关于召开2025年度Frontiers in Plant Science可持续智慧植保专栏颁奖仪式暨期刊论坛的通知

作者

继2025年首届可持续智慧植保国际学术会议（ICSIP 2025）在南京成功举办之后，为持续激励学术共同体建设，Frontiers in Plant Science期刊可持续智慧植保专栏于今年开展年度评优工作。本次评选基于双重目的：一是感谢并表彰编委在期刊发展和推动学科发展方面所做出的专业贡献，二是遴选高影响力研究成果，为青年学者树立学术标杆。评选标准方面，“Outstanding Editor”奖项主要依据2025年度编委工作的综合数据，“Best Article”奖项则基于2023年度发表的文章截止统计时的浏览量、下载量及引用表现。经严格核算，现将2025年度Frontiers in Plant Science期刊可持续智慧植保专栏 Outstanding Editor与Best Article获奖名单正式公布（获奖名单见文末）。

2026年8月11日-13日，“2026 CCF数字农业分会年会暨第四届 CCF数字农业大会”期间，同期召开“可持续智慧植保期刊论坛”。论坛现场将颁发2025年度Frontiers in Plant Science期刊可持续智慧植保专栏Outstanding Editor证书和2023年度Best Article证书。诚挚邀请各位获奖编委和获奖文章作者莅临出席颁奖仪式，共同见证这一荣誉时刻。

除颁奖环节外，为丰富论坛学术交流，现面向获奖编委、获奖论文作者以及相关领域征集8-10位报告人，讲者信息将同步更新至论坛官方网站，征集截止日期为2026年8月1日。

此外，为共同商讨期刊未来发展方向，本次论坛期间还将组织召开专栏编委会工作会议，诚邀各位编委拨冗出席并积极参与讨论。

相关获奖信息及编委会具体安排已通过邮件发送至各位学者，敬请您留意查收，并及时反馈参会意向。如有意参与本次论坛或有任何疑问，请联系戴芳老师（电话/微信：13912964288）。请持续关注会议官网（https://ccf.org.cn/2026CCFDA）及论坛官网（https://ccf.org.cn/2026CCFDA/news_d_3123），获取最新动态。

期待在内蒙古与您相见！

获奖名单如下：

Outstanding Editors：

    1. Dr.Xing Yang，Anhui Science and Technology University, China
    2. Dr.Fan Yang, Jiangsu Normal University, China
    3. Dr.Chengcheng Chen, College of Computer Science, Shenyang Aerospace University, China
    4. Dr.Pei Wang, Southwest University, China
    5. Dr.Wen-Hao Su, China Agricultural University, China
    6. Dr.Alvaro Fuentes, Jeonbuk National University, Republic of Korea
    7. Dr.Ning Yang, Jiangsu University,China
    8. Dr.ELIO ROMANO, Centro di ricerca per l’Ingegneria e le Trasformazioni agroalimentari (CREA-IT), Italy
    9. Dr.Kai Huang, Institute of Agricultural Facilities and Equipment, Jiangsu Academy of Agricultural Sciences, China
    10. Dr.Jun Ni, Laboratory of Intelligent Control and Robotics, Shanghai University of Engineering Science, China

Best Articles：

    1. Khan F, Zafar N, Tahir MN, Aqib M, Waheed H and Haroon Z (2023) A mobile-based system for maize plant leaf disease detection and classification using deep learning. Front. Plant Sci. 14:1079366. doi: 10.3389/fpls.2023.1079366
    2. Nahiduzzaman M, Chowdhury MEH, Salam A, Nahid E, Ahmed F, Al-Emadi N, Ayari MA, Khandakar A and Haider J (2023) Explainable deep learning model for automatic mulberry leaf disease classification. Front. Plant Sci. 14:1175515. doi: 10.3389/fpls.2023.1175515
    3. Batz P, Will T, Thiel S, Ziesche TM and Joachim C (2023) From identification to forecasting: the potential of image recognition and artificial intelligence for aphid pest monitoring. Front. Plant Sci. 14:1150748. doi: 10.3389/fpls.2023.1150748
    4. Thilakarathne NN, Bakar MSA, Abas PE and Yassin H (2023) Towards making the fields talks: A real-time cloud enabled IoT crop management platform for smart agriculture. Front. Plant Sci. 13:1030168. doi: 10.3389/fpls.2022.1030168
    5. Hu Y, Ma B, Wang H, Zhang Y, Li Y and Yu G (2023) Detecting different pesticide residues on Hami melon surface using hyperspectral imaging combined with 1D-CNN and information fusion. Front. Plant Sci. 14:1105601. doi: 10.3389/fpls.2023.1105601
    6. Wang J, Huang Y, Huang L, Dong Y, Huang W, Ma H, Zhang H, Zhang X, Chen X and Xu Y (2023) Migration risk of fall armyworm (Spodoptera frugiperda) from North Africa to Southern Europe. Front. Plant Sci. 14:1141470. doi: 10.3389/fpls.2023.1141470
    7. Sun X, Yang Z, Su P, Wei K, Wang Z, Yang C, Wang C, Qin M, Xiao L, Yang W, Zhang M, Song X and Feng M (2023) Non-destructive monitoring of maize LAI by fusing UAV spectral and textural features. Front. Plant Sci. 14:1158837. doi: 10.3389/fpls.2023.1158837
    8. Xu M, Kim H, Yang J, Fuentes A, Meng Y, Yoon S, Kim T and Park DS (2023) Embracing limited and imperfect training datasets: opportunities and challenges in plant disease recognition using deep learning. Front. Plant Sci. 14:1225409. doi: 10.3389/fpls.2023.1225409.
    9. Liu J, Zhu Y, Song L, Su X, Li J, Zheng J, Zhu X, Ren L, Wang W and Li X (2023) Optimizing window size and directional parameters of GLCM texture features for estimating rice AGB based on UAVs multispectral imagery. Front. Plant Sci. 14:1284235. doi: 10.3389/fpls.2023.1284235
    10. Dai M, Sun W, Wang L, Dorjoy MMH, Zhang S, Miao H, Han L, Zhang X and Wang M (2023) Pepper leaf disease recognition based on enhanced lightweight convolutional neural networks. Front. Plant Sci. 14:1230886. doi: 10.3389/fpls.2023.1230886
    11. Wang Y, Zhao R, Zhou X, Zhang X, Zhao G and Zhang F (2023) Prediction of potential distribution areas and priority protected areas of Agastache rugosa based on Maxent model and Marxan model. Front. Plant Sci. 14:1200796. doi: 10.3389/fpls.2023.1200796