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AfPCA Proceedings 2024

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Abdelfattah, M.A
Yusufu , F
Kovacs, B
Löytty, T
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Authors
Kulmany, I.M
Vona, V
Vona, M
Szekeres, L
Bede, L
Milics, G
Kovacs, B
Charvat, K
Miderho , C
Obot, A
Löytty, T
Kubickova, H
Amin, M.E
Abdelfattah, M.A
Mohamed, E.S
Belal, A.A
Nabil, M
Mahmoud, A.G
Topics
Adoption of Precision Agriculture
Education and Outreach Innovations
Precision Planting/Harvesting
Type
Poster
Year
2020
2022
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Authors

Filter results3 paper(s) found.

1. Delineation of site-specific management zones based on soil apparent electrical conductivity (ECa) measurement combining traditional soil sampling method

Site-specific management requires the identification of treatment areas based on homogeneous characteristics. The designation of subfield regions is challenging because of complex correlations appearing in spatial variability of soil properties and nutrient concentrations.  The research was conducted on two neighbouring fields (48 ha and 15 ha) in Fejér county, Hungary. Soil ECa mapping was carried out on 22 October, 2019 and soil samples were taken on 15 November, 2019.... I.M. Kulmany, V. Vona, M. Vona, L. Szekeres, L. Bede, G. Milics, B. Kovacs

2. SmartAfriHub for SmartAgriculture capacity buidling in Africa

Digital Innovation Hubs (DIH) are multi-actor ecosystems that support farming communities in their digital transformation by providing a broad variety of services from a one-stop shop. DIHs purpose is to  provide a social space for community of practices;  provide access to digital technologies and competencies; provide access to infrastructure and tests digital innovations (“test before invest”); provide development playground... K. Charvat, C. Miderho , A. Obot, T. Löytty, H. Kubickova

3. 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