Applications of IoT in Agriculture using ML: Review

The emergence of Internet of Things (IoT) technology has significantly altered various aspects of everyday life, instilling intelligence into nearly everything.In the expansive realm of IoT applications, the incorporation of IoT into smart agriculture has captured the attention of numerous researchers, utilizing both Machine Learning (ML) and IoT technologies for groundbreaking investigations.The application of IoT-driven, data-centric techniques in farm management has the potential to enhance agricultural outcomes by strategically planning input costs, reducing losses, and optimizing resource utilization.The substantial volume of data generated by IoT, exhibiting diverse features based on location and time, requires thorough analysis and processing to enhance agricultural efficiency through intelligent farm management.As more and more data is gathered, the powerful processing powers of machine learning open up new avenues for data-intensive study.Applications' intelligence and usefulness may be further improved by leveraging machine learning techniques.This paper looks closely at previous attempts at smart farming and agriculture, with particular attention on IoT and ML.Furthermore, it introduces innovative concepts proposing the seamless integration of ML and IoT in such applications.1