Smart Agriculture Prediction Using IoT in Al-Bahah Province

The integration of Internet of Things (IoT) and Machine Learning (ML) in agriculture mayrevolutionize the way farming is done, enhance productivity, increase resource efficiency, andpromote sustainability. This paper explores the influence of IoT and ML adoption in agriculture inthe Al-Bahah region on crop yields, water efficiency, and environmental sustainability. The researchindicates that smart farming techniques can help in overcoming issues such as water scarcity, soildegradation, and pest control by using sensor-based data collection, predictive analytics, andautomated decision-making.