ICETETI-2024 | View PDF
Paper Id:ICETETI-MSM111
doi: 10.71141/30485037/ICETETI-MSM111

Utilizing AI in Smart Farming: Enhancing Crop Yield Predictions with Machine Learning

Thomas Wright, Muhammadu Sathik Raja

Citation:
Thomas Wright, Muhammadu Sathik Raja, "Utilizing AI in Smart Farming: Enhancing Crop Yield Predictions with Machine Learning" International Journal of Multidisciplinary on Science and Management, pp. 95-104, 2024.

Abstract:
The abstract summarizes the core points of the paper: using AI, specifically machine learning (ML), in enhancing crop yield predictions in smart farming. It outlines how machine learning models help farmers make better decisions regarding crop selection, irrigation, pest control, and harvesting. The abstract also touches upon the main methods used, results observed, and implications for sustainable agricultural practices.

Keywords: Artificial Intelligence (AI), Smart Farming, Machine Learning, Crop Yield Prediction, Sustainable Agriculture, Precision Agriculture, Predictive Analytics, Big Data in Agriculture.

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