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Biswas T, Majumder A, Dey S, Mandal A, Ray S, Kapoor P, Emam W, Kanthal S, Ishizaka A, Matuka A. Evaluation of management practices in rice-wheat cropping system using multicriteria decision-making methods in conservation agriculture. Sci Rep 2024; 14:8600. [PMID: 38615024 PMCID: PMC11016099 DOI: 10.1038/s41598-024-58022-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 03/25/2024] [Indexed: 04/15/2024] Open
Abstract
In this study, we employed two multiple criteria decision-making (MCDM) methods, namely the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and the Analytic Hierarchic Process (AHP), to determine the best management choice for the cultivation of wheat with a regime of conservation agriculture (CA) practices. By combining alternative tillage approaches, such as reduced tillage and zero tillage, with the quantity of crop residues and fertilizer application, we were able to develop the regime of CA practices. The performance of the regimes compared to the conventional ones was then evaluated using conflicting parameters relating to energy use, economics, agronomy, plant protection, and soil science. TOPSIS assigned a grade to each alternative based on how close it was to the ideal solution and how far away it was from the negative ideal solution. However, employing AHP, we determined the weights of each of the main and sub-parameters used for this study using pairwise comparison. With TOPSIS, we found ZERO1 (0% residue + 100% NPK) followed by ZERO4 (50%residue + 100% NPK), and ZERO2 (100% residue + 50% NPK) were the best performing tillage-based alternatives. To best optimize the performance of wheat crops under various CA regimes, TOPSIS assisted the decision-makers in distinguishing the effects of the parameters on the outcome and identifying the potential for maneuvering the weak links. The outcomes of this investigation could be used to improve management techniques for wheat production with CA practices for upscaling among the farmers.
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Affiliation(s)
- Tufleuddin Biswas
- Department of Agricultural Economics and Statistics, Centurion University of Technology and Management (CUTM), Paralakhemundi, Odisha, 761211, India.
- Department of Agricultural Statistics, Bidhan Chandra Krishi Viswavidyalaya, Mohanpur, West Bengal, 741252, India.
| | - Anurup Majumder
- Department of Agricultural Statistics, Bidhan Chandra Krishi Viswavidyalaya, Mohanpur, West Bengal, 741252, India
| | - Shamik Dey
- School of Agricultural Sciences, JIS University, Kolkata, West Bengal, 700109, India
| | - Anwesha Mandal
- School of Agricultural Sciences, G D Goenka University, Sohna Rural, Haryana, India, 122103
| | - Soumik Ray
- Department of Agricultural Economics and Statistics, Centurion University of Technology and Management (CUTM), Paralakhemundi, Odisha, 761211, India
| | - Promil Kapoor
- Assistant Scientist, Plant Pathology, CCSHAU, Hisar, India, 125004
| | - Walid Emam
- Department of Statistics and Operations Research, Faculty of Science, King Saud University, P.O. Box 2455, 11451, Riyadh, Saudi Arabia
| | - Sahely Kanthal
- School of Agriculture, Swami Vivekananda University, Barrackpure, West Bengal, 700121, India
| | - Alessio Ishizaka
- Department of Supply Chain and Decision Making, NEOMA Business School, Rouen, France, 76130
| | - Adelajda Matuka
- Department of Economics, University of Bologna, 40126, Bologna, Italy
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