Site suitability assessment for traditional betel vine cultivation and crop acreage expansion in Tamluk Subdivision of Eastern India using AHP-based multi-criteria decision making approach

Hudait, Manas; Patel, Priyank Pravin

doi:10.1016/j.compag.2022.107220

Cited by 6 publications

(5 citation statements)

References 45 publications

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“…Scores were allocated based on the degree of suitability or constraints of the sub-criteria for agricultural application. These were in concordance with similar analyses (Anusha et al 2023;Bandyopadhyay et al 2009;FAO 1976;Grose 1999;Hudait and Patel 2022;Mahato et al 2024;Zolekar and Bhagat 2015).…”

Section: Description Of Criteria Used In Ls Evaluationsupporting

confidence: 91%

“…2) Saaty (2008). We performed a pairwise comparison based on information about altitudes (Allan 1986), slopes (FAO 1976) and soil attributes (FAO 1967;Grose 1999) and the pairwise judgment in similar studies (Hudait and Patel 2022;Mahato et al 2024;Zolekar and Bhagat 2015). The opinions of elderly farmers, especially in hill agriculture, and the authors' intuition during the field observations played a crucial role in pairwise judgment.…”

Section: Analytic Hierarchy Process (Ahp)mentioning

confidence: 99%

“…5). The LS classification system of FAO was employed since it has been adopted by several studies (Hudait and Patel 2022;Kazemi and Akinci 2018;Zolekar and Bhagat 2015). The assignment of different suitability classes was based on Jenk's classification method.…”

Section: Description Of Criteria Used In Ls Evaluationmentioning

confidence: 99%

“…Indigenous knowledge is crucial in agricultural land suitability analysis (Feizizadeha and Blaschkeb 2013), but this method of land evaluation has limitations in the formal land use assessment. LS analyses have been undertaken concerning agroforestry in NEI (Nath et al 2021), paddy cultivation (Mahato et al 2024), vegetable farming (Sarkar et al 2023), betel nut cultivation and crop acreage expansion (Hudait and Patel 2022). Being determined by several factors, LS requires a multicriteria assessment in its approach.…”

Section: Introductionmentioning

confidence: 99%

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Agricultural land suitability analysis in Manipur, India using GIS and AHP

Baite,

Bhattacharjee,

Debbarma

et al. 2024

Auc Geographica

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This article aims to identify potential sites for agricultural use in the state of Manipur of north east India by employing the analytic hierarchy process in a geographic information system environment in conjunction with the use of remote sensing and soil data. Within the analytic hierarchy process, each terrain variable underwent a pairwise comparison and criteria weights were assigned according to their relative importance. Eight variables were selected and used in land suitability analysis for agriculture. It was found that Manipur had 57% (12,660 km2) of its total geographical area suitable for agriculture. However, 8126 km2 (37%) and 1374 km2 (6%) of the total geographical area was currently and permanently unsuitable land respectively. The distribution of suitable land varied greatly, with highly, moderately and marginally suitable land covering only 8%, 16% and 33% respectively of the total geographical area. The highly suitable agricultural land is predominantly concentrated in the Imphal valley (70%), though 90% of moderately suitable and 96% of marginally suitable land also exist in the hills. The hilly areas constitute 96% and 97% respectively of currently unsuitable and permanently unsuitable land in the state. Suitable land comprises of land with low to medium altitude, gentle to moderate slopes, soil of fine or acceptable quality, and with minimal flood risk. Unsuitable lands tend to be diametrically opposite to these attributes with steep hill slopes. The nature of distribution of land suitability types influences the agricultural pattern in Manipur. Agriculture in the hill areas comprises mainly of shifting cultivation on hill slopes, whereas in the valley region it is irrigated and permanent. This analysis of Manipur has a wider applicability since the shifting cultivation-irrigated agriculture combination is similar to that which exists across much of the highlands of South East Asia.

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Section: Description Of Criteria Used In Ls Evaluationsupporting

confidence: 91%

Section: Analytic Hierarchy Process (Ahp)mentioning

confidence: 99%

Section: Description Of Criteria Used In Ls Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Agricultural land suitability analysis in Manipur, India using GIS and AHP

Baite,

Bhattacharjee,

Debbarma

et al. 2024

Auc Geographica

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“…The weights allocated to each criterion were determined by creating a pairwise comparison matrix of the criteria using the AHP approach [85,86]. As shown in Table 10, the most important criteria were hydrogeomorphology, land use and cover, soil erosion, and groundwater recharge, and all of them received the highest weights.…”

Section: Final Prioritization Based On Ahp-topsis Modelmentioning

confidence: 99%

Critical Watershed Prioritization through Multi-Criteria Decision-Making Techniques and Geographical Information System Integration for Watershed Management

Halder,

RoyChowdhury,

Kar

et al. 2024

Sustainability

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The Precambrian hard rock topography of the Manbhum-Singhbhum plateau, which is well known for its semi-arid climates prone to drought, is often seen in Purulia district in West Bengal, India. Despite the district’s middling groundwater capacity, 17 out of 20 blocks have exorbitant fluoride pollution in the groundwater that negatively impacts the health of local residents. Approximately 13% of the whole area suffers from severe erosion. It is evident that the river Kangsabati and its tributaries are not well fed by rainwater and thereby there is always a dearth of ground water. The aim of this study was to identify and prioritize integral watersheds in the Purulia area using Multi-Criteria Decision Making (MCDM) and Geographic Information Systems (GIS). The evaluation was carried out in the Bandu sub-watershed, which contains five micro watersheds: 2A2B5m, 2A2B5k, 2A2B5h, 2A2B5b, and 2A2B5j. The analysis considered five major factors: lithological properties, land use and land cover, soil erosion, groundwater recharge, and hydrogeomorphology. The weights of these criteria were determined by the Analytical Hierarchy Process (AHP) model, which was then prioritized using the Techniques for Order of Preference by Similarity to the Ideal Solution (TOPSIS) technique. This study emphasized an integrated approach to assess watershed hazards and to establish rational conservation goals. The Central Ground Water Board (CGWB) of India report was referred during data analysis. As a result of this study, the 2A2B5k watershed emerged as the most critical due to its susceptibility across the analyzed parameters. This thorough plan demonstrated the usefulness of identifying watershed threads and prioritizing conservation efforts.

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