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Mohamed , E.A

Sawsen, A

Shaddad, S

Saleh, A

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Authors

El-Shirbeny, M

Mohamed , E.A

Belal , A.A

Zahran, M.A

Aboelkhier, H

Nasrallah, A

Shaddad, S

Buttafuoco, G

Saleh, A

Boughattas, N

Marwa, K

Mohamed, Z

Sawsen, A

Soumaya, A

Hafedh, H

Imen, H

Youssef, T

Topics

Precision Water Management

Precision Nutrient Management

Software and Mobile Applications

Precision Nutrient Management

Type

Poster

Oral

Year

2020

2022

2024

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Filter results4 paper(s) found.
1. Irrigation Water Management for Potato crop under Pivot Irrigation System using Remote sensing techniques When water application records low efficiency, the water losses increased. Irrigation systems often ignore soil variability and water applied uniformly on the field; hence, the water losses amplified. Which means more water application, more energy demand, and more money expenses. El-Salhia region contains a big agricultural farm located at the South Eastern of Nile delta. The field NO 34 was chosen to be investigated under the pivot central sprinkler irrigation system which cultivated with...
2. A geostatistical approach to define a soil fertility index based on the main soil macronutrients Soil fertility is greatly affected by main soil macronutrients such as nitrogen (N), phosphorus (P), and potassium (K). These macronutrients can be used to define a synthetic fertility index to support soil fertilization. The study was aimed to propose a geostatistical approach to define a synthetic fertility index based on factorial cokriging. It consists in quantifying and reducing the spatial variability of multivariate data to only a few factors, related to different spatial scales. Such factors... H. Aboelkhier, A. Nasrallah, S. Shaddad, G. Buttafuoco Download paper
3. Sqat: a Python Package for Soil Quality Assessment Soil quality Assessment Tool (sqat) is an open-source python programming language package for researchers to facilitate carrying out soil quality assessment. The package provides the necessary modules required for soil and terrain indicators scoring and quality indexing. The package developed using Python programming language which currently is widely used for numerical problem solving and scientific data analyses. The package developed under the open-source principal where the programming code... A. Saleh
4. Optimizing Durum Wheat Nitrogen Nutrition Index (NNI) Prediction Through Sentinel-2 Vegetation Index Integration Nitrogen is crucial for durum wheat growth and productivity, but excess or insufficient levels can harm both the environment and farmers' finances. Remote sensing offers rapid, cost-effective, and nondestructive ways to assess crop nutrition, with vegetation indices (VIs) indicating plant health. This study aims to enhance the accuracy of durum wheat nitrogen status prediction by investigating modified formulations of Nitrogen Nutrition Index (NNI) coupled with various vegetation indices (VIs),... N. Boughattas, K. Marwa, Z. Mohamed, A. Sawsen, A. Soumaya, H. Hafedh, H. Imen, T. Youssef Download paper

Filter results4 paper(s) found.

1. Irrigation Water Management for Potato crop under Pivot Irrigation System using Remote sensing techniques

When water application records low efficiency, the water losses increased. Irrigation systems often ignore soil variability and water applied uniformly on the field; hence, the water losses amplified. Which means more water application, more energy demand, and more money expenses. El-Salhia region contains a big agricultural farm located at the South Eastern of Nile delta. The field NO 34 was chosen to be investigated under the pivot central sprinkler irrigation system which cultivated with...

2. A geostatistical approach to define a soil fertility index based on the main soil macronutrients

Soil fertility is greatly affected by main soil macronutrients such as nitrogen (N), phosphorus (P), and potassium (K). These macronutrients can be used to define a synthetic fertility index to support soil fertilization. The study was aimed to propose a geostatistical approach to define a synthetic fertility index based on factorial cokriging. It consists in quantifying and reducing the spatial variability of multivariate data to only a few factors, related to different spatial scales. Such factors... H. Aboelkhier, A. Nasrallah, S. Shaddad, G. Buttafuoco

Download paper

3. Sqat: a Python Package for Soil Quality Assessment

Soil quality Assessment Tool (sqat) is an open-source python programming language package for researchers to facilitate carrying out soil quality assessment. The package provides the necessary modules required for soil and terrain indicators scoring and quality indexing. The package developed using Python programming language which currently is widely used for numerical problem solving and scientific data analyses. The package developed under the open-source principal where the programming code... A. Saleh

4. Optimizing Durum Wheat Nitrogen Nutrition Index (NNI) Prediction Through Sentinel-2 Vegetation Index Integration

Nitrogen is crucial for durum wheat growth and productivity, but excess or insufficient levels can harm both the environment and farmers' finances. Remote sensing offers rapid, cost-effective, and nondestructive ways to assess crop nutrition, with vegetation indices (VIs) indicating plant health. This study aims to enhance the accuracy of durum wheat nitrogen status prediction by investigating modified formulations of Nitrogen Nutrition Index (NNI) coupled with various vegetation indices (VIs),... N. Boughattas, K. Marwa, Z. Mohamed, A. Sawsen, A. Soumaya, H. Hafedh, H. Imen, T. Youssef

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