Internet of Things (IoT), Sensors, and Artificial Intelligence in Farming: Architecting the Data-Driven Agricultural Revolution

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Internet of Things (IoT), Sensors, and Artificial Intelligence in Farming: Architecting the Data-Driven Agricultural Revolution

Anand Jejal*, Anjali Mehta, Tejaswini Chandrakar, K. Sukeswara Achari

Abstract

The global agricultural sector is facing the immense challenge of feeding a rapidly growing population amidst increasing resource scarcity and climate volatility. This confluence of pressures necessitates a paradigm shift from traditional practices to a more efficient, resilient, and sustainable model of food production. This chapter argues that the synergistic integration of the Internet of Things (IoT), advanced sensors, and Artificial Intelligence (AI) is the cornerstone of this transformation, often termed the "Third Green Revolution" or "Agriculture 4.0." This new paradigm is centered on data-driven precision and sustainability. This chapter explores how a network of in-situ and remote sensors, including drones and satellites, acts as the farm's sensory nervous system, generating high-fidelity, real-time data on soil, crop, and environmental conditions. This vast data stream is then processed by AI and machine learning algorithms, which serve as the farm's "brain," transforming raw data into actionable intelligence. The chapter details key applications, including predictive analytics for yield forecasting and disease prevention, machine vision for automated crop monitoring, and integrated systems for precision irrigation and nutrient management that can reduce water use by 30-50%. Finally, this chapter addresses the significant barriers to adoption (such as high initial costs, rural connectivity gaps, and data security concerns) and examines future trajectories, including the role of 5G and blockchain in creating a more efficient, resilient, and ecologically sound food production system.