Pest-YOLO: A model for large-scale multi-class dense and tiny pest detection and counting.
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| Title: | Pest-YOLO: A model for large-scale multi-class dense and tiny pest detection and counting. |
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| Authors: | Wen C; College of Information and Technology, Jilin Agricultural University, Changchun, China.; Institute for the Smart Agriculture, Jilin Agricultural University, Changchun, China., Chen H; College of Information and Technology, Jilin Agricultural University, Changchun, China., Ma Z; College of Information and Technology, Jilin Agricultural University, Changchun, China., Zhang T; College of Information and Technology, Jilin Agricultural University, Changchun, China., Yang C; College of Food, Agricultural and Natural Resource Sciences, University of Minnesota, Twin Cities, MN, United States., Su H; College of Information and Technology, Jilin Agricultural University, Changchun, China.; Institute for the Smart Agriculture, Jilin Agricultural University, Changchun, China., Chen H; College of Information and Technology, Jilin Agricultural University, Changchun, China.; Institute for the Smart Agriculture, Jilin Agricultural University, Changchun, China. |
| Source: | Frontiers in plant science [Front Plant Sci] 2022 Oct 25; Vol. 13, pp. 973985. Date of Electronic Publication: 2022 Oct 25 (Print Publication: 2022). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101568200 Publication Model: eCollection Cited Medium: Print ISSN: 1664-462X (Print) Linking ISSN: 1664462X NLM ISO Abbreviation: Front Plant Sci Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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