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AfPCA Proceedings 2024

Proceedings

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Rorissa, P
Boulal, H
Rhodes, C
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Authors
Larbi, A
Boulal, H
El Arbi, H
Ben Hamouda, W
Rhodes, C
Rhodes, C
Aboneh, T
Rorissa, P
Topics
Precision Nutrient Management
Keynote
Plenary Session
Artificial Intelligence (AI) in Agriculture
Type
Oral
Year
2020
2022
2024
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Authors

Filter results4 paper(s) found.

1. Analysis, design and development of a web and mobile application for fertilizer olive orchards recommendations

Farmer’s fertilization practices (FFP) in olive intensive or super intensive orchards must be improved to a better control of fertilization costs, to increase olive yielding, to maintain soil fertility and to avoid environment pollution. Indeed, a large category of fertilizer users apply fertilizers arbitrary (66%) without any knowledge about the adequate nutrient requirements of a such planting system. To improve the FFP in intensive and super intensive olive orchards, and in the frame... A. Larbi, H. Boulal, H. El Arbi, W. Ben Hamouda

2. Keynote 6 - Farmer-led design and knowledge sharing: Empowering smallholders to maximize impact

Producers Direct is an international non-profit led by smallholder farmers for smallholder farmers. With over a decade of experience in farmer-led design and experimentation, Producers Direct has piloted and scaled a number of in-person and digital solutions that have improved the livelihoods for over 1 million small-scale farmers across East Africa and Latin America to-date. International recognition for our work has included UK Google Impact Challenge winner; World Bank Collaborative Data... C. Rhodes

3. Farmer-led Approaches to Digital Innovation

Digital agricultural innovation has significant potential to transform the ability of smallholder farmers to engage with and benefit fro precision agriculture. Despite this, the benefits of digital agricultural technologies remain largely inaccessible to most of these smallholder farmers. This presentation will share updates and lessons learnt from Producers Direct’s experiences in designing and scaling farmer-led approaches to digital agricultural innovation.  ... C. Rhodes

4. 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