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AfPCA Proceedings 2024

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Mary, I.K
Chinwa, H
Balaghi, R
Hegano, A
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Authors
Awosiyan, O.E
Mary, I.K
Adesina, F.A
Mahyou, H
Balaghi, R
Hegano, A
Chinwa, H
Kamutando, C.N
Topics
Mapping and Geostatistics
Decision Support Systems
Climate Smart Agriculture
Type
Poster
Oral
Year
2020
2024
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Filter results4 paper(s) found.

1. DIGITAL MAPPING OF EXCHANGEABLE CATIONS IN SOILS OF SOUTHWESTERN NIGERIA

Soil acidity and low exchangeable cation are the major soil fertility challenges resulting in low crop productivity in Southwest Nigeria. Digital soil mapping is an effective way to achieve precision agriculture. However, most of the research work on soil exchangeable cations as soil information was not geo-referenced, The study created geo-database and developed a digitized map of soil exchangeable cations Indicating the spatial distribution in soils of southwestern Nigeria. Secondary data... O.E. Awosiyan, I.K. Mary, F.A. Adesina

2. Crop monitoring and forecasting system based on cloud data and capabilities

Various systems for crop monitoring & forecasting, using satellite images and meteorological data, exist around the world. Their complexity differs from one system to another, according to the temporal and spatial scale and according to the objectives assigned to them. Among the well known are the European Monitoring Agricultural ResourceS system, the USDA system of the Foreign Agricultural Service, the Moroccan CGMS system, the Belgian CGMS system and the Chinese CropWatch system.  The...

3. Spatial soil loss risk assessment for proper intervention: a case of Neri watershed in Omo Gibe basin, Southwestern Ethiopia

Soil erosion is one of the biggest global environmental problems resulting in both on-site and offsite effects. It contributes negatively to agricultural production, quality of source water for drinking, ecosystem health in land and aquatic environments, and aesthetic value of landscapes. This study was conducted in Neri watershed, part of Omo Gibe basin with area of 465.46 km2. RUSLE model supported by a GIS framework is used to assess the average annual soil loss, and create a soil erosion hazard... A. Hegano

4. Predicting the Distribution of Groundnut Phytopathogens Under Current and Future Climatic Scenarios in Zimbabwe

Groundnut (Arachis hypogaea L.) is an important oil crop with immense nutritional and economic benefits, but its productivity in sub-Saharan Africa (SSA) is threatened by a plethora of phytopathogens such as groundnut rosette virus, Alternaria leafspots, early leafspots and peanut rust. In Zimbabwe, ecological niches and epidemiology of these pathogenic microbial strains, particularly under the current and predicted climate change scenarios, are still poorly understood. Yet, this information... H. Chinwa, C.N. Kamutando