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…
Neuro-Evo Swarm Optimizer (NESO): A Hybrid Framework Combining Deep Learning, Genetic Algorithms, and Particle Swarm Optimization for Multi cropping Optimization
Sustainable agricultural productivity requires intelligent decision-making systems capable of handling complex interactions among crops, resources, and environmental conditions. Multi cropping systems, though beneficial for yield stability and risk reduction,…
Export this page’s citations: RIS (Zotero, Mendeley, EndNote) BibTeX