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AfPCA Proceedings 2024

Proceedings

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Becker, M
Brou, I.E
Belal, A.B
BENAOUDA, H
Belal, A.A
Ben-Dor, E
Bonnardel, B
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Authors
Bonnardel, B
Cursoli, G
Belal, A.B
Mohamed, E.S
Jalhoum, M.E
Zahran, M
Abdellatif, M.A
Emam, M.S
Hendway, E.A
Higuti, V.A
Velasquez, A.E
Gasparino, M.V
Magalhães, D.V
Becker, M
Milori, D.M
Aroca, R.V
BENAOUDA, H
MOHSINE, A
KAILIL, A
Amin, M.E
Abdelfattah, M.A
Mohamed, E.S
Belal, A.A
Nabil, M
Mahmoud, A.G
Gerrard, B
Ben-Dor, E
Bayad, M
Toviho, J
Brou, I.E
Kouassi, K
Topics
Precision Agriculture for Small Holders
Robotics, Automation, and Small Farm Mechanization
Applications for UAVs
Precision Planting/Harvesting
Remote and Proximal Sensing
Decision Support Systems, Software and Mobile Applications
Type
Poster
Oral
Year
2020
2022
2024
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Authors

Filter results7 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. Using Site-Specific Management Zones for Potato Crop Management, East Nile Delta, Egypt

The field management zones (MZ) delineated using soil electrical conductivity (EC) and topographic parameters   are the basis for site-specific crop management (SSCM). The objective of this paper was to delineation site-specific management zones of 155 feddans (67.2 ha) of a potato  pivot field at East of Nile Delta, Egypt for use in smart farming based on spatial variability of soil and plant properties, yield  and topographic attributes. The salinity measurement in the field... A.B. Belal, E.S. Mohamed, M.E. Jalhoum, M. zahran, M.A. Abdellatif, M.S. Emam, E.A. Hendway

3. LiDAR-based soybean crop segmentation for autonomous navigation

The technological advances in the last few decades have greatly changed agricultural operations. In order to became safer, more profitable, efficient, and sustainable, modern farms have adopted the use of sophisticated technologies, such as robots, sensors, aerial images, and GNSS (Global Navigation Satellite System). These technologies not only increase the crop productivity, but also reduce the wide use of water, fertilisers, and pesticides. Due to this, they reduce costs and negative environmental... V.A. Higuti, A.E. Velasquez, M.V. Gasparino, D.V. Magalhães, M. Becker, D.M. Milori, R.V. Aroca

4. 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

5. Potato Yield Prediction Using Multi-temporal Sentinel-2 Data and Multiple Linear Regression

Traditional potato growth models have a number of flaws, i.e., the cost of data collection, quality of input data, and the absence of spatial information in some cases. To address these challenges, we created a multiple linear regression model (MLRM) that uses the multi-temporal Sentinel-2 derived indices to predict potato yield. Along the growing season (from October 2019 to February 2020) eight Sentinel-2 imageries were collected, afterwards, the normalized difference vegetation index (NDVI)... M.E. Amin, M.A. Abdelfattah, E.S. Mohamed, A.A. Belal, M. Nabil, A.G. Mahmoud

6. 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

7. Empower Farmers to Sustainably Agricultural Productivity in West Africa: FeSeRWAM, a Digital Advisor for Farmers

Many smallholder farmers in West Africa have a common challenge which is their inability to access the right information on appropriate agricultural inputs and practices to unlock existing potential, make better decisions and get more dividends on their investments. Supported by USAID, Feed the Future "Enhancing Growth through Regional Agricultural Input Systems (EnGRAIS/IFDC) and Partnership for Agricultural Research, Education and Development (PAIRED) have developed and deployed an... J. Toviho, I.E. Brou, K. Kouassi