Agriculture land suitability evaluation for wheat cultivation using geomatics for Patan District, India

Dadhich, Gautam; Patel, Parul; Kalubarme, Manik H.

doi:10.1504/ijarge.2017.084038

Cited by 12 publications

(5 citation statements)

References 15 publications

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“…However, the analysis of this study showed that over three-fourths of the crop's highly suitable highland area lies in the range of gentle to flat slope areas. Studies also confirmed that topography determines the agricultural crops' yields [ 30 , 43 , 44 ]; Zhu et al, 2023). The Eragrostis tef Zucc crop cultivated in temperate and subtropical agro-ecological zones of flat-to-gentle slope areas produced high crop yields compared to high altitude (>2800 m.a.s.l) of steep to very steep slope areas in Dabo Hana district, south-west Ethiopia [ 33 ].…”

Section: Discussionmentioning

confidence: 85%

“…Therefore, the farmers of each sub-district, together with the technical and technological support of the Agricultural and Rural Development office, should produce the recommended cereal crops on the right parcel at the right time. Accordingly, it has also been shown that land degradation in highland areas of the sub-tropical is highly accelerated on parcels of poor land management practices while it is prone to decrease in well-managed areas [ 16 , 44 , 46 , 53 ]. The same pattern has also been highlighted that inapt agricultural land use coupled with land resource destruction leads to inefficient utilization of crop yield, which results in food insecurity in the great Mwea region, Kenya [ 50 ].…”

Section: Discussionmentioning

confidence: 99%

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Modeling Eragrostis tef Zucc and Hordeum vulgare L cropland in response to food insecurity in the Southwestern parts of Ethiopia

Abebe¹,

Deribew²,

Alemu³

et al. 2023

Heliyon

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Section: Discussionmentioning

confidence: 85%

Section: Discussionmentioning

confidence: 99%

Modeling Eragrostis tef Zucc and Hordeum vulgare L cropland in response to food insecurity in the Southwestern parts of Ethiopia

Abebe¹,

Deribew²,

Alemu³

et al. 2023

Heliyon

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“…The AHP method is considered among the best available approaches of MCDA, which was used for assessing and analyzing land-use suitability for different crops [12,[34][35][36][37]. The pairwise comparison matrix was created on the basis of the relative importance of one criterion over another for determining the parameter weights, as per the AHP preference scale (Table 3).…”

Section: Weight Determination Using the Ahp Methods Of Mcdamentioning

confidence: 99%

Crop-Suitability Analysis Using the Analytic Hierarchy Process and Geospatial Techniques for Cereal Production in North India

et al. 2022

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Identification of cropland suitability is obligatory to adapting to the increased food needs driven by population expansion, environmental contamination, and climate change. Given this, the present study was conducted to assess cereal crops’ suitability in India’s Haryana state by integrating Analytic Hierarchy Process (AHP) and geographic information system (GIS) technique. Multiple factors were considered for this study, such as rainfall, temperature, soil texture, drainage density, pH, organic carbon, electrical conductivity, and slope. The AHP technique was utilized to decide the weights of each individual parameter using experts’ opinions. The crop-suitability model was developed using the model builder module in ArcGIS 10.8, and each input parameter was reclassified as per the optimum crop-growth requirement and overlaid utilizing the reclassify tool and weighted overlay analysis. The crop suitability classes were estimated as highly suitable, S1 (6%); moderately suitable, S2 (71%); and marginally suitable, S3 (23%) for the calculated arable land for the wheat crop. Similarly, the crop suitability class of rice S2 (28%); S3 (72%), for sorghum S1 (28%); S2 (71%); S3 (1%), for maize S2 (85%); S3 (15%) and for pearl millet S1 (60%); S2 (40%) were also estimated. The study has observed that, as per the soil physico-chemical characteristics and climate, the area is moderately fertile. Therefore, agricultural production can be improved by cultivating the crop in highly and moderately suitable zones. Diversification of marginally suitable regions for crops other than that for which it is not suitable can be taken up, which will also ensure the income security of marginal farmers.

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“…It influences such important soil properties as soil water availability, infiltration rate, drainage, tillage conditions and capability to retain nutrients [23]. Soil depth is important because it provides insight into the growth of roots and the availability of moisture and air within the root zone [24]. Soil pH is a master variable in soils because it controls many chemical and biochemical processes operating within the soil.…”

Section: Criteria Selection Description and Sourcementioning

confidence: 99%

Mapping Spatial Variability Status of Criteria Influencing Crop-Land Suitability Using Geographic Information System

2024

International Conference Proceedings IASET-24, WCBES-24, IABW2M-24, IEMSSH-24 &Amp; IMESH-24 May 13-15, 2024 Istanbul (Turkiye)

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The assessment of crop-land suitability is crucial for optimizing agriculture productivity and resource allocation. By employing Geographic Information system (GIS), we can effectively analyze and visualize the spatial distribution of various factors that impact crop suitability, such as soil properties, climate conditions, topography and land use patterns. The aim of the study is to investigate the spatial variability status of criteria that influence crop-land suitability through utilization of GIS techniques. The research methodology involves collecting and integrating multi-source data, including soil samples, climate data, digital elevation model and land use land cover. These dataset are processed, analyzed and classified, using the GIS tool to generate spatial layers representing criteria. Each spatial layer was classified, according to FAO guidelines for land evaluation, into four categories of suitability (highly suitable, moderately suitable, marginally suitable and unsuitable) for crop cultivation. By analyzing these layers, we can identify areas with high or low suitability for specific crops, enabling informed decision-making for agriculture planning and management. The result of this study will provide valuable insights into the spatial variability of cropland suitability, allowing land managers and farmers to make informed decisions regarding land use, crop selection and resource allocation. The utilization of GIS techniques in this research enhances our understanding of the complex relationships between various criteria and their spatial distribution, contributing to sustainable and efficient agricultural practice.

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Agriculture land suitability evaluation for wheat cultivation using geomatics for Patan District, India

Abstract: Abstract:Crop land suitability for wheat crop is carried out in the Patan District of North Gujarat, India. There are many factors which affect the land suitability for wheat cultivation like land use, land cover,

Cited by 12 publications

References 15 publications

Modeling Eragrostis tef Zucc and Hordeum vulgare L cropland in response to food insecurity in the Southwestern parts of Ethiopia

Modeling Eragrostis tef Zucc and Hordeum vulgare L cropland in response to food insecurity in the Southwestern parts of Ethiopia

Crop-Suitability Analysis Using the Analytic Hierarchy Process and Geospatial Techniques for Cereal Production in North India

Mapping Spatial Variability Status of Criteria Influencing Crop-Land Suitability Using Geographic Information System

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