DeepSeedling: deep convolutional network and Kalman filter for plant seedling detection and counting in the field

DeepSeedling: deep convolutional network and Kalman filter for plant seedling detection and counting in the field

Abstract Background Plant population density is an important factor for agricultural production systems due to its substantial influence on crop yield and quality. Traditionally, plant population density is estimated by using either field assessment or a germination-test-based approach. These approa...

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Bibliographic Details
Main Authors: Yu Jiang, Changying Li, Andrew H. Paterson, Jon S. Robertson
Format: Article
Language:English
Published: BMC 2019-11-01
Series:Plant Methods
Subjects:
Faster RCNN
Object detection
Video tracking
Cotton
Population density
Online Access:http://link.springer.com/article/10.1186/s13007-019-0528-3

Internet

http://link.springer.com/article/10.1186/s13007-019-0528-3

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