Integration Of Smart Sensors, AI And Iot In Precision Agriculture: Advancing Crop Productivity And Sustainability

Abstract

The growing global demand for food, coupled with climate variability and environmental constraints, necessitates a transformative approach to agriculture. Precision agriculture (PA), empowered by the integration of smart sensors, artificial intelligence (AI), and the Internet of Things (IoT), presents a viable and sustainable solution to optimize crop productivity and resource efficiency. This paper explores the convergence of these advanced technologies in modern farming systems, highlighting how real-time data acquisition, predictive analytics, and automation contribute to better decision-making and input management. Smart sensors provide granular environmental and crop health data, while AI algorithms enable accurate forecasting of yields, pest outbreaks, and soil conditions. IoT frameworks ensure seamless data communication and remote control of agricultural operations. The synergy of these technologies leads to reduced input costs, enhanced crop yields, and improved environmental sustainability. This research provides an analytical overview of technological integration, practical applications, and future opportunities in smart farming systems, emphasizing their role in reshaping global agriculture to meet future food security goals.