Abstract:

The global pursuit of sustainable agriculture demands a fundamental shift from input-intensive to intelligence-intensive farming systems. The convergence of drip irrigation, fertigation, and artificial intelligence (AI) has emerged as a promising pathway to enhance water and nutrient use efficiency while sustaining productivity under changing climatic conditions. This article explores how these technologies, when integrated, can transform farming into a smart, resource-efficient, and climate-resilient enterprise. It also highlights field experiences, practical advantages, and policy perspectives guiding the transition toward data-driven sustainability.