2022
DOI: 10.1007/s10668-022-02360-0
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Multi-influencing factor (MIF) and RS–GIS-based determination of agriculture site suitability for achieving sustainable development of Sub-Himalayan region, India

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Cited by 32 publications
(5 citation statements)
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“…To bring sustainability to the livelihood of indigenous women, we have developed and examined a conceptual model of sustainable livelihood in our study. The motive of developing a sustainable livelihood model has been derived from the SDGs of the United Nations (Hamad et al , 2023; Roy et al , 2023). Although SDGs encompass 17 goals of social, economic and environmental aspects, however, in our study, the concept of sustainable livelihood pinpoints the goals of eradicating poverty (SDG-1), ending hunger (SDG-2), decent health and well-being (SDG-3) and achieving gender equality and economic empowerment of women (SDG-5).…”
Section: Literature Review and Hypothesis Developmentmentioning
confidence: 99%
“…To bring sustainability to the livelihood of indigenous women, we have developed and examined a conceptual model of sustainable livelihood in our study. The motive of developing a sustainable livelihood model has been derived from the SDGs of the United Nations (Hamad et al , 2023; Roy et al , 2023). Although SDGs encompass 17 goals of social, economic and environmental aspects, however, in our study, the concept of sustainable livelihood pinpoints the goals of eradicating poverty (SDG-1), ending hunger (SDG-2), decent health and well-being (SDG-3) and achieving gender equality and economic empowerment of women (SDG-5).…”
Section: Literature Review and Hypothesis Developmentmentioning
confidence: 99%
“…GIS enables organizations to assess crop health by utilizing data obtained from satellite imagery, thermal sensors, and multispectral cameras (Olson & Anderson, 2021;Raihan, 2023e;Sultana et al, 2023a). GIS software aids farmers in identifying optimal sites and environmental factors for cultivating various crops (Roy et al, 2023;Sultana et al, 2023b). GIS-based models offer empirically supported approaches to enhance soil quality management (Tsegaye & Bharti, 2021;Raihan, 2023f;Voumik et al, 2022;.…”
Section: Gis In Agriculture and Policy Implicationsmentioning
confidence: 99%
“…This integrated approach facilitates the extraction of valuable information, supports more robust analyses, and enhances the effectiveness of decisionmaking processes in various fields, including agriculture, environmental monitoring, and disaster management. Recent studies by [9,[78][79][80][81] have emphasized the significance of weighted overlay in improving the accuracy and scope of land suitability assessments, highlighting its indispensable role in advancing GIS and remote sensing applications for agricultural and environmental studies.…”
Section: Multi-criteria Decision Making (Mcdm)mentioning
confidence: 99%