Cost-effective identification of the field maturity of tobacco leaves based on deep semi-supervised active learning and smartphone photograph.
Tong SunChaoqun XueYang ChenLuyao ZhaoChenchen QiaoAoyu HuangFeitao LiChao LiuHeng WangYongfeng YangQian YaoGaojie WangChengzhong SunTao TianHongbo QiaoPublished in: Comput. Electron. Agric. (2023)
Keyphrases
- cost effective
- semi supervised
- active learning
- semi supervised learning
- labeled data
- low cost
- unlabeled data
- cost effectiveness
- supervised learning
- pairwise
- multi view
- pool based active learning
- data center
- semi supervised classification
- semi supervised clustering
- unsupervised learning
- labeled examples
- batch mode
- training examples
- mobile devices
- mobile applications
- pairwise constraints
- decision trees
- selective sampling
- learning algorithm