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Open AccessArticle

Kharif Crops Selection for Sustainable Farming Practices in the Rajasthan-India Using Multiple Attribute-Based Decision-Making

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Mechanical Engineering Department, College of Engineering, King Khalid University, Abha 61411, Asir, Saudi Arabia
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Research Center for Advanced Materials Science (RCAMS), King Khalid University, P.O. Box 9004, Abha 61413, Asir, Saudi Arabia
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Department of Civil and Environmental Engineering, The NorthCap University, Gurgaon 122017, Haryana, India
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Department of Geotechnics & Transportation, School of Civil Engineering, Faculty of Engineering, Universiti Tecknologi Malaysia, Johar Bahru 81310, Malaysia
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Department of Mechanical Engineering, Faculty of Engineering, Islamic University of Madinah, Madinah 42351, Saudi Arabia
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Electrical Engineering Department, College of Engineering, King Khalid University, Abha 61411, Asir, Saudi Arabia
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Mechanical Engineering Department, Moradabad Institute of Technology, Moradabad 244001, India
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Author to whom correspondence should be addressed.
Agronomy 2020, 10(4), 536; https://doi.org/10.3390/agronomy10040536
Received: 17 March 2020 / Accepted: 4 April 2020 / Published: 9 April 2020
(This article belongs to the Section Farming Sustainability)
Sustainability of agricultural practices depends on economic, environmental, and social conditions. The Rajasthan state of India has arid climatic conditions where kharif crops are commonly grown. In this work, the four major criteria are considered such as the farm area, crop yield per unit area, the cost prices, and the market sales price. Merged analytic hierarchy process (AHP) and entropy techniques have been employed to give reasonable weight coefficients for the objective and subjective weights to each criterion. Multiple attribute-based decision-making models (MADM) have been developed using three proven techniques, namely the Exprom2, the technique for order of preference by similarity to ideal solution (TOPSIS), and the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). The crop Pennisetum glaucum emerged as the most productive kharif crop in the arid climatic conditions of Rajasthan, India under the given criteria. The sensitivity analysis of the three methods identifies the most significant criteria and validates that Pennisetum glaucum is the first ranked crop despite the interchange of the weights. The methodology used in this study may be applied across the globe to select appropriate crops for maximizing the profit, optimizing the natural resources, and promoting sustainable agricultural practices. This study may be used to enhance the agricultural gross domestic product (GDP) to make the agriculturalists self-sufficient and to help the state policymakers in making effective regional policies. View Full-Text
Keywords: agricultural gross domestic product; arid region crops; farming; kharif crops; sustainable agricultural practices; crop ranking; multi-criteria decision making agricultural gross domestic product; arid region crops; farming; kharif crops; sustainable agricultural practices; crop ranking; multi-criteria decision making
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Tirth, V.; Singh, R.K.; Islam, S.; Badruddin, I.A.; Abdullah, R.A.B.; Algahtani, A.; Mahmoud, E.R.; Arabi, A.; Shukla, N.K.; Gupta, P. Kharif Crops Selection for Sustainable Farming Practices in the Rajasthan-India Using Multiple Attribute-Based Decision-Making. Agronomy 2020, 10, 536.

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