In April 2026, we are planning to publish a special issue on “ AI in Plant Phenotyping: From Cells to Fields” in the Journal of Zhejiang University-SCIENCE-B (Biomedicine & Biotechnology), JZUS-B for short. This special issue is organized by Profs. Zhenhai Li, Kun Wang, and Xuping Feng as Guest Editors-in-Chief, with the aim of advancing the frontiers of research in this area. To attract global attention, the special issue will be made available on SpringerLink and PMC, and indexed by SCI-E, MEDLINE/PubMed, Scopus, etc.

Key Topics:

Crop phenotyping refers to the quantitative characterization of plant traits (e.g., morphology, physiology, biochemistry) across scales, from cellular structures to field-level growth dynamics. Integrating AI, big data, and advanced imaging technologies, multi-scale phenotyping enables precision agriculture by bridging genetic potential with environmental interactions:

Cellular and Tissue-Level Phenotyping: Microscopy & Molecular Imaging, Omics Integration;

Plant and field-scale Phenotyping: High-Throughput Platforms, Drone & Satellite Synergy;

AI-Driven Data Analytics: Image Recognition, Monitoring Modeling;

Big Data Platforms: Multi-Source Fusion, Cloud Computing;

Case Studies & Challenges: Ecological Unmanned Farms, Data Standardization;

Future Directions: Multi-Omics Fusion, Edge AI, Global Collaboration.

Multi-scale phenotyping is revolutionizing agriculture by decoding the "language" of plants from cells to ecosystems. With AI and big data, it bridges lab research to field practices, offering sustainable solutions for global food security.

We warmly welcome submissions on the above topics from all over the world. Original studies will be complemented by a series of Reviews, Research Articles, Correspondence, etc.

About Us:

JZUS-Bis an international peer-reviewed journal co-published by Springer & Zhejiang University Press, which has entered JCR Q1 (2024 JIF=4.7)and CAS Q2, and ranks Top 2% in Scopus. JZUS-B aims to present the latest developments and achievements in the broad area of Biotechnology, and has a broad audience including experts in the field all over world. More information can be found at journal website:

Submission:

All manus are encouraged to submit before Oct 31, 2025and early submission is greatly appreciated.

All manus should be submitted via:

When submitting, please mark “ AIPP” (short for the special issue title “AI in Plant Phenotyping: From Cells to Fields”) before the article title, in order for us to collect the information correctly, and can also contact editors to tell the manu ID.

Manu guidelines can be found at the journal website:

All submissions must be written in English and will undergo rigorous international peer review. Many thanks for your kind understanding.

Guest Editors-in-Chief:

Zhenhai Li, Ph.D., Professor

Shandong University of Science and Technology

lizhenhai@sdust.edu.cn

Dr. Li has fifteen years of research experience in agriculture remote sensing and crop growth models. He has led or participated in six NSFC grants, three the UK-China Newton Agri-Tech project, two China-ESA Dragon 4&5&6 Programs, etc. Dr. Li has published extensively in leading journals such as Remote Sensing of Environment, European Journal of Agronomy, and Computers and Electronics in Agriculture.

Kun Wang, Ph.D., Associate Researcher

State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences (AIR-CAS)

wangk@aircas.ac.cn

Dr. Wang’s research program focuses on advancing precision agriculture through innovative coupling of mechanistic crop growth models with high-throughput phenotyping platforms. As Principal Investigator (PI), she has secured competitive funding for 10+ national-level research projects, including flagship grants from the National Key R&D Program of China (NKPs) and the National Natural Science Foundation of China (NSFC). Her scholarly output includes 20+ SCI-indexed publications in top-tier journals (e.g., Agricultural and Forest Meteorology, Chemical Engineering Journal), with first/corresponding authorship on key methodological breakthroughs.

Xuping Feng, Ph.D., Associate Researcher

Zhejiang University

Dr. Feng is specializing in plant phenomics and digital agriculture. Her research focuses on leveraging multi-level remote sensing technologies to monitor crop health, predict yields, and optimize agricultural practices. Dr. Feng has published extensively in leading journals such as Nature Plants, ISPRS Journal of Photogrammetry and Remote Sensing, and Computers and Electronics in Agriculture. Her innovative work has been recognized with prestigious awards, including the Gold Award in the FAO Global Agri-Innovation Competition and the First Prize of Zhejiang Provincial Science and Technology Progress Award.

Contact:

Qing YE Ph.D., Managing Editor

Journal of Zhejiang University-SCIENCE B

Email: jzus_yq@zju.edu.cn

关于本刊

《浙江大学学报(英文版)B辑：生物医学与生物技术》，简称JZUS-B，生物类综合英文月刊。JZUS-B自2008年起被SCI-E收录，最新影响因子为 4.7，进入中科院生物学二区，同时被MEDLINE/PubMed、PMC、Scopus、BA、BIOSIS Previews等国内外知名平台检索。