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AfPCA Proceedings 2024

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BONGOUA-DEVISME, A
Balota, M
Bayala, T
Bayad, M
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Authors
Bayala, T
Ouattara, I
Visala, A
Malo, S
BONGOUA-DEVISME, 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
Gerrard, B
Ben-Dor, E
Bayad, M
Topics
Applications for UAVs
On-Farm Experimentation
Remote and Proximal Sensing
Type
Oral
Year
2020
2022
2024
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Authors

Filter results4 paper(s) found.

1. Cashew Trees Detection and Yield Analysis using UAV-based Map

In this study we developed a novel method to detect cashew trees in an orthophoto map derived from images collected by an unmanned aerial vehicle (UAV). We also suggest a way in which these detections can be used to analyse the yield of the cashew farm. The proposed method uses images analysis to find the tops of trees, to merge different tops located on the same tree, and to segment individual tree. The segmented trees are used in a deep learning framework to know the exact location of cashew... T. Bayala, I. Ouattara, A. Visala, S. Malo

2. ASSESSMENT OF THE AGRONOMIC EFFECTIVENESS OF DIFFERENT PHOSPHATE AMENDMENT-BASED OF MOROCCO PHOSPHATE ROCK (PR) AND WATER SOLUBLE TRIPLE SUPERPHOSPHATE (TSP) FERTILIZER ON RICE LOWLAND YIELD IN ACIDS SOILS OF WEST AFRICA HUMID ZONE

The purpose of this study was to test the agronomic effectiveness of different types of phosphates amendments based of Morroco phosphate rock (PR) and of triple super phosphate (TSP) on rice yield in acidic soils. Soils which pH were very low to low acidic (pH <6) were selected in three agroecological zones : Man, Gagnoa and Bouaké. The following eight treatments resulting to the combinaison of differents proportions of PR and TSP were implemented on-field before planting rice: Absolute... A. Bongoua-devisme

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

... Y. Kassim

4. High Resolution Mapping of Long-Term Soil Organic Carbon Stocks and Changes in Morocco

Soil organic carbon (SOC) as a major part of the soil organic matter (SOM) is important for soil productivity  stability and climate change mitigation. Current regional SOC maps are not detailed enough and thus, do not support decision-making at farm and landscape and do not track carbon long-term changes. Using large soil dataset, multispectral satellite data, climate data and machine learning , we created a high-resolution  topsoil (0-30cm) map of Morocco and estimated the... B. Gerrard, E. Ben-dor, M. Bayad