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Becker, M

Brou, I.E

Belal, A.B

BENAOUDA, H

Belal, A.A

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Authors

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

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

Decision Support Systems, Software and Mobile Applications

Type

Oral

Poster

Year

2020

2022

2024

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Authors

Filter results5 paper(s) found.
1. 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
2. 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 Download paper
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 Download paper
4. 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
5. 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 Download paper

Filter results5 paper(s) found.

1. 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

2. 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

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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

Download paper

4. 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

5. 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

Download paper