Feature-reinforced dual-encoder aggregation network for flue-cured tobacco grading

Author:

Chen Dongdong,Zhang YinhuiORCID,He Zifen,Deng Yunnan,Zhang Pengcheng,Hai Weiqi

Publisher

Elsevier BV

Subject

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

Reference29 articles.

1. China statistical yearbook 2021;China,2021

2. A novel and proposed comprehensive methodology using deep convolutional neural networks for flue cured tobacco leaves classification;Dasari;Int. J. Inf. Technol.,2019

3. Dosovitskiy, A., Beyer, L., Kolesnikov, A., Weissenborn, D., Houlsby, N., 2020. An Image is Worth 16 × 16 Words: Transformers for Image Recognition at Scale. In: International Conference on Learning Representations.

4. Han, L., 2008. Recognition of the part of growth of flue-cured tobacco leaves based on support vector machine. In: 2008 7th World Congress on Intelligent Control and Automation. pp. 3624–3627.

5. Growing period classification of Gynura bicolor DC using GL-CNN;Hao;Comput. Electron. Agric.,2020

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