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Linear programming model for vegetable crop rotation planning: a case study

Author

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  • Anggita Kharisma
  • Tomy Perdana

Abstract

This study developed a mix integer linear programming models for crop production planning. The model encompasses the crop rotation of four vegetables as product diversification to fulfil supermarket demand. A production system at one of the farmer groups located in West Java, Indonesia has opted as a case study. The approach of the decision was determined upon the consideration of vegetable botanical family, crop rotation issue, total available land which exceeds the demand, and total interval time for harvesting each of the commodities. The decision has been made into a weekly scheduling plan for over a year with three combinations of crop rotation scheduling which are: 1) the combination of tomato and baby Kenya bean; 2) the combination of carrot and baby Kenya bean; and 3) the combination of potato and Kenya bean. This model generates a schedule based on plot and the combination of the rotation as a tool for a coordinator of the farmers' group to minimise the excess production and optimise the schedule for crop rotation. This study proposes optimisation for land utilisation and the right stock for farmers within a year with maximising profit target.

Suggested Citation

  • Anggita Kharisma & Tomy Perdana, 2019. "Linear programming model for vegetable crop rotation planning: a case study," International Journal of Agricultural Resources, Governance and Ecology, Inderscience Enterprises Ltd, vol. 15(4), pages 358-371.
    • Handle: RePEc:ids:ijarge:v:15:y:2019:i:4:p:358-371
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    Cited by:

    1. Tomy Perdana & Diah Chaerani & Fernianda Rahayu Hermiatin & Audi Luqmanul Hakim Achmad & Ananda Fridayana, 2022. "Does an Alternative Local Food Network Contribute to Improving Sustainable Food Security?," Sustainability, MDPI, vol. 14(18), pages 1-17, September.
    2. Chethana Chandrasiri & Senevi Kiridena & Subodha Dharmapriya & Asela K. Kulatunga, 2024. "Adoption of Multi-Modal Transportation for Configuring Sustainable Agri-Food Supply Chains in Constrained Environments," Sustainability, MDPI, vol. 16(17), pages 1-13, September.

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