A Detection Line Counting Method Based on Multi-Target Detection and Tracking for Precision Rearing and High-Quality Breeding of Young Silkworm (<i>Bombyx mori</i>)
The co-rearing model for young silkworms (<i>Bombyx mori</i>) utilizing artificial feed is currently undergoing significant promotion within the sericulture industry in China. Within this model, accurately counting the number of young silkworms serves as a crucial foundation for achievin...
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MDPI AG
2025-07-01
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| author | Zhenghao Li Hao Chang Mingrui Shang Zhanhua Song Fuyang Tian Fade Li Guizheng Zhang Tingju Sun Yinfa Yan Mochen Liu |
| author_facet | Zhenghao Li Hao Chang Mingrui Shang Zhanhua Song Fuyang Tian Fade Li Guizheng Zhang Tingju Sun Yinfa Yan Mochen Liu |
| author_sort | Zhenghao Li |
| collection | DOAJ |
| description | The co-rearing model for young silkworms (<i>Bombyx mori</i>) utilizing artificial feed is currently undergoing significant promotion within the sericulture industry in China. Within this model, accurately counting the number of young silkworms serves as a crucial foundation for achieving precision rearing and high-quality breeding. Currently, manual counting remains the prevalent method for enumerating young silkworms, yet it is highly subjective. A dataset of young silkworm bodies has been constructed, and the Young Silkworm Counting (YSC) method has been proposed. This method combines an improved detector, incorporating an optimized multi-scale feature fusion module and the Efficient Multi-Scale Attention Fusion Cross Stage Partial (EMA-CSP) mechanism, with an optimized tracker (based on ByteTrack with improved detection box matching), alongside the implementation of a ‘detection line’ approach. The experimental results demonstrate that the recall, precision, and average precision (<i>AP</i><sub>50:95</sub>) of the improved detection algorithm are 87.9%, 91.3% and 72.7%, respectively. Additionally, the enhanced ByteTrack method attains a multiple-object tracking accuracy (<i>MOTA</i>) of 88.3%, an <i>IDF</i>1 of 90.2%, and a higher-order tracking accuracy (<i>HOTA</i>) of 78.1%. Experimental validation demonstrates a counting accuracy exceeding 90%. The present study achieves precise counting of young silkworms in complex environments through an improved detection-tracking method combined with a detection line approach. |
| format | Article |
| id | doaj-art-d8858b73f66b44b69b65a0e34341956f |
| institution | Matheson Library |
| issn | 2077-0472 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agriculture |
| spelling | doaj-art-d8858b73f66b44b69b65a0e34341956f2025-07-25T13:09:23ZengMDPI AGAgriculture2077-04722025-07-011514152410.3390/agriculture15141524A Detection Line Counting Method Based on Multi-Target Detection and Tracking for Precision Rearing and High-Quality Breeding of Young Silkworm (<i>Bombyx mori</i>)Zhenghao Li0Hao Chang1Mingrui Shang2Zhanhua Song3Fuyang Tian4Fade Li5Guizheng Zhang6Tingju Sun7Yinfa Yan8Mochen Liu9College of Mechanical and Electrical Engineering, Shandong Agriculture University, Tai’an 271018, ChinaCollege of Mechanical and Electrical Engineering, Shandong Agriculture University, Tai’an 271018, ChinaCollege of Mechanical and Electrical Engineering, Shandong Agriculture University, Tai’an 271018, ChinaCollege of Mechanical and Electrical Engineering, Shandong Agriculture University, Tai’an 271018, ChinaCollege of Mechanical and Electrical Engineering, Shandong Agriculture University, Tai’an 271018, ChinaCollege of Mechanical and Electrical Engineering, Shandong Agriculture University, Tai’an 271018, ChinaGuangxi Institute of Sericulture Science, Nanning 530007, ChinaShandong Guangtong Silkworm Rearing Co., Ltd., Weifang 262550, ChinaCollege of Mechanical and Electrical Engineering, Shandong Agriculture University, Tai’an 271018, ChinaCollege of Mechanical and Electrical Engineering, Shandong Agriculture University, Tai’an 271018, ChinaThe co-rearing model for young silkworms (<i>Bombyx mori</i>) utilizing artificial feed is currently undergoing significant promotion within the sericulture industry in China. Within this model, accurately counting the number of young silkworms serves as a crucial foundation for achieving precision rearing and high-quality breeding. Currently, manual counting remains the prevalent method for enumerating young silkworms, yet it is highly subjective. A dataset of young silkworm bodies has been constructed, and the Young Silkworm Counting (YSC) method has been proposed. This method combines an improved detector, incorporating an optimized multi-scale feature fusion module and the Efficient Multi-Scale Attention Fusion Cross Stage Partial (EMA-CSP) mechanism, with an optimized tracker (based on ByteTrack with improved detection box matching), alongside the implementation of a ‘detection line’ approach. The experimental results demonstrate that the recall, precision, and average precision (<i>AP</i><sub>50:95</sub>) of the improved detection algorithm are 87.9%, 91.3% and 72.7%, respectively. Additionally, the enhanced ByteTrack method attains a multiple-object tracking accuracy (<i>MOTA</i>) of 88.3%, an <i>IDF</i>1 of 90.2%, and a higher-order tracking accuracy (<i>HOTA</i>) of 78.1%. Experimental validation demonstrates a counting accuracy exceeding 90%. The present study achieves precise counting of young silkworms in complex environments through an improved detection-tracking method combined with a detection line approach.https://www.mdpi.com/2077-0472/15/14/1524young silkworm countingartificial feed co-rearingoverlapping detection box matchingimproved ByteTrackvideo analysis |
| spellingShingle | Zhenghao Li Hao Chang Mingrui Shang Zhanhua Song Fuyang Tian Fade Li Guizheng Zhang Tingju Sun Yinfa Yan Mochen Liu A Detection Line Counting Method Based on Multi-Target Detection and Tracking for Precision Rearing and High-Quality Breeding of Young Silkworm (<i>Bombyx mori</i>) Agriculture young silkworm counting artificial feed co-rearing overlapping detection box matching improved ByteTrack video analysis |
| title | A Detection Line Counting Method Based on Multi-Target Detection and Tracking for Precision Rearing and High-Quality Breeding of Young Silkworm (<i>Bombyx mori</i>) |
| title_full | A Detection Line Counting Method Based on Multi-Target Detection and Tracking for Precision Rearing and High-Quality Breeding of Young Silkworm (<i>Bombyx mori</i>) |
| title_fullStr | A Detection Line Counting Method Based on Multi-Target Detection and Tracking for Precision Rearing and High-Quality Breeding of Young Silkworm (<i>Bombyx mori</i>) |
| title_full_unstemmed | A Detection Line Counting Method Based on Multi-Target Detection and Tracking for Precision Rearing and High-Quality Breeding of Young Silkworm (<i>Bombyx mori</i>) |
| title_short | A Detection Line Counting Method Based on Multi-Target Detection and Tracking for Precision Rearing and High-Quality Breeding of Young Silkworm (<i>Bombyx mori</i>) |
| title_sort | detection line counting method based on multi target detection and tracking for precision rearing and high quality breeding of young silkworm i bombyx mori i |
| topic | young silkworm counting artificial feed co-rearing overlapping detection box matching improved ByteTrack video analysis |
| url | https://www.mdpi.com/2077-0472/15/14/1524 |
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