Prof. Young-Son Cho | Climate research | Distinguished Scientist Award

Prof. Young-Son Cho | Climate research | Distinguished Scientist Award

Prof. Young-Son Cho | Professor | Gyeongsang National University | South Korea

Academic Background

Prof. Young-Son Cho completed his B.Sc. in Agriculture at Gyeongsang National University in Korea, followed by an M.Sc. in Crop Science at Shimane University in Japan under the Monbukagakusho Scholarship. He earned his Ph.D. in Crop Science from Gyeongsang National University and further advanced his research as a JSPS Research Fellow at Ehime University in Japan. Over his career, he has accumulated a substantial body of work with over three hundred citations, more than twenty-five documents, and a strong h-index reflecting the impact and relevance of his research, as recorded in Scopus and Google Scholar.

Research Focus

Prof. Cho’s research centers on sustainable and eco-friendly crop cultivation. He focuses on developing low-carbon water management technologies in paddy rice, enhancing climate resilience in soybean production, and quantifying abiotic stress impacts in upland crops such as potato and sweet potato through advanced imaging techniques. His work integrates precision agriculture, machine learning, and explainable AI to optimize crop management and mitigate climate-related risks.

Work Experience

Prof. Cho began his professional career as a crop physiologist at Yeongnam Agricultural Research Institute, where he contributed to direct-seeded rice cultivation research. He later joined the Rural Development Administration as a research scientist, followed by multiple roles in advisory and field consulting capacities. He has served in senior specialist positions and directed eco-friendly agricultural programs, including certification centers for agricultural products. His international exposure includes research collaboration in the United States and Japan, enhancing his global perspective in crop science and sustainable agriculture.

Key Contributions

Prof. Cho has made significant contributions in applying AI and remote sensing technologies to monitor and classify crop water stress, enabling early detection of abiotic stress and improved yield management. He has pioneered low-carbon agricultural practices, optimized soybean cultivation under climate variability, and developed industrial insect rearing systems for agricultural applications. His work has advanced both the scientific understanding and practical implementation of eco-friendly and resilient crop systems.

Awards & Recognition

Prof. Cho has been recognized for his leadership and expertise in crop science, particularly in the integration of sustainable agricultural practices and innovative research methodologies. His contributions to eco-friendly agriculture and climate-adaptive cultivation have earned him professional accolades and institutional recognition.

Professional Roles & Memberships

Prof. Cho has held influential roles, including directing agricultural product certification centers, chairing subcommittees on education and research integration, and leading carbon neutrality and green growth initiatives. He has also contributed to professional societies, editorial boards, and advisory committees, reflecting his active engagement in shaping agricultural policy and research direction.

Profile

Scopus

Featured Publications

Choi, J. W., Cho, S. B., Hidayat, M. S., & Kim, G. Application of multimodal data fusion and explainable AI for classifying water stress in sweet potatoes. Frontiers in Plant Science.

Park, M. S., Faqeerzada, A., Jang, S. H., & Cho, B. K. Detection of abiotic stress in potato and sweet potato plants using hyperspectral imaging and machine learning. Plants.

Cho, S. B., Hidayat, M. S., Choi, J. W., & Kim, G. Recent methods for evaluating crop water stress using AI techniques: A review. Sensors.

Park, M. S., Kim, H., Lee, H., & Cho, B. K. Determination of water stress in field crops using hyperspectral imaging. Conference Paper.

Cho, S. B., Hidayat, M. S., & Choi, J. W. Early detection of tomato gray mold based on multispectral imaging and machine learning. Sensors.

Impact Statement / Vision

Prof. Cho envisions advancing sustainable agriculture through precision crop management and innovative technologies. His work aims to enhance food security, mitigate climate impact, and promote eco-friendly cultivation practices globally, bridging scientific research with practical agricultural solutions.