DeepCotton: in-field cotton segmentation using deep fully convolutional network
Author:
Affiliation:
1. Huazhong University of Science and Technology, National Key Laboratory of Science and Technology on
2. Bonn-Aachen International Center for Information Technology, Bonn
Publisher
SPIE-Intl Soc Optical Eng
Subject
Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics
Reference29 articles.
1. Accurate length measurement of multiple cotton fibers
2. High throughput phenotyping of cotton plant height using depth images under field conditions
3. Development of a novel system for accurate and continuous measurement of fruit diameter in agriculture and its applications to grapes
4. Automatic image-based detection technology for two critical growth stages of maize: Emergence and three-leaf stage
5. Identification of phenological growth stages of sugar apple (Annona squamosa L.) using the extended BBCH-scale
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