Verification of improved YOLOX model in detection of greenhouse crop organs: Considering tomato as example

Author:

Zhang Fujie,Lv Zhiyuan,Zhang Huixin,Guo Jia,Wang Jian,Lu Tiangang,Zhangzhong Lili

Publisher

Elsevier BV

Subject

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

Reference39 articles.

1. A model predictive controller for precision irrigation using discrete lagurre networks;Abioye;Comput. Electron. Agric.,2021

2. Multi-network fusion algorithm with transfer learning for green cucumber segmentation and recognition under complex natural environment;Bai;Comput. Electron. Agric.,2022

3. Bochkovskiy, A., Wang, C.-Y., & Liao, H.-Y. M. (2020). Yolov4: Optimal speed and accuracy of object detection. arXiv preprint arXiv:2004.10934. 10.48550/arXiv.2004.10934.

4. Smart irrigation monitoring and control strategies for improving water use efficiency in precision agriculture: a review;Bwambale;Agric Water Manag,2022

5. Detecting ripe fruits under natural occlusion and illumination conditions;Chen;Comput. Electron. Agric.,2021

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