Smart Agriculture Prediction Using IoT in Al-Bahah Province
DOI:
https://doi.org/10.48047/k1h6af08Keywords:
IoT, Machine Learning, Smart Farming, Precision Agriculture, Sustainability.Abstract
The integration of Internet of Things (IoT) and Machine Learning (ML) in agriculture may
revolutionize the way farming is done, enhance productivity, increase resource efficiency, and
promote sustainability. This paper explores the influence of IoT and ML adoption in agriculture in
the Al-Bahah region on crop yields, water efficiency, and environmental sustainability. The research
indicates that smart farming techniques can help in overcoming issues such as water scarcity, soil
degradation, and pest control by using sensor-based data collection, predictive analytics, and
automated decision-making.
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