A Weakly Supervised Deep Learning Framework for Sorghum Head Detection and Counting

A Weakly Supervised Deep Learning Framework for Sorghum Head Detection and Counting

The yield of cereal crops such as sorghum (Sorghum bicolor L. Moench) depends on the distribution of crop-heads in varying branching arrangements. Therefore, counting the head number per unit area is critical for plant breeders to correlate with the genotypic variation in a specific breeding field....

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Bibliographic Details
Main Authors: Sambuddha Ghosal, Bangyou Zheng, Scott C. Chapman, Andries B. Potgieter, David R. Jordan, Xuemin Wang, Asheesh K. Singh, Arti Singh, Masayuki Hirafuji, Seishi Ninomiya, Baskar Ganapathysubramanian, Soumik Sarkar, Wei Guo
Format: Article
Language:English
Published: American Association for the Advancement of Science (AAAS) 2019-01-01
Series:Plant Phenomics
Online Access:http://dx.doi.org/10.34133/2019/1525874

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