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Meta-learning shows great potential in plant disease recognition under few available samples.
Wu, Xue; Deng, Hongyu; Wang, Qi; Lei, Liang; Gao, Yangyang; Hao, Gefei.
Affiliation
  • Wu X; National Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of  Education, Center for Research and Development of Fine Chemicals, State Key Laboratory of Public Big Data, Guizhou University, Guiyang, 550025, Guizhou, China.
  • Deng H; National Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of  Education, Center for Research and Development of Fine Chemicals, State Key Laboratory of Public Big Data, Guizhou University, Guiyang, 550025, Guizhou, China.
  • Wang Q; National Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of  Education, Center for Research and Development of Fine Chemicals, State Key Laboratory of Public Big Data, Guizhou University, Guiyang, 550025, Guizhou, China.
  • Lei L; School of Physics & Optoelectronic Engineering, Guangdong University of Technology, Guangzhou, 550000, Guangzhou, China.
  • Gao Y; National Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of  Education, Center for Research and Development of Fine Chemicals, State Key Laboratory of Public Big Data, Guizhou University, Guiyang, 550025, Guizhou, China.
  • Hao G; National Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of  Education, Center for Research and Development of Fine Chemicals, State Key Laboratory of Public Big Data, Guizhou University, Guiyang, 550025, Guizhou, China.
Plant J ; 114(4): 767-782, 2023 05.
Article de En | MEDLINE | ID: mdl-36883481
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Maladies des plantes Langue: En Journal: Plant J Sujet du journal: BIOLOGIA MOLECULAR / BOTANICA Année: 2023 Type de document: Article Pays d'affiliation: Chine
Texte intégral
Ajouter à My VHL
Imprimer
XML
PubMed Links
Recherche sur Google

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Maladies des plantes Langue: En Journal: Plant J Sujet du journal: BIOLOGIA MOLECULAR / BOTANICA Année: 2023 Type de document: Article Pays d'affiliation: Chine