GlandSegNet: Semantic segmentation model and area detection method for cotton leaf pigment glands

Author:

Xu Yaxuan,Wang Guoning,Shao LiminORCID,Wang Nan,She Lixuan,Liu Yu,Geng Yuhong,Yan Geng

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference49 articles.

1. Al-Amri, S.S., Kalyankar, N.V., Khamitkars, D., 2010, Image segmentation by using threshold techniques. ArXiv abs/1005.4020, 86. https://doi.org/10.48550/arXiv.1005.4020.

2. Agrisegnet: deep aerial semantic segmentation framework for iot-assisted precision agriculture;Anand;Ieee Sens. J.,2021

3. Genetics and the conservation and use of australian wild relatives of crops;Brown;Aust. J. Bot.,2000

4. Occurrence of terpenoid aldehydes and lysigenous cavities in the 'glandless' seeds of australian gossypium species;Brubaker;Aust. J. Bot.,1996

5. Effects of gossypol on fitness costs associated with resistance to bt cotton in pink bollworm;Carrière;J. Econ. Entomol.,2004

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