Utilizing convolutional neural networks (CNN) and U-Net architecture for precise crop and weed segmentation in agricultural imagery: A deep learning approach.
Mughair Aslam BhattiSyam Melethil SethumadhavanHuafeng ChenYurong HuLi Wai KeungZeeshan ZeeshanYasser A. AliNadia SarhanPublished in: Big Data Res. (2024)
Keyphrases
- deep learning
- convolutional neural networks
- unsupervised learning
- segmentation algorithm
- machine learning
- image segmentation
- convolutional network
- unsupervised feature learning
- level set
- multiscale
- shape prior
- segmentation method
- computer vision
- high resolution
- weakly supervised
- mental models
- object segmentation
- image processing
- deep architectures
- automatic extraction
- image features
- energy function
- bayesian networks
- k means
- training data
- graph cuts
- principal component analysis