Rice Ears Detection Method Based on Multi-Scale Image Recognition and Attention Mechanism
Author:
Affiliation:
1. Huzhou Academy of Agricultural Sciences, Huzhou, China
2. School of Information Engineering, Huzhou University, Huzhou, China
Funder
Grain and Oil Industry Technology Team Project of Zhejiang
Natural Science Fund of Huzhou
Key Research and Development Program of Huzhou
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10530016.pdf?arnumber=10530016
Reference29 articles.
1. Strategies for developing Green Super Rice
2. Yield determination, interplay between major components and yield stability in a traditional and a contemporary wheat across a wide range of environments
3. Coarse and fine regulation of wheat yield components in response to genotype and environment
4. Segmenting ears of winter wheat at flowering stage using digital images and deep learning
5. Panicle-SEG: a robust image segmentation method for rice panicles in the field based on deep learning and superpixel optimization
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