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1. Assessment of Performance of APSIM Model with Experimental Data from the Short-term Biochar Experiment at Guinea Savanna Zone (Nyankpala), GhanaA three-year season, short-term study (2017–2019) was conducted at farming for the future UDS-Nyankpala, near Tamale in the Guinea Savannah Zone of Ghana. It was done to assess the effect of five different sources of biochar applications on rice-cowpea intercrop system on soil nutrient status and upland rice productivity. The experimental treatments comprised a control, 5 t/ha rates of high and low pyrolysis (400-7000C) of biochar. Five different sources of biochar (groundnut... |
2. Integrating Models and Data to Observe the Effect of Biochar Used in a Rice-Cowpea Intercrop System on Soil Hydrological PropertiesPhysical properties of biochar like small particle size are highly porous and can modify soil properties and help to enhance soil water dynamics. However, there has been no consistent long-term measurements of change in soil physical properties due to biochar application under real field conditions. The objective was to assess the impact of biochar use in a rice-cowpea intercrop system on soil hydraulic properties at the field by integrating a modeling with soil water content measurements in two... |
3. Simulate Plant Growth Response to Biochar applications on upland rice-cowpea intercrop and Inorganic N and P on a Ferric luvisols Soil in GhanaFive different sources of biochar (groundnut shells, rice husk, poultry manure, sawdust, and corn cobs) at a rate of 5t/ha were incorporated into the soil at a depth of 30 cm during field experiments in Nyankpala in Ghana. A split plot factorial design arranged in a randomized complete block with 4 replications was used. The uniqueness of the studies was that cowpea and inorganic fertilizer treatments were added to aid upland rice-cowpea N and P content of the biochar. These studies provide a... |
4. Geo-statistical Prediction of Spatial Distribution of Salt-affected Soils of Meki-Zeway agricultural areas: Actionable baseline information for practical implementation of precision agriculture in similar salinity/sodicity prone areas in EthiopiaSalinity and sodicity-induced soil degradation are major soil property related environmental constraint with severe negative impacts on productivity and sustainability of both rainfed and irrigated agriculture in arid and semi-arid lowlands of Ethiopia. The spatial prediction, data bases creation and preparation of actionable digital soil salinization/sodiciation pattern maps has a special importance to enable site-specific management system leading to the establishment and execution of Digital... M. Minaleshoa |
5. Tropical Precision Agriculture: the Brazilian ExperienceSoils with limited natural fertility and high dependence on imported fertilizers, in addition to intense natural spatial variability, are factors that made Precision Agriculture (PA) develop in Brazil. More than 20 years of academic and business experience have been accumulated, with intense consulting services with business models adapted to local conditions, involving small, medium and large rural properties. Innovations and challenges are still needed in the field of soil fertility management,... J. Molin |
6. 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 |