From Intuition to Agriculture 4.0: A Comprehensive Review of Internet of Things (IoT) and Machine Learning in Precision Farming

Abstract: The global agricultural sector is currently undergoing a massive paradigm shift, transitioning from traditional, intuition-based farming practices to highly optimized, data-driven methodologies. Driven by rapid population growth and unpredictable climate volatility, the emergence of "Agriculture 4.0" relies heavily on the integration of the Internet of Things (IoT) and Machine Learning (ML). This paper provides a comprehensive review of the modern precision agriculture ecosystem. It explores the architectural flow of wireless sensor networks, the role of multi-source data acquisition (including UAVs and soil nodes), and the foundational transition toward algorithmic decision-making. Ultimately, this review establishes that while IoT hardware provides the necessary biological data, the future of smart farming depends entirely on the development of advanced computational software capable of translating environmental metrics into actionable crop recommendations.