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Abera, T

Amin, M.E

Asante, B

Arafat, S.M

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Authors

AbdelRahman, M.A

Saleh, A.M

El Sharkawy, M.M

Farg, E

Arafat, S.M

Abera, T

Amin, M.E

Abdelfattah, M.A

Mohamed, E.S

Belal, A.A

Nabil, M

Mahmoud, A.G

Asante, B

Topics

Mapping and Geostatistics

Precision Planting/Harvesting

Precision Water Management

Type

Oral

Poster

Year

2020

2022

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Authors

Filter results4 paper(s) found.
1. Spatial Interpolation for Mapping Hydraulic Soil Properties in GIS Environment Soil water information is an essential input for environmental, hydrological or land surface models. There is a need for reliable soil water information with current coverage in the area. A number of 60 soil profiles data were evaluated for the performance of estimates inverse distance weighting to map some of the soil quality properties. soil profiles were used for the application of geostatistics. Maps with the investigated coverage were produced with the soil information available about soil... M.A. Abdelrahman, A.M. Saleh, M.M. El sharkawy, E. Farg, S.M. Arafat
2. Sensor Based In-Season Nitrogen Determination for Quality Protein Maize on Farmers Field Western Ethiopia Quality protein maize production is a current common practice and widely produced in western Ethiopia but its productivity is negatively affected by low rate and time of nitrogen application but there is still inadequate research on this phenomenon in quality protein maize production. This in view different attempts have been made to solve the soil fertility problems using sensor-based nitrogen management in southwestern and western Ethiopia. The objectives of this review were to summarize past... T. Abera
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
4. Spatial-Temporal Assessment of Drought in the Northern Region, Ghana ... B. Asante

Filter results4 paper(s) found.

1. Spatial Interpolation for Mapping Hydraulic Soil Properties in GIS Environment

Soil water information is an essential input for environmental, hydrological or land surface models. There is a need for reliable soil water information with current coverage in the area. A number of 60 soil profiles data were evaluated for the performance of estimates inverse distance weighting to map some of the soil quality properties. soil profiles were used for the application of geostatistics. Maps with the investigated coverage were produced with the soil information available about soil... M.A. Abdelrahman, A.M. Saleh, M.M. El sharkawy, E. Farg, S.M. Arafat

2. Sensor Based In-Season Nitrogen Determination for Quality Protein Maize on Farmers Field Western Ethiopia

Quality protein maize production is a current common practice and widely produced in western Ethiopia but its productivity is negatively affected by low rate and time of nitrogen application but there is still inadequate research on this phenomenon in quality protein maize production. This in view different attempts have been made to solve the soil fertility problems using sensor-based nitrogen management in southwestern and western Ethiopia. The objectives of this review were to summarize past... T. Abera

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

4. Spatial-Temporal Assessment of Drought in the Northern Region, Ghana

... B. Asante