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AfPCA Proceedings 2024

Proceedings

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Gachene, C.K
Kitonyo, O
SATO, S
Elsayed , M
Hmimou, M
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Authors
Belal, A
Elsayed , M
Jalhoum, M.E
Abdelatif , M
Hendawy , E
Emam, M
Zahran , M
MORIMOTO, E
LEE, J
NONAMI, K
MATUMURA, I
IKEBE, M
SATO, S
Hmimou, M
Laamrani, A
Sehbaoui, F
Chehbouni, A
Khabba, S
Dhiba, D
Kioko, W
Kioko, W
Kioko, W
Kioko, W
Kitonyo, O
Chemiming'wa, G
Gebeyehu, S
Murori, R
Mongína, D
Gachene, C.K
Kironchi, G
Topics
Adoption of Precision Agriculture
Precision Agriculture for Field and Plantation Crops
Precision Nutrient Management
Water Management for Precision Agriculture
Type
Oral
Poster
Year
2020
2024
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Filter results5 paper(s) found.

1. Precision Farming Technology to Increase Soil and Crop Productivity in Egypt Using Remote Sensing and GIS

Precision farming or site-specific land management is a new approach for development the agriculture processes to increase the soil and crop productivity with saving efforts and costs. Precision farming includes many techniques such as Global Position Systems (GPS), Geographic Information Systems (GIS), Remote Sensing (RS), Yield Monitors, Internet of Things (IOT), Variable Rate Application (VRA), Yield Mapping, Site-Specific Management Zones (SSMZ) and Crop Modeling. SSMZ delineation can be improved... A. Belal, M. Elsayed , M.E. Jalhoum, M. abdelatif , E. Hendawy , M. Emam, M. Zahran

2. 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

3. MAPPING AND ASSESSING AFRICAN SOILS FERTILITY USING HIGH-RESOLUTION REMOTE SENSING AND MACHINE LEARNING APPROACHES: STATE-OF-THE-ART AND PERSPECTIVES

Africa is far from exploiting its true agricultural potential. United Nations Food and Agriculture Organization (FAO) indicates that the continent has 60% of non-cultivated lands worldwide. While soil fertility is well highlighted as one of the major limiting factors, only limited information is available on soil nutrient contents and nutrient availability in the African soils. Soil fertility of agricultural fields is related to many physical and chemical properties, such as texture, organic matter... M. Hmimou, A. Laamrani, F. Sehbaoui, A. Chehbouni, S. Khabba, D. Dhiba

4. Effect of Plant Population and Nitrogen Rate on Growth and Yield of Two Pre-release rice varieties in Kenya

The application of precision agriculture (PA) through the optimization of plant population and management of fertilizer nitrogen (N) can increase rice yield. Current rice (Oryza sativa) plant population and fertilizer nitrogen (N) management guidelines in  Kenya were developed from research conducted about three decades. These management guidelines might still be robust and could be applied to recently released as well as close-to- release varieties. However, the yield potential of... W. Kioko, W. Kioko, W. Kioko, W. Kioko, O. Kitonyo, G. Chemiming'wa, S. Gebeyehu, R. Murori

5. Factors Influencing Farmers’ Decisions on Timing and Application Rates of Irrigation Water in Semi-Arid Regions: A Case-Study of Mwala, Machakos County, Kenya

This study investigates the factors influencing farmers’ decisions on water application in arid and semi-arid regions, where water shortages are prevalent due to low and unreliable rainfall. The research involved interviewing 41 farmers registered under the Equity Group Foundation extension scheme, focusing on their irrigation scheduling techniques, timing, application rates, and other factors such as plant and soil conditions. The study also involved laboratory analysis of soil samples... D. Mongína, C.K. Gachene, G. Kironchi