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AfPCA Proceedings 2024

Proceedings

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Rorissa, P
Balota, M
BAHRI, H
Bouraqqadi, A
Bonnardel, B
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Authors
Bonnardel, B
Cursoli, G
BARBOUCHI, M
BAHRI, H
SOUISSI, A
CHEIKH M'HAMED, H
ANNABI, M
Bouraqqadi, A
Kassim, Y
Richard Oteng-Frimpong, R
Kanvenaa Puozaa, D
Kofi Sie, E
Abdul Rasheed, M
Abdul Rashid, I
Danquah, A
A. Akogo, D
Rhoads, J
Hoisington, D
D. Burow, M
Balota, M
Aboneh, T
Rorissa, P
Topics
Precision Agriculture for Small Holders
Mapping and Geostatistics
Plenary Session
On-Farm Experimentation
Artificial Intelligence (AI) in Agriculture
Type
Poster
Oral
Year
2020
2022
2024
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Authors

Filter results5 paper(s) found.

1. FARMER CHARLIE: PRECISION AGRICULTURE AT SMALLHOLDER FARMERS’ SERVICE

Preliminary research and an ongoing project in Nigeria showed that agriculture is a crucial activity in the country. It is mainly carried out in small, family-owned farms: in fact, 88% of Nigeria farmers work on less than 0.5 ha. Lack of resources, of readily available information and the impact of climate on agricultural activities lead to low yields and high-cost farm inputs (FAO, 2020). The availability of agricultural data and weather forecast information could play an essential role in improving... B. Bonnardel, G. Cursoli

2. Soil organic carbon mapping in Tunisia: comparison of different interpolation methods

Soil organic carbon (SOC) stock is an important carbon pool in terrestrial ecosystems. It plays an important role in agricultural productivity and is often used as a key indicator of soil quality whether for soil fertility or climate regulation. SOC stocks are difficult to estimate due to the large spatial variability. In this way, many different techniques have been conducted for predicting and mapping SOC content. However, although numerous techniques are in use, there is still debate on which... M. Barbouchi, H. Bahri, A. Souissi, H. Cheikh m'hamed, M. Annabi

3. Precision Agriculture for Sustainable Transformation of Food Systems in Africa

... A. Bouraqqadi

4. Implementing Field-Based High Throughput Plant Phenotyping: The Open Source Way

... Y. Kassim

5. 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