Proceedings :: AfCPA

Download the Conference Proceedings

Get your copy of the 2024 African Conference on Precision Agriculture Proceedings today! Download the PDF file and view all of the available proceedings.

Download Proceedings

Proceedings

Find matching any: Reset

Abdelfattah, M.A

Adekoya, F.J

» Add more authors

Add filter to result:

Authors

Amin, M.E

Abdelfattah, M.A

Mohamed, E.S

Belal, A.A

Nabil, M

Mahmoud, A.G

Adekoya, F.J

Jimoh, S.O

Ogunsola, O.A

Azeez, T.A

Aminu, R.O

Topics

Precision Planting/Harvesting

Adoption of Precision Agriculture

Type

Poster

Oral

Year

2022

Home » Authors » Results

Authors

Filter results2 paper(s) found.
1. 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
2. Farmers’ Perception and Willingness to Adopt Drone Technology in Agriculture The application of drones, Unmanned Aerial Vehicles (UAVs), in agriculture has led to a paradigm shift in farming practices by reducing production costs and increasing operational efficiency and profitability. However, there is a lack of empirical reports on the efficiency and profitability of UAV application to agriculture in Nigeria, limiting the contribution of Nigerian agriculture to the global scientific discourse on drone technology and advancement. This study investigates farmers’... F.J. Adekoya, S.O. Jimoh, O.A. Ogunsola, T.A. Azeez, R.O. Aminu Download paper

Filter results2 paper(s) found.

1. 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

2. Farmers’ Perception and Willingness to Adopt Drone Technology in Agriculture

The application of drones, Unmanned Aerial Vehicles (UAVs), in agriculture has led to a paradigm shift in farming practices by reducing production costs and increasing operational efficiency and profitability. However, there is a lack of empirical reports on the efficiency and profitability of UAV application to agriculture in Nigeria, limiting the contribution of Nigerian agriculture to the global scientific discourse on drone technology and advancement. This study investigates farmers’... F.J. Adekoya, S.O. Jimoh, O.A. Ogunsola, T.A. Azeez, R.O. Aminu

Download paper