A Review of the Challenges of Using Deep Learning Algorithms to Support Decision-Making in Agricultural Activities.
Khadijeh AlibabaeiPedro Dinis GasparTânia M. LimaRebeca M. CamposInês GirãoJorge MonteiroCarlos M. LopesPublished in: Remote. Sens. (2022)
Keyphrases
- learning algorithm
- deep architectures
- machine learning
- machine learning algorithms
- active learning
- open issues
- lessons learned
- activity recognition
- technical challenges
- supervised learning
- key issues
- real world
- reinforcement learning
- back propagation
- learning rate
- website
- data sets
- probabilistic model
- upper bound
- database
- training samples
- training data
- kernel methods
- case study
- decision trees
- literature review