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Utilizing convolutional neural networks (CNN) and U-Net architecture for precise crop and weed segmentation in agricultural imagery: A deep learning approach

Mughair Aslam Bhatti, Syam M.S., Huafeng Chen, Yurong Hu, Li Wai Keung, Zeeshan Zeeshan, Yasser A. Ali, Nadia Sarhan

2024Big Data Research41 citationsDOI

Topics & Concepts

Computer scienceArtificial intelligenceConvolutional neural networkSegmentationOverfittingDeep learningImage segmentationPattern recognition (psychology)PreprocessorGround truthArtificial neural networkSmart Agriculture and AIRemote Sensing and LiDAR ApplicationsRemote Sensing in Agriculture
Utilizing convolutional neural networks (CNN) and U-Net architecture for precise crop and weed segmentation in agricultural imagery: A deep learning approach | Litcius