A new AI-based approach for automatic identification of tea leaf disease using deep neural network based on hybrid pooling

Author:

Heng Qidong,Yu Sibo,Zhang Yandong

Publisher

Elsevier BV

Reference30 articles.

1. An integrated approach for predicting and broadcasting tea leaf disease at early stage using IoT with machine learning–a review;Yashodha;Mater. Today: Proc.,2021

2. Tea leaf diseases recognition using neural network ensemble;Karmokar;Int. J. Comput. Appl.,2015

3. Tea leaf disease detection and identification based on YOLOv7 (YOLO-T);Soeb;Sci. Rep.,2023

4. Discovery of plant viruses from tea plant by metagenomic sequencing;Hao;Front. Microbiol.,2018

5. Circulating endothelial cells: tea leaves for renal disease;Segal;Am. J. Physiol. Ren. Physiol.,2002

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