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…
Survey of Intelligent Optimization of Multicropping Strategies Across Irrigation Types Using Genetic Algorithms, Deep Learning, and Particle Swarm Optimization
This research focuses on the intelligent optimization of multicropping strategies across various irrigation systems using advanced Artificial Intelligence (AI) techniques. In regions with diverse climatic and soil conditions, selecting the optimal crop combination is…
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