摘要 : The past few years have witnessed significant progress in emerging disease detection techniques foraccurately and rapidly tracking rice diseases and predicting potential solutions. In this review we focuson image processing techni... 展开
作者 | Ruyue Li Sishi Chen Haruna Matsumoto Mostafa Gouda Yusufjon Gafforov Mengcen Wang Yufei Liu |
---|---|
作者单位 | |
期刊名称 | 《aBIOTECH》 |
期刊英文名称 | 《生物技术通报(英文版)》 |
页码/总页数 | P.359-371 / 13 |
语种/中图分类号 | 汉语 / S435.111 |
关键词 | Artificial intelligence Rice disease Model algorithms Imaging technology Plant-pathogen interactions High-throughput data |
DOI | 10.1007/s42994-023-00126-4 |
基金项目 | supported by the Key R&D Plan of Zhejiang Province(2021C02057,2020C02002);the National Key R&D Program of China(2021YFE0113700);the International S&T Cooperation Program of China(2019YFE0103800);Fundamental Research Funds for the Zhejiang Provincial Universities[2021XZZX024];Zhejiang University Global Partnership Fund.We also appreciate Prof.Zhonghua Ma(Institute of Biotechnology,Zhejiang University)for his insightful advice on this work. |