Cargando…
Tomato Diseases and Pests Detection Based on Improved Yolo V3 Convolutional Neural Network
Tomato is affected by various diseases and pests during its growth process. If the control is not timely, it will lead to yield reduction or even crop failure. How to control the diseases and pests effectively and help the vegetable farmers to improve the yield of tomato is very important, and the m...
Autores principales: | Liu, Jun, Wang, Xuewei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7309963/ https://www.ncbi.nlm.nih.gov/pubmed/32612632 http://dx.doi.org/10.3389/fpls.2020.00898 |
Ejemplares similares
-
Tomato Anomalies Detection in Greenhouse Scenarios Based on YOLO-Dense
por: Wang, Xuewei, et al.
Publicado: (2021) -
Tomato Pest Recognition Algorithm Based on Improved YOLOv4
por: Liu, Jun, et al.
Publicado: (2022) -
An automatic identification system for citrus greening disease (Huanglongbing) using a YOLO convolutional neural network
por: Qiu, Rong-Zhou, et al.
Publicado: (2022) -
Pest-YOLO: A model for large-scale multi-class dense and tiny pest detection and counting
por: Wen, Changji, et al.
Publicado: (2022) -
AgriPest-YOLO: A rapid light-trap agricultural pest detection method based on deep learning
por: Zhang, Wei, et al.
Publicado: (2022)