Active learning with point supervision for cost-effective panicle detection in cereal crops

Active learning with point supervision for cost-effective panicle detection in cereal crops

Abstract Background Panicle density of cereal crops such as wheat and sorghum is one of the main components for plant breeders and agronomists in understanding the yield of their crops. To phenotype the panicle density effectively, researchers agree there is a significant need for computer vision-ba...

Full description

Bibliographic Details
Main Authors: Akshay L. Chandra, Sai Vikas Desai, Vineeth N. Balasubramanian, Seishi Ninomiya, Wei Guo
Format: Article
Language:English
Published: BMC 2020-03-01
Series:Plant Methods
Subjects:
Plant phenotyping
Crop detection
Deep learning
Active learning
Weak supervision
Point supervision
Online Access:http://link.springer.com/article/10.1186/s13007-020-00575-8

Internet

http://link.springer.com/article/10.1186/s13007-020-00575-8

Similar Items