Intercropping System Optimization Using Python-Based Goal and Fuzzy Goal Programming

This study employs fuzzy goal programming (FGP) and goal programming (GP) approach to plan the production of sorghum–Bengal gram–sunflower intercropping in the Northern Dry Zone of Karnataka. In this research, seven goals were established, increasing the annual revenue from sorghum–Bengal gram–sunfl...

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Bibliographic Details
Published in:SN computer science 2024-12, Vol.5 (8), p.1120, Article 1120
Main Authors: Veena, K., Pushpa, C. N., Thriveni, J., Venugopal, K. R.
Format: Article
Language:English
Subjects:
Advances in Computational Approaches for Image Processing
Agricultural production
Agriculture
Cloud Applications and Network Security
Computer Imaging
Computer Science
Computer Systems Organization and Communication Networks
Crops
Data Structures and Information Theory
Decision making
Farmers
Farms
Fertilizers
Goal programming
Information Systems and Communication Service
Manual workers
Manures
Optimization
Original Research
Pattern Recognition and Graphics
Planning
Productivity
Python
Random sampling
Revenue
Software Engineering/Programming and Operating Systems
Sorghum
Sunflowers
Variables
Vision
Wireless Networks
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Summary:This study employs fuzzy goal programming (FGP) and goal programming (GP) approach to plan the production of sorghum–Bengal gram–sunflower intercropping in the Northern Dry Zone of Karnataka. In this research, seven goals were established, increasing the annual revenue from sorghum–Bengal gram–sunflower intercropping, reducing agricultural expenses, decreasing labor input, optimizing the application of urea fertilizer, optimizing the application of fertilizer, enhancing the use of manure, and reducing the utilized land area. The research employed a survey technique. The data gathering method involved purposive sampling. Participants were farmers practicing rice–corn–soybean intercropping. The number of participants were thirty individuals, and data was collected through random sampling. This model solved by Lingo and Python software. Both provided identical results. The results demonstrated that optimal outcomes can be achieved with an increase in the yearly revenue by intercropping sorghum–Bengal gram–sunflower on an area of 1.95, 0.04 and 0.05 ha.
ISSN:2661-8907
2662-995X
2661-8907
DOI:10.1007/s42979-024-03368-1