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AfPCA Proceedings 2024

Proceedings

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Aboneh, T
Abeka, H
Hemissi, I
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Authors
Hachana, A
Hemissi, I
Achour, I
Souissi, A
Sifi, B
Abeka, H
Aboneh, T
Rorissa, P
Topics
Mapping and Geostatistics
Precision Nutrient Management
Artificial Intelligence (AI) in Agriculture
Type
Oral
Year
2020
2022
2024
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Authors

Filter results3 paper(s) found.

1. Some essential nutrients, active limestone and pH status of north and center Tunisian soils.

     Tunisia is a North African country characterized by a Mediterranean climate in the north and Saharan climate in the south part of the country, which resulted in a high geo-morphological diversity of its soils. The last are known by their various fertility status that is affected by abiotic constrains such as salinity, drought, erosion and low organic matter concentration. Thereby, soil fertility is largely linked to geographical position, making fertilization recommendation... A. Hachana, I. Hemissi, I. Achour, A. Souissi, B. Sifi

2. The effectiveness of Neem materials and biochar as nitrification inhibitors in reducing nitrate leaching in a compost-amended Ferric Luvisol

Nitrate produced after mineralization from compost may be prone to leaching especially in Tropical sandy soils, because of increased rate of nitrification and the porous nature of such soils. This may result in low N use efficiency and adverse environmental effects. Inorganic nitrification inhibitors are costly and mostly unavailable in Ghana. The use of simple but effective local materials as nitrification inhibitors is therefore a priority area of research. Two of such materials may be neem... H. Abeka

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