Optimal Cropping Pattern for Profit Maximization Using Linear programming Approach

Sustainable agriculture is achievable when productive resources are allocated efficiently and crops are selected based on the unique characteristics of each region. To enhance sustainability in agricultural practices, establishing optimal cropping patterns is essential. This approach not only increases production and profitability for farmers but also safeguards the environment, ensuring that agricultural practices meet current needs. In the present study, data from the agricultural year 2023-2024 were analyzed using simple linear programming for eight major crops. Primary data were collected from farmers in 21 villages of the Qarghayi District, following Cochran’s formula, with a simple random sampling method used to complete 379 questionnaires. Secondary data were obtained from the Agricultural Directorate of Laghman Province. The findings revealed that land was not allocated to tomatoes, potatoes, eggplants, and round zucchini, leading to their exclusion from the linear models. Land allocated for cucumber and Leek increased by 889.45 hectares and 442.6 hectares, respectively. Conversely, land allocated for wheat and okra decreased by 176 hectares and 272.25 hectares, respectively. Overall, the total cultivated area decreased by 516.2 hectares, representing an 8.13% reduction, while the gross margin increased by 56.5 million Afghanis, indicating a 9% improvement. These results demonstrate that it is possible to enhance profitability in this district through strategic land allocation without relying on external interventions.

Publication Details

Journal
International Journal of Agriculture and Veterinary Sciences
Published
2025-04-23
DOI
https://doi.org/10.34104/ijavs.025.01630174
Primary Topic
Agricultural Economics and Policy
Type
article
Field-Weighted Citation Impact
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article

Optimal Cropping Pattern for Profit Maximization Using Linear programming Approach

International Journal of Agriculture and Veterinary Sciences
Agricultural Economics and Policy
article

Optimal Cropping Pattern for Profit Maximization Using Linear programming Approach

article en

Abstract

Sustainable agriculture is achievable when productive resources are allocated efficiently and crops are selected based on the unique characteristics of each region. To enhance sustainability in agricultural practices, establishing optimal cropping patterns is essential. This approach not only increases production and profitability for farmers but also safeguards the environment, ensuring that agricultural practices meet current needs. In the present study, data from the agricultural year 2023-2024 were analyzed using simple linear programming for eight major crops. Primary data were collected from farmers in 21 villages of the Qarghayi District, following Cochran’s formula, with a simple random sampling method used to complete 379 questionnaires. Secondary data were obtained from the Agricultural Directorate of Laghman Province. The findings revealed that land was not allocated to tomatoes, potatoes, eggplants, and round zucchini, leading to their exclusion from the linear models. Land allocated for cucumber and Leek increased by 889.45 hectares and 442.6 hectares, respectively. Conversely, land allocated for wheat and okra decreased by 176 hectares and 272.25 hectares, respectively. Overall, the total cultivated area decreased by 516.2 hectares, representing an 8.13% reduction, while the gross margin increased by 56.5 million Afghanis, indicating a 9% improvement. These results demonstrate that it is possible to enhance profitability in this district through strategic land allocation without relying on external interventions.

International Journal of Agriculture and Veterinary Sciences
Openalex Percentile: Top 88%
Agricultural Economics and Policy
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