Dr. Shuihuan Guo | Agriculture Technology | Research Excellence Award

Dr. Shuihuan Guo | Agriculture Technology | Research Excellence Award

Henan Agricultural University | China

Dr. Shuihuan Guo is a food science researcher specializing in fruit and vegetable storage, postharvest physiology, and the molecular biology of horticultural crops, with a strong focus on grapes. His work explores the mechanisms underlying stress responses, anthocyanin biosynthesis, quality formation, and the regulation of plant metabolic pathways that influence fruit development and postharvest quality. He has contributed significantly to understanding how environmental cues, hormonal signaling pathways, and gene regulatory networks shape the biochemical and physiological traits of grape berries under both natural and controlled conditions. His research particularly emphasizes drought stress, abscisic acid (ABA) signaling, melatonin biosynthesis, and microRNA-mediated regulatory mechanisms related to berry coloration, metabolite accumulation, and stress tolerance in different grape genotypes. Through integrating advanced molecular techniques with applied cultivation strategies, he aims to enhance fruit quality, improve resilience to abiotic stress, and support sustainable viticulture practices. His scientific contributions are recognized through measurable academic impact, including Scopus metrics of 219 citations, 15 documents, and an h-index of 8, supported by growing citation activity across Google Scholar as well. His publications appear in high-impact journals in horticulture, food chemistry, and plant molecular biology, reflecting his collaborative work and his commitment to advancing postharvest and viticultural science. Overall, his research bridges fundamental molecular insights with practical applications to support high-quality production and efficient cultivation of grapes and other horticultural crops.

Publication Profile

Scopus

Featured Publications 

Guo, S., Zhang, M., Feng, M., et al. (2024). miR156b-targeted VvSBP8/13 functions downstream of the ABA signal to regulate anthocyanin biosynthesis in grapevine fruit under drought. Horticulture Research, 11, 293.

Guo, S., Xu, T., Shi, T., et al. (2020). Cluster bagging promotes melatonin biosynthesis in the berry skins of Vitis vinifera cv. Cabernet Sauvignon and Carignan during development and ripening. Food Chemistry, 305, 125502.

Guo, S., Xu, T., Ju, Y., et al. (2023). MicroRNAs behave differently to drought stress in drought-tolerant and drought-sensitive grape genotypes. Environmental and Experimental Botany, 207, 105233–105248.

Guo, S., Yang, B., Wang, X., et al. (2021). ABA signaling plays a key role in regulated deficit irrigation-driven anthocyanins accumulation in ‘Cabernet Sauvignon’ grape berries. Environmental and Experimental Botany, 181, 104290.

Zhiwei Tian | Agricutuiral Robotics | Best Researcher Award

Mr. Zhiwei Tian | Agricutuiral Robotics | Best Researcher Award

Assistannt Professor, Chinese Academy of Agriculture Institute of Urban Agriculture, China

Mr. Zhiwei Tian is an Assistant Professor at the Intelligent Gardening Equipment Research Center, Institute of Urban Agriculture, Chinese Academy of Agricultural Sciences. With a passion for agricultural robotics, he has made significant contributions to the field through innovative research and development.

Profile

Google Scholar

Education: 🎓

Zhiwei Tian holds a Bachelor’s degree from Sichuan Agricultural University (2013-2017) and a Master’s degree from the Nanjing Research Institute for Agricultural Mechanization, Ministry of Agriculture and Rural Affairs (2017-2020). He is currently pursuing a Ph.D., which he started in 2021.

Experience: 📚

With over 7 years of experience in the field, Zhiwei Tian has worked extensively on agricultural robotic systems. His work includes target precise recognition algorithms and the design of adaptive end-effectors. He has served as an engineer during his Master’s studies and now as an Assistant Professor since July 2020.

Research Interests: 🔍

His primary research interests lie in agricultural robotics, focusing on machine vision-based target detection and the development of robotic systems for complex agricultural environments. His notable innovations include the RTF-YOLO network model for strawberry detection and the YCCB-YOLO algorithm for citrus fruit detection.

Awards: 🏆

Zhiwei Tian’s work has earned him multiple recognitions, including the “High Download, High Citation” award from CNKI in 2023. He has been invited to speak at prestigious conferences such as the FAO Youth Scientist Development Forum and the International Tropical Fruit Symposium.

Publications and Citations

“Detection of Strawberry Using RTF-YOLO Network Model” (2022, Agronomy)
Cited by 20 articles
Detection of Strawberry Using RTF-YOLO Network Model

“Recognition of Young Citrus Fruits Using YCCB-YOLO Algorithm” (2023, Applied Sciences)
Cited by 15 articles
Recognition of Young Citrus Fruits Using YCCB-YOLO Algorithm

“Design and Application of a Four-Needle Mechanical Gripper for Transplanting Plug Seedlings” (2021, Agriculture)
Cited by 10 articles
Design and Application of a Four-Needle Mechanical Gripper for Transplanting Plug Seedlings