Crop Yield Estimation With Help of Unmanned Aerial Vehicle (UAV) & Advanced Machine Learning Techniques
This research proposes and validates an intelligent framework that combines UAV-captured RGB imagery with advanced machine learning and deep learning algorithms to accurately predict wheat crop yields, offering a superior, automated, and non-destructive alternative to traditional manual assessment methods for precision agriculture.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
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