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

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Bibliographic Details
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
Description
ISSN:1664-462X
DOI:10.3389/fpls.2022.821717