A Hybrid Intelligent Optimization Framework for Multicropping Systems Using Genetic Algorithm, Deep Learning, and Particle Swarm Optimization
Multicropping optimization is a complex and multi-objective problem that involves selecting optimal crop combinations to maximize yield and profit while minimizing resource usage. This paper proposes a hybrid intelligent optimization framework integrating Genetic Algorithm…
Intelligent Optimization of Multicropping Strategies Across Irrigation Systems using Genetic Algorithm, Deep Learning, and Particle Swarm Optimization
Agriculture plays a crucial role in ensuring food security and sustainable economic development. However, increasing population growth, limited water resources, climate variability, and inefficient crop planning practices present significant challenges to agricultural productivity. Multicropping…
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