Deep learning-based precision agriculture through weed recognition in sugar beet fields.
Amin NasiriMahmoud OmidAmin Taheri-GaravandAbdolabbas JafariPublished in: Sustain. Comput. Informatics Syst. (2022)
Keyphrases
- deep learning
- unsupervised learning
- precision agriculture
- unsupervised feature learning
- object recognition
- machine learning
- mental models
- restricted boltzmann machine
- computer vision
- deep architectures
- feature extraction
- weakly supervised
- data mining
- information extraction
- semi supervised
- supervised learning
- question answering
- action recognition
- information retrieval