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Minaleshoa, M

Mahmoud, A.G

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Authors

Minaleshoa, M

Amin, M.E

Abdelfattah, M.A

Mohamed, E.S

Belal, A.A

Nabil, M

Mahmoud, A.G

Topics

Data Mining and Engineering

Precision Planting/Harvesting

Type

Oral

Poster

Year

2020

2022

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Filter results2 paper(s) found.
1. Geo-statistical Prediction of Spatial Distribution of Salt-affected Soils of Meki-Zeway agricultural areas: Actionable baseline information for practical implementation of precision agriculture in similar salinity/sodicity prone areas in Ethiopia Salinity and sodicity-induced soil degradation are major soil property related environmental constraint with severe negative impacts on productivity and sustainability of both rainfed and irrigated agriculture in arid and semi-arid lowlands of Ethiopia. The spatial prediction, data bases creation and preparation of actionable digital soil salinization/sodiciation pattern maps has a special importance to enable site-specific management system leading to the establishment and execution of Digital... M. Minaleshoa Download paper
2. 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

Filter results2 paper(s) found.

1. Geo-statistical Prediction of Spatial Distribution of Salt-affected Soils of Meki-Zeway agricultural areas: Actionable baseline information for practical implementation of precision agriculture in similar salinity/sodicity prone areas in Ethiopia

Salinity and sodicity-induced soil degradation are major soil property related environmental constraint with severe negative impacts on productivity and sustainability of both rainfed and irrigated agriculture in arid and semi-arid lowlands of Ethiopia. The spatial prediction, data bases creation and preparation of actionable digital soil salinization/sodiciation pattern maps has a special importance to enable site-specific management system leading to the establishment and execution of Digital... M. Minaleshoa

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2. 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