Utilizing unsupervised learning to improve sward content prediction and herbage mass estimation.
Paul AlbertMohamed SaadeldinBadri NarayananBrian Mac NameeDeirdre HennessyAisling H. O'ConnorNoel E. O'ConnorKevin McGuinnessPublished in: CoRR (2022)
Keyphrases
- unsupervised learning
- prediction accuracy
- improve the prediction accuracy
- data sets
- neural network
- accurate estimation
- multimedia content
- metadata
- search engine
- decision trees
- artificial neural networks
- semi supervised
- multimedia
- image processing
- user experience
- estimation error
- user generated content
- estimation accuracy
- machine learning