, P. Musinguzi, J.M. Mwanjalolo |
9. Agronomic Yield Response of Lowland Rice Varieties to Nutrient Application Under Flooded Irrigation in Northern UgandaGlobally, flooded irrigation is a major water management method used to boost rice production. In Uganda, flooded irrigation is being promoted for lowland rice farming amidst the increasing threat of climate change and variability. Use of mineral fertilizer and improved varieties during the rice cropping calender is a measure towards intensive and precision farming for increased yields. However, the response of lowland rice varieties to fertilization with a defined cropping calendar remain now... R. Akena, P. Musinguzi |
10. The Global Crop Nutrient Removal Database (Gcnrd): Development, Initial Analysis and Identification of Current Data GapsImproved understanding of the factors affecting nutrient uptake can enable production optimization, increased nutrient use efficiencies, reduced environmental footprints, and overall higher economic returns for farmers. Crop uptake is affected by genetics, soil, weather, agronomic practices, and their interactions. As such, understanding the way crop nutrient uptake varies across different regions and production environments requires the coverage of various parameters, and necessitates collaboration... C. Ludemann, A. Dobermann, N. Graff, S. Sela, M. Van loon, R. Hijbeek, M. Van ittersum |
11. A Synopsis of Water and Nutrient Requirements of Hass Avocado for Uganda and Sub-saharan Africa PractitionersHass avocado production is increasing in Uganda and sub-Saharan Africa (SSA) to tap into the lucrative market especially in Western Europe, China, Japan, and Russia. However, there is limited information about its water and nutrient requirements in end-user-friendly formats especially in Uganda and SSA. We consolidated the scanty information about water and nutrient requirements of Hass avocado and made necessary recalculations and unit conversions to aid meaningful uptake of the information by... P.C. Odong, G. Olupot, T.L. Odong, A. Mwije, P. Musinguzi, I.N. Alou, T.A. Basamba, P. Ebanyat, E. Opolot |
12. Toward Precision Agriculture by Assessing FAO Soil Data Accuracy with Localised Soil Mapping in Mid-Western UgandaProper soil mapping remains a major input for efforts that aim at developing context specific soil and crop management. Soil maps often enable policy makers and other agricultural extension programs to establish the suitability of land for various production systems. Currently, most soil maps have been developed basing in the FAO soil data bases at a scale of 1:50,000 yet farmers and other local land users require fine scales to guide decision in the use of fertilizers and selection of suitable... P. Musinguzi, E. Ojambo |