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AfPCA Proceedings 2024

Proceedings

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Aidara, O
Aboneh, T
Abban-Baidoo, E
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Authors
Abban-Baidoo, E
Shisanya , C.A
Macharia, A.N
Frimpong, K.A
Marschner, B
Aidara, O
Aboneh, T
Rorissa, P
Topics
Precision Nutrient Management
Precision Agriculture for Field and Plantation Crops
Artificial Intelligence (AI) in Agriculture
Type
Poster
Oral
Year
2020
2024
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Authors

Filter results3 paper(s) found.

1. Biochar and/or Compost for Soil Quality and Maize Yield Improvement in an Acidic Ferralsol Soil in Kenya.

The rapidly increasing global population, climate change and dwindling resources have made it very difficult to meet global food demand. To address the issue of food insecurity, sustainable intensification of agriculture (SIA) has been proposed. However, the consequences of poorly managed agricultural intensification can negatively affect the ecosystem. Biochar and compost application has been widely recommended as a highly promising soil fertility replenishment option to promote sustainable agriculture....

2. USE OF DRONE IN PRECISION AGRICULTURE IN SENEGAL

In Senegal more precisely in the valley of the Senegal River, we have introduced drones for use in precision agriculture. These Drones are used in phytosanitary treatment and fertilizer spreading. Thus we also test in the monitoring of plots, in particular to detect deficiencies in fertilizer, stresses and diseases. We have started with some producers in the treatment of rice plots with post-emergence herbicide and the results have been satisfactory, even going as far as a reduction in the doses... O. Aidara

3. An Ensemble-Based Deep Learning Approach for Early and Accurate Wheat Disease Detection

Crop diseases are the primarily cause for yield loss and a factor for food security issue around the globe. Crop diseases caused by pathogens pose a significant threat to global food security, the challenge become worst particularly in developing countries like Ethiopia. Rapid population growth and accurate disease identification is crucial for timely intervention and minimizing crop losses. However, traditional methods often rely on expert analysis, which can be time-consuming and resource-intensive.... T. Aboneh, P. Rorissa