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AfPCA Proceedings 2024

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Nyamasoka-Magonziwa, B
Nigussie, A
MOHSINE, A
Mamo , G
Mutsamba-Magwaza, E
Mahyou, H
Majumdar, K
Mechri, M
MATUMURA, I
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Authors
MORIMOTO, E
LEE, J
NONAMI, K
MATUMURA, I
IKEBE, M
SATO, S
Alshihabi, O
Nouiri, I
Mechri, M
Angar, H
Piikki, K
Martinsson, J
Söderström, M
BENAOUDA, H
MOHSINE, A
KAILIL, A
Mahyou, H
Balaghi, R
Nyamasoka-Magonziwa, B
Anberbir, T
Mamo , G
Dabi, A
Topics
Precision Agriculture for Field and Plantation Crops
Decision Support Systems
Applications for UAVs
Proximal and Remote Sensing
Type
Oral
Year
2020
2022
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Authors

Filter results6 paper(s) found.

1. Development of Canopy Mapping System of Asian pears (Pyrus pyrifolia Naka) Using Terrestrial Laser Scanning

In this paper, the canopy mapping system (CMS) of Asian pears for estimating yield during Bud thinning and Pruning operations using point cloud data was proposed. Bud thinning and Pruning in Asian pear (Pyrus pyrifolia Naka) is necessary to ensure quality and yield but is time-consuming and heavily depends on work knowledge. This study described a method of estimating the number of fruits through the length of a branch based on remote sensing. The CMS would be useful to support more efficient... E. Morimoto, J. Lee, K. Nonami, I. Matumura, M. Ikebe, S. Sato

2. CropSAT – opportunities for applications in precision agriculture in Africa

The present paper aims at describing the CropSAT system, a Sentinel-2-based interactive decision support system (DSS) that provides vegetation index (VI) maps free-of-charge all across the globe for different applications in precision agriculture. We summarize research results from the ongoing developmental process and pointing to opportunities for development and application in precision agriculture in Africa. The DSS was initially developed in a research project at the Swedish University of... O. Alshihabi, I. Nouiri, M. Mechri, H. Angar, K. Piikki, J. Martinsson, M. Söderström

3. Autonomous Hexacopter Spraying drones for plants protection

Abbes KAILIL1, Hassan BENAOUDA2, Abdelhakim MOHCINE3, 1 Eng. Doctor in aerospace engineering, Moroccan Industry Services & Engineering SARL, Morocco. 2 Eng. Doctor in Agriculture, INRA, Morocco. 3 Engineer in agriculture, ONCA, Morocco.   Farming technologies have considerably... H. Benaouda, A. Mohsine, A. Kailil

4. Crop monitoring and forecasting system based on cloud data and capabilities

Various systems for crop monitoring & forecasting, using satellite images and meteorological data, exist around the world. Their complexity differs from one system to another, according to the temporal and spatial scale and according to the objectives assigned to them. Among the well known are the European Monitoring Agricultural ResourceS system, the USDA system of the Foreign Agricultural Service, the Moroccan CGMS system, the Belgian CGMS system and the Chinese CropWatch system.  The...

5. Development, validation and dissemination of a soil tool kit for site specific soil health assessment

Smallholder farmers, extension and partners in agricultural development have limited access to analytical laboratories due to high costs and remote locations. Yet, it is very important to assess soil health and provide farmers with context specific options to increase crop yields and soil fertility. The goal of the project was to develop, validate and disseminate a soil tool kit that that uses minimum reagents to provide site-specific soil quality measures in/near field to inform farmer decisions... B. Nyamasoka-magonziwa

6. Unmanned Aerial Vehicles (UAVs) for Phenotypic Traits Estimation & Yellow Rust Disease Severity Assessment in Small-scale Wheat Breeding Trials in Ethiopia

Remote Sensing (RS) platforms; like the Unmanned Aerial Vehicles (UAVs) are recently gaining traction in agricultural data collection systems and used for various phenotyping of breeding field trials and capturing different biophysical, biochemical and sanitary traits which can be used to predict and explain the resulting yield and selecting better verities. Compared to the conventional phenotyping usually done by visual scoring and manual measurements which is time consuming/back breakings, susceptible... T. Anberbir, G. Mamo , A. Dabi