Static laser weeding system based on improved YOLOv8 and image fusion
Published: 3 October 2024
Abstract Views: 128
PDF: 82
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Similar Articles
- Andrea Peruzzi, Luisa Martelloni, Christian Frasconi, Marco Fontanelli, Michel Pirchio, Michele Raffaelli, Machines for non-chemical intra-row weed control in narrow and wide-row crops: a review , Journal of Agricultural Engineering: Vol. 48 No. 2 (2017)
- Luisa Martelloni, Christian Frasconi, Mino Sportelli, Marco Fontanelli, Michele Raffaelli, Andrea Peruzzi, Hot foam and hot water for weed control: A comparison , Journal of Agricultural Engineering: Vol. 52 No. 3 (2021)
- Dhanashree Barbole, Parul M. Jadhav, Comparative analysis of 2D and 3D vineyard yield prediction system using artificial intelligence , Journal of Agricultural Engineering: Vol. 55 No. 1 (2024)
- Yun Zhu, Shuwen Liu, Xiaojun Wu, Lianfeng Gao, Youyun Xu, Multi-class segmentation of navel orange surface defects based on improved DeepLabv3+ , Journal of Agricultural Engineering: Vol. 55 No. 2 (2024)
- Kai Tian, Jiefeng Zeng, Tianci Song, Zhuliu Li, Asenso Evans, Jiuhao Li, Tomato leaf diseases recognition based on deep convolutional neural networks , Journal of Agricultural Engineering: Vol. 54 No. 1 (2023)
- Bing Li, Jiyun Li, Key technology of crop precision sowing based on the vision principle , Journal of Agricultural Engineering: Vol. 54 No. 1 (2023)
- Thanaporn Singhpoo, Khwantri Saengprachatanarug, Seree Wongpichet, Jetsada Posom, Kanda Runapongsa Saikaew, Cassava stalk detection for a cassava harvesting robot based on YOLO v4 and Mask R-CNN , Journal of Agricultural Engineering: Vol. 54 No. 2 (2023)
- Xiong Bi, Hongchun Wang, Double-branch deep convolutional neural network-based rice leaf diseases recognition and classification , Journal of Agricultural Engineering: Vol. 55 No. 1 (2024)
- Yusuf Uzun, Mehmet Resit Tolun, Halil Tanyer Eyyuboglu, Filiz Sarı, An intelligent system for detecting Mediterranean fruit fly [Medfly; Ceratitis capitata (Wiedemann)] , Journal of Agricultural Engineering: Vol. 53 No. 3 (2022)
- Diwei Wu, Shaohua Zeng, Shuai Wang, Yanan Chen, Yidan Xu, Zanthoxylum infructescence detection based on adaptive density clustering , Journal of Agricultural Engineering: Vol. 55 No. 2 (2024)
You may also start an advanced similarity search for this article.