Machine Learning and IoT for Smart Agriculture: A Comprehensive Review

The world's population will grow faster than ever in the next ten years. After this, food will be ‎even more important. The old ways of growing won't be able to feed everyone when they need ‎to. This is why it's important to use cutting-edge technologies to address the issues that arise ‎when there are more people and more food. Smart agriculture heavily relies on AI and IoT for ‎various farming tasks. Smart agriculture serves as the most sustainable approach for modern ‎farms. Farmers use various monitors, including those that measure temperature, water levels, ‎and rainfall. This study explores the potential applications of IoT and machine learning in ‎farming. Another part of this study examines the usefulness and accuracy of various machine ‎learning methods. Machine learning is a valuable tool for predicting the growth of various ‎crops, selecting the most suitable ones for cultivation, and monitoring their progress. These ‎algorithms consider diverse factors such as soil composition and compatibility classification to ‎optimize crop selection for productive and sustainable farming practices‎.