Optimized Land Use through Integrated Land Suitability and GIS Approach in West El-Minia Governorate, Upper Egypt

Land evaluation is imperative for its efficient use in agriculture. Therefore, this study aimed at assessing the suitability of a region in West El-Minia for cultivating some of the major crops using the geographical information system (GIS). The results focus on allocating space for cultivating sug...

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Autores principales:	Yasser M. Zakarya, Mohamed M. Metwaly, Mohamed A. E. AbdelRahman, Mohamed R. Metwalli, Georgios Koubouris
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	climate change crop rotation geostatistics multiapproach machine learning suitability Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/d6e02603a3d24d349a48ba055b7a67f0
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spelling	oai:doaj.org-article:d6e02603a3d24d349a48ba055b7a67f02021-11-11T19:48:40ZOptimized Land Use through Integrated Land Suitability and GIS Approach in West El-Minia Governorate, Upper Egypt10.3390/su1321122362071-1050https://doaj.org/article/d6e02603a3d24d349a48ba055b7a67f02021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/12236https://doaj.org/toc/2071-1050Land evaluation is imperative for its efficient use in agriculture. Therefore, this study aimed at assessing the suitability of a region in West El-Minia for cultivating some of the major crops using the geographical information system (GIS). The results focus on allocating space for cultivating sugar beet and utilizing the free period of sugar beet in other crops. This exploitation helps to maintain the quality of the land and increase its fertility by using crop rotation with integrated agricultural management. A machine learning technique was implemented using the random forest algorithm (RF) to predict soil suitability classes for sugar beet using geomorphology, terrain attribute and remote sensing data. Fifteen major crops were evaluated using a suitability multicriteria approach in GIS environment for crop rotation decisions. Soil parameters were determined (soil depth, pH, texture, CaCO<sub>3</sub>, drainage, ECe, and slope) to characterize the land units for soil suitability. Soils of the area were found to be Entisols; <i>Typic Torrifluvents</i>, <i>Typic Torripsamments</i> and <i>Typic Torriorthents</i> and Aridsols; <i>Typic Haplocacids</i>, <i>Calcic Haplosalids</i> and <i>Sodic Haplocalcids</i>. Overall, the studied area was classified into four suitability classes: high “S1”, moderate “S2”, marginal “S3”, and not suitable “N”. The area of each suitability class changed depending on the crop tested. The highest two crops that occupied S1 class were barley with 471.5 ha (representing 6.8% of the total study area) and alfalfa with 157.4 ha (2.3%). In addition, barley, sugar beet, and sorghum occupied the highest areas in S2 class with 6415.3 ha (92.5%), 6111.3 ha (88.11%) and 6111.3 ha (88.1%), respectively. Regarding the S3 class, three different crops (sesame, green pepper, and maize) were the most highly represented by 6151.8 ha (88.7%), 6126.3 ha (88.3%), and 6116.7 ha (88.2%), respectively. In the end, potato and beans occupied the highest areas in N class with 6916.9 ha (99.7%) and 6853.5 ha (98.8%), respectively. The results revealed that the integration of GIS and soil suitability system consists of an appropriate approach for the evaluation of suitable crop rotations for optimized land use planning and to prevent soil degradation. The study recommends using crop rotation, as it contributes to soil sustainability and the control of plant pests and diseases, where the succession of agricultural crops on a scientific basis aims at maintaining the balance of nutrients and fertilizers in the soil.Yasser M. ZakaryaMohamed M. MetwalyMohamed A. E. AbdelRahmanMohamed R. MetwalliGeorgios KoubourisMDPI AGarticleclimate changecrop rotationgeostatisticsmultiapproachmachine learningsuitabilityEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12236, p 12236 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	climate change crop rotation geostatistics multiapproach machine learning suitability Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	climate change crop rotation geostatistics multiapproach machine learning suitability Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Yasser M. Zakarya Mohamed M. Metwaly Mohamed A. E. AbdelRahman Mohamed R. Metwalli Georgios Koubouris Optimized Land Use through Integrated Land Suitability and GIS Approach in West El-Minia Governorate, Upper Egypt
description	Land evaluation is imperative for its efficient use in agriculture. Therefore, this study aimed at assessing the suitability of a region in West El-Minia for cultivating some of the major crops using the geographical information system (GIS). The results focus on allocating space for cultivating sugar beet and utilizing the free period of sugar beet in other crops. This exploitation helps to maintain the quality of the land and increase its fertility by using crop rotation with integrated agricultural management. A machine learning technique was implemented using the random forest algorithm (RF) to predict soil suitability classes for sugar beet using geomorphology, terrain attribute and remote sensing data. Fifteen major crops were evaluated using a suitability multicriteria approach in GIS environment for crop rotation decisions. Soil parameters were determined (soil depth, pH, texture, CaCO<sub>3</sub>, drainage, ECe, and slope) to characterize the land units for soil suitability. Soils of the area were found to be Entisols; <i>Typic Torrifluvents</i>, <i>Typic Torripsamments</i> and <i>Typic Torriorthents</i> and Aridsols; <i>Typic Haplocacids</i>, <i>Calcic Haplosalids</i> and <i>Sodic Haplocalcids</i>. Overall, the studied area was classified into four suitability classes: high “S1”, moderate “S2”, marginal “S3”, and not suitable “N”. The area of each suitability class changed depending on the crop tested. The highest two crops that occupied S1 class were barley with 471.5 ha (representing 6.8% of the total study area) and alfalfa with 157.4 ha (2.3%). In addition, barley, sugar beet, and sorghum occupied the highest areas in S2 class with 6415.3 ha (92.5%), 6111.3 ha (88.11%) and 6111.3 ha (88.1%), respectively. Regarding the S3 class, three different crops (sesame, green pepper, and maize) were the most highly represented by 6151.8 ha (88.7%), 6126.3 ha (88.3%), and 6116.7 ha (88.2%), respectively. In the end, potato and beans occupied the highest areas in N class with 6916.9 ha (99.7%) and 6853.5 ha (98.8%), respectively. The results revealed that the integration of GIS and soil suitability system consists of an appropriate approach for the evaluation of suitable crop rotations for optimized land use planning and to prevent soil degradation. The study recommends using crop rotation, as it contributes to soil sustainability and the control of plant pests and diseases, where the succession of agricultural crops on a scientific basis aims at maintaining the balance of nutrients and fertilizers in the soil.
format	article
author	Yasser M. Zakarya Mohamed M. Metwaly Mohamed A. E. AbdelRahman Mohamed R. Metwalli Georgios Koubouris
author_facet	Yasser M. Zakarya Mohamed M. Metwaly Mohamed A. E. AbdelRahman Mohamed R. Metwalli Georgios Koubouris
author_sort	Yasser M. Zakarya
title	Optimized Land Use through Integrated Land Suitability and GIS Approach in West El-Minia Governorate, Upper Egypt
title_short	Optimized Land Use through Integrated Land Suitability and GIS Approach in West El-Minia Governorate, Upper Egypt
title_full	Optimized Land Use through Integrated Land Suitability and GIS Approach in West El-Minia Governorate, Upper Egypt
title_fullStr	Optimized Land Use through Integrated Land Suitability and GIS Approach in West El-Minia Governorate, Upper Egypt
title_full_unstemmed	Optimized Land Use through Integrated Land Suitability and GIS Approach in West El-Minia Governorate, Upper Egypt
title_sort	optimized land use through integrated land suitability and gis approach in west el-minia governorate, upper egypt
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/d6e02603a3d24d349a48ba055b7a67f0
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Optimized Land Use through Integrated Land Suitability and GIS Approach in West El-Minia Governorate, Upper Egypt

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