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VOL. 13, ISSUE 1 (2026)
Neuro-EvoSwarm Optimizer: A hybrid deep learning, genetic algorithm and particle swarm optimization model for multicropping strategy optimization across irrigation sytems
Authors
N Amirtha Gowri, Dr. R Nandhakumar
Abstract
Multicropping has emerged
as an effective strategy to enhance agricultural productivity, improve land-use
efficiency, and reduce risks associated with climate variability. However,
identifying optimal crop combinations and irrigation strategies is a complex
optimization problem involving nonlinear relationships among crops, soil
conditions, and water availability. This study proposes a hybrid optimization
framework named the Neuro‑EvoSwarm Optimizer (NESO) that integrates Deep
Learning (DL), Genetic Algorithms (GA), and Particle Swarm Optimization (PSO)
for intelligent multicropping strategy optimization across different irrigation
systems. In the proposed approach, a deep learning model first learns the
nonlinear relationships between crop combinations, irrigation levels, soil
parameters, and expected yield. The trained model then acts as a predictive
fitness evaluator for evolutionary optimization. The Genetic Algorithm performs
global exploration of possible crop combinations and land allocation
strategies, while the Particle Swarm Optimization component refines promising
candidate solutions through swarm‑based local search. The framework is
evaluated using agricultural datasets containing crop yield information,
irrigation conditions, and soil characteristics. Experimental results
demonstrate that NESO achieves improved yield prediction accuracy, enhanced
water‑use efficiency, and faster convergence compared with standalone GA, PSO,
and GA‑PSO hybrid models. The proposed system highlights the potential of
hybrid artificial intelligence techniques in supporting sustainable
agricultural decision‑making and precision farming practices.
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Pages:551-556
How to cite this article:
N Amirtha Gowri, Dr. R Nandhakumar "Neuro-EvoSwarm Optimizer: A hybrid deep learning, genetic algorithm and particle swarm optimization model for multicropping strategy optimization across irrigation sytems". International Journal of Multidisciplinary Research and Development, Vol 13, Issue 1, 2026, Pages 551-556
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