Small and marginal farmers around the world face a complex web of intersecting challenges, from severe food insecurity and climate-driven environmental risks to systemic structural disadvantages. Historically, agricultural extension—the application of scientific research and new knowledge to agricultural practices—has played a central role in supporting these communities. Over time, these advisory approaches have evolved, shifting […]
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 […]





