Crop and soil suitability analysis using multi-criteria decision making in drought-prone semi-arid tropics in India

Jain, Rajni; Chand, Pooran; Rao, Sulakshna C.; Agarwal, Priyanka

doi:10.5958/2455-7145.2020.00036.3

Cited by 16 publications

(9 citation statements)

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“…Five dimensions namely road density, market concentration, extension system, credit and storage https://doi.org/10.56093/ijas.v91i7.115117 infrastructure are explored to determine the agricultural infrastructural adequacy index based on authentic data sources (Census of India 2011, GoI 2019, ICAR 2019, Indiastat 2019). The basic idea of agricultural infrastructural adequacy revolves around matching the availability with the requirements and classifies adequacy into four classes namely S1, S2, S3 and N and is adapted from crop suitability classes (Jain et al 2020). Further, it requires converting qualitative data into suitable quantitative score.…”

Section: Methodsmentioning

confidence: 99%

Determination of agricultural infrastructural suitability in aspirational districts: A case study of Bundelkhand

Jain¹,

Chand²,

Agarwal³

et al. 2021

Indian J Agri Sci

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Agricultural infrastructure has the potential to transform subsistence farming into commercial and dynamic farming system. Adequate markets, roads, irrigation, extension services, credit facilities, storage etc. facilitate lowering of farming costs and increase in farm income. The study, carried out during 2017-20 at ICAR-NIAP, presents methodology for measuring adequacy status of rural infrastructure and its categorisation into five classes using a case study of Bundelkhand region.The results show that there is ample scope for agricultural productivity enhancement in Bundelkhand by focussing on agricultural markets, credit institutions, roads, agricultural extension and storage infrastructure.The proposed methodology can be replicated for other regions, states and districts.

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Section: Methodsmentioning

confidence: 99%

Determination of agricultural infrastructural suitability in aspirational districts: A case study of Bundelkhand

Jain¹,

Chand²,

Agarwal³

et al. 2021

Indian J Agri Sci

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“…Yohannes and Soromessa (2018) used soil parameters , (depth, soil texture, soil drainage pH, EC, CEC, carbonate, OM, total nitrogen, available phosphorus) along with temperature, rainfall, slope, aspect, altitude, erosion hazard, distance from road, river distance and LULC for cropland suitability assessment of wheat and barley using ANP technique whereas, Fekadu and Negese (2020) used soil parameters (texture, depth, BD, pH, OC,NP,CEC,PBS), temperature, rainfall, slope, elevation, AWC using AHP technique in Ethiopia. Jain et al (2020) used temperature, rainfall, relative humidity, length of the growing period, soil texture, soil depth, pH, EC, OC, slope, net returns per ha, market concentration and road density for different crops for cropland suitability evaluation using AHP technique in the Bundelkhand region, India. The different researchers used different parameters, tools and techniques to address the suitability (Table 1).…”

Section: Identification Of Criteria For Cropland Suitabilitymentioning

confidence: 99%

“…Kumar et al (2021) analyzed cotton yield in Haryana and reported that phosphorus addition increased the yield but simultaneously increased cost of cultivation. Some researchers used either the MCE technique (Gautam et al 2017, Jain et al 2020 or the geospatial technique (Dhami et al 2012, Ranjan et al 2018, and they found that handling weights of parameters are indigent or insufficient in determining the crop suitability index. Hence, the integrated approach of MCE and geospatial techniques in cropland suitability assessment has great potential to increase the accuracy and effectiveness of the results (Chivasa et al 2019, Ramamurthy et al 2020.…”

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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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“…A related strand of research includes the geospatial assessments of the suitability of growing conditions for 1 See for instance the research on low levels of agricultural input use (Sheahan & Barrett, 2017), intra-and inter-household gender differences in levels of and returns to agricultural inputs (Aguilar et al 2015;Kilic et al, 2015;Oseni et al 2015;Slavchevska, 2015;Udry, 1996), imperfections in land and labor markets (Deininger et al, 2017;Dillon & Barrett, 2017;Palacios-Lopez & Lopez, 2015), and impacts of extreme weather events on agriculture (McCarthy et al, 2021;Michler et al, 2019;Wineman et al, 2017). 2 One notable exception is the work of Jain et al (2020) who employ a holistic model of soil suitability in India, including socio-economic factors.…”

Section: Introductionmentioning

confidence: 99%

Is dirt cheap? The economic costs of failing to meet soil health requirements on smallholder farms

Gourlay,

Kilic

2023

Agricultural Economics

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Agricultural productivity is hindered in smallholder farming systems due to several factors, including farmers’ inability to meet crop‐specific soil requirements. This article focuses on soil suitability for maize production and creates multidimensional soil suitability profiles of smallholder maize plots in Uganda while quantifying forgone production due to cultivation on less‐than‐suitable land and identifying groups of farmers that are disproportionately impacted. The analysis leverages the unique socioeconomic data from a subnational survey conducted in Eastern Uganda, inclusive of plot‐level, objective measures of maize yields and soil attributes. Stochastic frontier models of maize yields are estimated within each soil suitability class to understand differences in returns to inputs, technical efficiency, and potential yield. Farmers cultivating highly suitable soil have the potential to increase their observed yields by as much as 86%, while those at the opposite end of the suitability distribution (i.e., with marginally suitable land) operate closer to the production frontier and can only increase yields by up to 59%, given the current technology set. There is heterogeneity in potential gains across the wealth distribution, with poorer households facing more heavily constrained potential.

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Crop and soil suitability analysis using multi-criteria decision making in drought-prone semi-arid tropics in India

Cited by 16 publications

References 0 publications

Determination of agricultural infrastructural suitability in aspirational districts: A case study of Bundelkhand

Determination of agricultural infrastructural suitability in aspirational districts: A case study of Bundelkhand

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

Is dirt cheap? The economic costs of failing to meet soil health requirements on smallholder farms

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