Artificial Neural Networks (ANNs) are rapidly emerging as a powerful tool for solving complex, nonlinear problems in the agricultural sector. By simulating the structure and function of the human nervous system, these advanced models possess the unique ability to learn hierarchical features directly from data, processing information with remarkable efficiency. A comprehensive review by Salvador […]
Global agricultural ecosystems are currently facing unprecedented challenges driven by climate change. These compounding issues include severe threats to food security, the rapid depletion of water resources, widening social inequality, and the profound disruption of rural livelihoods. Complicating matters further, agriculture is itself a major driver of the crisis, accounting for more than 25% of […]





