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Wheat Spike Detection and Counting in the Field Based on SpikeRetinaNet.

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Title: Wheat Spike Detection and Counting in the Field Based on SpikeRetinaNet.
Authors: Wen C; College of Information and Technology, Jilin Agricultural University, Changchun, China.; Institute for the Smart Agriculture, Jilin Agricultural University, Changchun, China., Wu J; College of Food, Agricultural and Natural Resource Sciences, University of Minnesota, Paul, MN, United States., Chen H; College of Food, Agricultural and Natural Resource Sciences, University of Minnesota, Paul, 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 X; College of Information and Technology, Jilin Agricultural University, Changchun, China.; Institute for the Smart Agriculture, Jilin Agricultural University, Changchun, China., Li Z; College of Information and Technology, Jilin Agricultural University, Changchun, China.; Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun, China., Yang C; College of Food, Agricultural and Natural Resource Sciences, University of Minnesota, Paul, MN, United States.
Source: Frontiers in plant science [Front Plant Sci] 2022 Mar 03; Vol. 13, pp. 821717. Date of Electronic Publication: 2022 Mar 03 (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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  Data: <searchLink fieldCode="AU" term="%22Wen+C%22">Wen C</searchLink>; College of Information and Technology, Jilin Agricultural University, Changchun, China.; Institute for the Smart Agriculture, Jilin Agricultural University, Changchun, China.<br /><searchLink fieldCode="AU" term="%22Wu+J%22">Wu J</searchLink>; College of Food, Agricultural and Natural Resource Sciences, University of Minnesota, Paul, MN, United States.<br /><searchLink fieldCode="AU" term="%22Chen+H%22">Chen H</searchLink>; College of Food, Agricultural and Natural Resource Sciences, University of Minnesota, Paul, MN, United States.<br /><searchLink fieldCode="AU" term="%22Su+H%22">Su H</searchLink>; College of Information and Technology, Jilin Agricultural University, Changchun, China.; Institute for the Smart Agriculture, Jilin Agricultural University, Changchun, China.<br /><searchLink fieldCode="AU" term="%22Chen+X%22">Chen X</searchLink>; College of Information and Technology, Jilin Agricultural University, Changchun, China.; Institute for the Smart Agriculture, Jilin Agricultural University, Changchun, China.<br /><searchLink fieldCode="AU" term="%22Li+Z%22">Li Z</searchLink>; College of Information and Technology, Jilin Agricultural University, Changchun, China.; Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun, China.<br /><searchLink fieldCode="AU" term="%22Yang+C%22">Yang C</searchLink>; College of Food, Agricultural and Natural Resource Sciences, University of Minnesota, Paul, MN, United States.
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  Data: <searchLink fieldCode="JN" term="%22101568200%22">Frontiers in plant science</searchLink> [Front Plant Sci] 2022 Mar 03; Vol. 13, pp. 821717. <i>Date of Electronic Publication: </i>2022 Mar 03 (<i>Print Publication: </i>2022).
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        Value: 10.3389/fpls.2022.821717
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              Text: 2022 Mar 03
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