Abstract
Cereals are an important and essential part of the population’s diet. They can be stored for a long time at relatively little cost. This is especially important for overcoming hunger in poor areas of the world. Their production accounts for a substantial amount of the greenhouse gas emission of the agricultural sector, which is in many cases directly affected by a changing climate. The growing world population accompanying these environmental pressures create a necessity to ensure food security while also arranging food systems in a sustainable way beneficial to all stakeholders along the value chain. Another important group of annual crops are vegetables. They play an important role in supplying the human body with vitamins and trace elements. In this paper we propose Ant Colony Optimization (ACO) algorithm for creating basic bio-economic farm model (BEFM). We seeking to assess farm profits and risks, considering various types of government incentives and policies and adverse weather events. Any annual crop can be included in the proposed model. It can be extended to incorporate many environmental goals and directions, targeted by recent EU policies.
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Acknowledgment
The presented work is partially supported by the grant No BG05M2OP011-1.001-0003, financed by the Science and Education for Smart Growth Operational Program and co-financed by European Union through the European structural and Investment funds. The work is supported too by National Scientific Fund of Bulgaria under the grant DFNI KP-06-N52/5 and by Polish-Bulgarian project “Practical aspects of applied computing”.
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Fidanova, S., Dimov, I., Angelova, D., Ganzha, M. (2024). Application of Methaeuristics for Agricultural System Modelling. In: Fidanova, S. (eds) Recent Advances in Computational Optimization. WCO 2022. Studies in Computational Intelligence, vol 1158. Springer, Cham. https://doi.org/10.1007/978-3-031-57320-0_6
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DOI: https://doi.org/10.1007/978-3-031-57320-0_6
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