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…
Crop Yield Prediction Using With the Simulated Annealing Convolutional Neural Networks (SACNNS) Optimization Algorithm
This paper introduces an innovative approach for precise crop yield prediction in Tamil Nadu, India, a region with diverse agricultural conditions. The Simulated Annealing Convolutional Neural Networks (SACNNs) optimization algorithm is employed to enhance…
Case Study Analysis: Integrating Particle Swarm Optimization with Deep Learning for Enhanced Agricultural Intelligence
This case study explores the integration of Particle Swarm Optimization (PSO) with Deep Learning (DL) to enhance agricultural intelligence in multicropping systems. A PSO- enhanced DL model was applied to crop yield prediction and…
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