Crop Suitability Analysis for Cereal Crops of Uttar Pradesh, India

Singh, Pragati; Upadhyay, R. K.; Bhatt, Hiren; Oza, M. P.; Vyas, S. P.

doi:10.5194/isprs-archives-xlii-5-353-2018

Cited by 5 publications

(6 citation statements)

References 2 publications

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“…Slope. Slope is a crucial aspect of agriculture (Jamil et al, 2018;Singh et al, 2018). The slope has a direct impact on soil depth, erosion, and irrigation, among other things (Everest et al, 2020).…”

Section: Parametersmentioning

confidence: 99%

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Crop-land suitability analysis using geographic information system and remote sensing

Penki¹,

Santosh²,

Chalapathi³

2022

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Food, water, and energy scarcity threaten India's future, and they must be addressed first. To meet the country's ever-increasing population needs, agricultural productivity must be expanded. For the crop-land suitability, we have studied an area of about 6,539 km2 in Vizianagaram district. The majority of the land is used for paddy agriculture (Kharif). The crop-land suitability has been evaluated based on the different parameters identified in that study area. “Remote sensing (RS)” and “geographic information system (GIS)” were combined for the crop-land suitability using nine parameters. The slope, elevation, rainfall, soil texture, lithology, groundwater, land use–land cover (LULC), TWI, and land surface temperature are the primary criteria used to determine the crop-land suitability in the Vizianagaram district (AP). Thematic maps were created using Landsat 8 images and SRTM DEM images from USGS Earth Explorer. Based on these maps and the influence of these parameters, we may assign weights to the parameters and then rank them, the Analytic Hierarchy Process (AHP) allowing us to identify which area is more suitable for good crop productivity and which is not. In this study, the soils are divided into four categories: low suitability, moderate suitability, high suitability, and extremely high suitability. The suitability index is found to be in the range of 0–55.2%, which indicates the lack of outstanding agricultural lands in the sudy region.

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Section: Parametersmentioning

confidence: 99%

“…Rainfall. Rainfall has a substantial influence on the soil (Singh et al, 2018). If the soil is too wet, nutrients may wash off and not reach the plant's roots, as a result, growth and general health suffer (Everest et al, 2020).…”

Section: Parametersmentioning

confidence: 99%

Crop-land suitability analysis using geographic information system and remote sensing

Penki¹,

Santosh²,

Chalapathi³

2022

Progress

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“…The parameters undertaken to evaluate the land suitability for crop production includes soil reaction (pH), electrical conductivity (ECe), organic carbon (OC), soil texture, soil drainage, temperature, rainfall, slope and land use/land cover (Table 2) based on a relevant literature review [28][29][30][31][32][33].…”

Section: Data Usedmentioning

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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“…The combined approach can be used for developing crop suitability models as per the optimum crop growth requirements in terms of input parameters of specific crop (Otgonbayar et al 2017) (Fig 1). The integrated approach of MCE and geospatial techniques have excellent potential to find suitable land for crops that save resources, time, money and provide valuable information to farmers and policymakers to reduce costs and increase production (Singh et al 2018).…”

Section: Integration Of Mce and Geospatial Techniquesmentioning

confidence: 99%

Cropland suitability assessment using multi criteria evaluation techniques and geo-spatial technology: A review

et al. 2022

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Cropland suitability assessment is an essential technique for agricultural development and future planning. It is an evaluation to determine how suitable the land is for growing a specific crop in a particular region based on multiple parameters like soil, climate, topography, socio-economic condition, infrastructure, irrigation, existing land use/land cover and environmental aspects. The paper presents different multi-criteria evaluation (MCE) techniques such as Analytical Hierarchy Process (AHP), Fuzzy Analytical Hierarchy Process (FAHP), Analytic Network Process (ANP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and ELimination Et Choice Translating REality (ELECTRE) approaches integrated with geospatial technology, namely remote sensing and Geographical Information System for cropland suitability assessment. Review findings indicate that the AHP technique was used by53% of the researchers, followed by FAHP (16%); ANP (6%); TOPSIS (6%); ELECTRE (3%) and other techniques (16%) with or without geospatial technology. The integrated approach of MCE with geospatial was used by 69%, among which AHP technique of MCE was used by 72%; whereas, 22% used geospatial and 9% used MCE techniques alone. The results from the selected research articles also indicated that the most important input parameters were soil, topography and climate used by 97%, 88% and 74% of the researchers, respectively. The review can be helpful for researchers and decision-makers to select the most robust methods and standard parameters required for cropland suitability assessment to achieve higher agricultural production on a sustained basis.

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Crop Suitability Analysis for Cereal Crops of Uttar Pradesh, India

Cited by 5 publications

References 2 publications

Crop-land suitability analysis using geographic information system and remote sensing

Crop-land suitability analysis using geographic information system and remote sensing

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

Cropland suitability assessment using multi criteria evaluation techniques and geo-spatial technology: A review

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