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Hemacho, A.H

Metwaly, M.M

Abail, Z

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Authors

Abdellatif, B

Metwalli, M.R

Metwaly, M.M

AbdelRahman, M.A

Hemacho, A.H

Abail, Z

Benaouda, H

Chikhaoui, M

Benyahia, H

Iben Halima, O

Baraka, M

Douaik, A

Iaaich, H

Zouahri, A

Omari, F

Topics

Climate Smart Agriculture

Mapping and Geostatistics

Precision Nutrient Management

Type

Oral

Poster

Year

2022

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Authors

Filter results3 paper(s) found.
1. A Time Series Investigation to Assess Climate Change and Anthropogenic Impacts on the Degradation of Nile Delta, Egypt. Land degradation risk, status and rate in Nile Delta, Egypt were assessed for a time series using remote sensing data over the past five decades using TM, ETM and OLI. Quantitative deterioration of the area was produced based on the comparative study approach in the integrated weighted sum, weighted overlay and fuzzy model. Where degradation factors were compiled in a raster and each data set scored on a 1 to 5 (very low, low, moderate, high and very high scale). The data sets were then weighted... B. Abdellatif, M.R. Metwalli, M.M. Metwaly, M.A. Abdelrahman
2. Mapping the Spatial Variability, Status and Magnitude of Soil Acidity in Semen Ari District of South Omo, Southwestern Ethiopia Soil acidity is one of the major constraints to cropping systems in the vast highlands of Ethiopia. A common strategy for ameliorating soil acidity is the application of agricultural lime. However, formulation of measurement strategy was hampered by the lack of information on magnitude, extent and status of soil acidity and, high resolution soil acidity map. Therefore, this study was investigated to assess the magnitude and status of soil acidity, map its spatial variability in Semen... A.H. Hemacho
3. Assessment of Nitrogen and Phosphorus Content (NP) in Citrus Trees Using UAV-imagery Derived Vegetation Indices and Machine Learning Algorithms Monitoring nutrient status of citrus trees is fundamental to ensure optimum fruit yield and quality. However, this task is traditionally time-consuming and laborious. Unmanned Aerial Vehicles (UAVs), with their high temporal and spatial resolution imagery, are demonstrating a great potential to substitute traditional methods in assessing nutrient status of several crops, including citrus. In this study, we evaluated the performance of vegetation indices (VIs) derived from UAV multispectral images... Z. Abail, H. Benaouda, M. Chikhaoui, H. Benyahia, O. Iben halima, M. Baraka, A. Douaik, H. Iaaich, A. Zouahri, F. Omari

Filter results3 paper(s) found.

1. A Time Series Investigation to Assess Climate Change and Anthropogenic Impacts on the Degradation of Nile Delta, Egypt.

Land degradation risk, status and rate in Nile Delta, Egypt were assessed for a time series using remote sensing data over the past five decades using TM, ETM and OLI. Quantitative deterioration of the area was produced based on the comparative study approach in the integrated weighted sum, weighted overlay and fuzzy model. Where degradation factors were compiled in a raster and each data set scored on a 1 to 5 (very low, low, moderate, high and very high scale). The data sets were then weighted... B. Abdellatif, M.R. Metwalli, M.M. Metwaly, M.A. Abdelrahman

2. Mapping the Spatial Variability, Status and Magnitude of Soil Acidity in Semen Ari District of South Omo, Southwestern Ethiopia

Soil acidity is one of the major constraints to cropping systems in the vast highlands of Ethiopia. A common strategy for ameliorating soil acidity is the application of agricultural lime. However, formulation of measurement strategy was hampered by the lack of information on magnitude, extent and status of soil acidity and, high resolution soil acidity map. Therefore, this study was investigated to assess the magnitude and status of soil acidity, map its spatial variability in Semen... A.H. Hemacho

3. Assessment of Nitrogen and Phosphorus Content (NP) in Citrus Trees Using UAV-imagery Derived Vegetation Indices and Machine Learning Algorithms

Monitoring nutrient status of citrus trees is fundamental to ensure optimum fruit yield and quality. However, this task is traditionally time-consuming and laborious. Unmanned Aerial Vehicles (UAVs), with their high temporal and spatial resolution imagery, are demonstrating a great potential to substitute traditional methods in assessing nutrient status of several crops, including citrus. In this study, we evaluated the performance of vegetation indices (VIs) derived from UAV multispectral images... Z. Abail, H. Benaouda, M. Chikhaoui, H. Benyahia, O. Iben halima, M. Baraka, A. Douaik, H. Iaaich, A. Zouahri, F. Omari