Profit Optimization in Agricultural Crop Production in Belthangady Taluk Using Linear Programming Models

Uloženo v:
Podrobná bibliografie
Název: Profit Optimization in Agricultural Crop Production in Belthangady Taluk Using Linear Programming Models
Autoři: B. Ganesh Nayak, R. Ananthi
Zdroj: Louis Savenien Dupuis Journal of Multidisciplinary Research. :292-298
Informace o vydavateli: Update Publishing House, 2024.
Rok vydání: 2024
Popis: India, being a developing economy, depends greatly on agriculture, which under pins the livelihoods of a large segment of its population. Agriculture serves not only as a food source for millions but also plays a crucial role in economic development, offering jobs and creating income for both farmers and workers. Nonetheless, the industry encounters ongoing issues like inadequate access to quality resources, a lack of skilled work force, in effective markets, and decreasing production levels. To address these challenges, the use of linear programming—an optimization method grounded in science and mathematics—has surfaced as a viable solution. By effectively distributing resources, enhancing crop selections, and maximizing returns within established limits, linear programming enables farmers and decision-makers to make informed choices, promoting sustainable agricultural methods and boosting productivity to satisfy increasing needs.
Druh dokumentu: Article
ISSN: 2584-0061
DOI: 10.21839/lsdjmr.2024.v3.194
Přístupové číslo: edsair.doi...........6bd3a53f62ec1a412a62bcc8019a2fe5
Databáze: OpenAIRE
Popis
Abstrakt:India, being a developing economy, depends greatly on agriculture, which under pins the livelihoods of a large segment of its population. Agriculture serves not only as a food source for millions but also plays a crucial role in economic development, offering jobs and creating income for both farmers and workers. Nonetheless, the industry encounters ongoing issues like inadequate access to quality resources, a lack of skilled work force, in effective markets, and decreasing production levels. To address these challenges, the use of linear programming—an optimization method grounded in science and mathematics—has surfaced as a viable solution. By effectively distributing resources, enhancing crop selections, and maximizing returns within established limits, linear programming enables farmers and decision-makers to make informed choices, promoting sustainable agricultural methods and boosting productivity to satisfy increasing needs.
ISSN:25840061
DOI:10.21839/lsdjmr.2024.v3.194