{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T01:50:22Z","timestamp":1784598622962,"version":"3.55.0"},"reference-count":47,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2024,8,3]],"date-time":"2024-08-03T00:00:00Z","timestamp":1722643200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation of China","award":["61863009"],"award-info":[{"award-number":["61863009"]}]},{"name":"National Natural Science Foundation of China","award":["Guike-AB22080093"],"award-info":[{"award-number":["Guike-AB22080093"]}]},{"name":"National Natural Science Foundation of China","award":["202201001"],"award-info":[{"award-number":["202201001"]}]},{"name":"Guangxi Key R&amp;D Program","award":["61863009"],"award-info":[{"award-number":["61863009"]}]},{"name":"Guangxi Key R&amp;D Program","award":["Guike-AB22080093"],"award-info":[{"award-number":["Guike-AB22080093"]}]},{"name":"Guangxi Key R&amp;D Program","award":["202201001"],"award-info":[{"award-number":["202201001"]}]},{"name":"Wuzhou Central Leading Local Science and Technology Development Fund Project","award":["61863009"],"award-info":[{"award-number":["61863009"]}]},{"name":"Wuzhou Central Leading Local Science and Technology Development Fund Project","award":["Guike-AB22080093"],"award-info":[{"award-number":["Guike-AB22080093"]}]},{"name":"Wuzhou Central Leading Local Science and Technology Development Fund Project","award":["202201001"],"award-info":[{"award-number":["202201001"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Dragon fruit stem disease significantly affects both the quality and yield of dragon fruit. Therefore, there is an urgent need for an efficient, high-precision intelligent detection method to address the challenge of disease detection. To address the limitations of traditional methods, including slow detection and weak micro-integration capability, this paper proposes an improved YOLOv8-G algorithm. The algorithm reduces computational redundancy by introducing the C2f-Faster module. The loss function was modified to the structured intersection over union (SIoU), and the coordinate attention (CA) and content-aware reorganization feature extraction (CARAFE) modules were incorporated. These enhancements increased the model\u2019s stability and improved its accuracy in recognizing small targets. Experimental results showed that the YOLOv8-G algorithm achieved a mean average precision (mAP) of 83.1% and mAP50:95 of 48.3%, representing improvements of 3.3% and 2.3%, respectively, compared to the original model. The model size and floating point operations per second (FLOPS) were reduced to 4.9 MB and 6.9 G, respectively, indicating reductions of 20% and 14.8%. The improved model achieves higher accuracy in disease detection while maintaining a lighter weight, serving as a valuable reference for researchers in the field of dragon fruit stem disease detection.<\/jats:p>","DOI":"10.3390\/s24155034","type":"journal-article","created":{"date-parts":[[2024,8,5]],"date-time":"2024-08-05T13:57:28Z","timestamp":1722866248000},"page":"5034","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["YOLOv8-G: An Improved YOLOv8 Model for Major Disease Detection in Dragon Fruit Stems"],"prefix":"10.3390","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-4031-5148","authenticated-orcid":false,"given":"Luobin","family":"Huang","sequence":"first","affiliation":[{"name":"Key Laboratory of Advanced Manufacturing and Automation Technology, Guilin University of Technology, Education Department of Guangxi Zhuang Autonomous Region, Guilin 541006, China"},{"name":"Guangxi Engineering Research Center of Intelligent Rubber Equipment, Guilin University of Technology, Guilin 541006, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingxia","family":"Chen","sequence":"additional","affiliation":[{"name":"Key Laboratory of Advanced Manufacturing and Automation Technology, Guilin University of Technology, Education Department of Guangxi Zhuang Autonomous Region, Guilin 541006, China"},{"name":"Guangxi Engineering Research Center of Intelligent Rubber Equipment, Guilin University of Technology, Guilin 541006, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-9683-4816","authenticated-orcid":false,"given":"Zihao","family":"Peng","sequence":"additional","affiliation":[{"name":"Guilin GLESI Scientific Technology Co., Ltd., Guilin 541004, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,8,3]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"245","DOI":"10.17221\/112\/2022-PPS","article-title":"Stem canker of dragon fruit (Hylocereus polyrhizus): Neoscytalidium sp. is a pathogen of the disease and its control using sodium salt","volume":"59","author":"Riska","year":"2023","journal-title":"Plant Protect. 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