A Novel Bio-inspired Optimization Framework for Effective Crop Land Allocation and Utilization

Land availability for agriculture has become scarce in the present technological world. Effective usage of the cultivable land is constrained due to less availability of water and cost-effective land allocation for cultivation has turned out more challenging. Crop planning optimization is termed as a combinatorial optimization problem, in which effective utilization of land plays a major role. The primary objective of this paper is to perform optimal land allocation to improve agricultural income. Ant colony optimization algorithm (ACO), Social Spider Algorithm (SSA), and LINGO global solver are applied for optimizing the agricultural land in this work. The study area chosen for this research is agricultural areas in Coimbatore, situated in Tamilnadu state, India. This research outcome has shown that planned land allocation through optimization algorithms could significantly increase the profit in agriculture to a considerable extent.