Quantifying consistency of crop establishment using a lightweight U-Net deep learning architecture and image processing techniques.
Muhib UllahFatimah IslamAbdul BaisPublished in: Comput. Electron. Agric. (2024)
Keyphrases
- lightweight
- deep learning
- communication infrastructure
- unsupervised feature learning
- unsupervised learning
- machine learning
- network architecture
- wireless sensor networks
- development environments
- mental models
- dos attacks
- d objects
- decision support system
- deep architectures
- viewpoint
- natural images
- face recognition
- weakly supervised
- learning algorithm
- data sets