Thainna Waldburger | Agronomy | Best Researcher Award

Published on by Botany Scientist

Dr. Thainna Waldburger | Agronomy | Best Researcher Award

Wissenschaftliche Technische Mitarb at Digital Group, Agroscope Tänikon | Switzerland

Dr. Thainna Waldburger is a Swiss-Brazilian researcher at the Digital Group, Agroscope Tänikon, Switzerland, whose scientific contributions in precision agriculture and environmental sustainability have earned her recognition as an emerging leader in agronomy. With a Ph.D. from ETH Zurich focusing on the use of plant water status indicators to optimize cacao and apple cropping systems, she integrates environmental science and technology to address climate adaptation challenges. Her professional experience spans over eight years of research in smart farming, soil management, GIS analysis, and remote sensing, collaborating with major partners such as Nestlé, Syngenta, and CSEM to develop innovative agricultural practices that enhance water efficiency and crop productivity. Dr. Waldburger’s research interests include precision farming, environmental monitoring, resource-efficient agriculture, and sustainable land-use planning. Skilled in GIS, data analysis, sensor applications, and project coordination, she effectively translates scientific insights into practical farming solutions. Her scholarly record includes six publications with 18 citations and an h-index of 2, reflecting her growing impact in the field. Recognized for her interdisciplinary expertise and commitment to sustainable development, Dr. Waldburger continues to advance scientific innovation that supports global agricultural resilience—making her an outstanding candidate for the Best Researcher Award.

Profile : Scopus | ORCID

Featured Publications

Automated irrigation of apple trees based on dendrometer sensors
Citations: 2

Growing cocoa in semi-arid climate and the rhythmicity of stem growth and leaf flushing determined by dendrometers

Transversal distribution of a spray drone applying different nozzles and measuring methods

Yasai Li | Agronomy | Best Researcher Award

Published on by Botany Scientist

Ms. Yasai Li | Agronomy | Best Researcher Award

Hubei Key Laboratory of Animal Embryo and Molecular Breeding, Institute of Animal Husbandry and Veterinary, Hubei Academy of Agricultural Sciences | China

Ms. Yasai Li is a dedicated researcher in the field of Agronomy, currently contributing to advanced studies at the Hubei Key Laboratory of Animal Embryo and Molecular Breeding, Institute of Animal Husbandry and Veterinary, Hubei Academy of Agricultural Sciences, China. She earned her Ph.D. in Agronomy with a focus on crop productivity, stress physiology, and molecular breeding, equipping her with a strong foundation in both theoretical and applied plant sciences. Throughout her professional career, she has engaged in nationally funded research projects and international collaborations, working on improving crop yield, resistance, and sustainability. Her research interests include molecular breeding strategies, crop stress tolerance, and sustainable agricultural innovation, areas highly relevant to global food security. She has developed strong research skills in molecular genetics, bioinformatics, experimental design, and advanced agronomic techniques, complemented by her ability to collaborate across multidisciplinary teams. Ms. Li has published in SCI and Scopus-indexed journals, presented at recognized scientific conferences, and received recognition for her impactful contributions, positioning her as an emerging leader in agricultural sciences. With her commitment to innovation, scientific excellence, and mentorship, Ms. Yasai Li is poised to continue making meaningful contributions that advance agronomy research and support sustainable global agriculture.

Profile : ORCID

Featured Publications

Zhang, R., Wu, H., Li, Y., Huang, Z., Yin, Z., Yang, C.-X., & Du, Z.-Q. (2023). GWLD: An R package for genome-wide linkage disequilibrium analysis. G3: Genes|Genomes|Genetics, 13(9), jkad154.

Li, Y., Chen, X., Chen, D., Wu, J., Chen, T., Qiao, M., Peng, X., Mei, S., & Feng, Y. (2023). MCEE promotes intramuscular fat deposition in pigs through regulating mitochondrial function.

Tang, J., Liu, C., Wang, Z., Zhu, T., Zhong, M., Li, Y., & Chen, M. (2025). Neuropeptide Y as a prognostic biomarker in electrical storm: Editorial comment on the reappraisal of neuropeptide Y as biomarker and therapeutic target in arrhythmic disorders. JACC: Clinical Electrophysiology, 11(4).