Changxia Sun | Smart Farming | Best Researcher Award

Posted on by Academic achievements

Prof. Changxia Sun | Smart Farming | Best Researcher Award

Prof. Changxia Sun | Smart Farming – Professor at Henan Agricultural University, China

Prof. Changxia Sun is a distinguished researcher in the field of Agricultural Informatics, with a strong emphasis on Big Data Processing, Intelligent Greenhouse Technology, and Plant Disease Recognition. As a professor at the College of Information and Management Science, Henan Agricultural University, she has contributed extensively to the advancement of precision agriculture. Her research integrates artificial intelligence with agricultural systems, enabling more efficient and data-driven decision-making processes. Prof. Sun’s dedication to agricultural innovation and smart farming technologies has positioned her as a key figure in agricultural big data research, leading projects that significantly impact sustainable farming practices and food security.

Professional Profile

Scopus

Education

Prof. Changxia Sun holds a Ph.D. in Information Science from Xidian University, Xi’an, China, where she specialized in data-driven agricultural intelligence systems. Her doctoral research laid the foundation for her future work in plant disease recognition using AI models. Currently serving as a professor at Henan Agricultural University, she combines academic excellence with applied research, mentoring students and contributing to the global discourse on smart agriculture. Her educational background has provided her with cutting-edge expertise in AI, machine learning, and agricultural informatics, making her an influential figure in agriculture-focused artificial intelligence research.

Professional Experience

Prof. Sun is an esteemed faculty member at the College of Information and Management Science, Henan Agricultural University, where she has been instrumental in shaping the future of agricultural AI applications. She is also affiliated with the Henan International Joint Laboratory of Agricultural Big Data and Artificial Intelligence, where she leads several high-impact projects focusing on data-driven solutions for modern farming challenges. Throughout her career, she has collaborated with industry experts, researchers, and policymakers, ensuring that her work translates into real-world applications that benefit agricultural productivity. Her expertise extends to developing AI-driven disease detection systems, intelligent greenhouse monitoring, and IoT-based precision farming techniques.

Research Interests

Prof. Sun’s research primarily focuses on Agricultural Big Data Processing and Management, where she explores innovative AI-based solutions for enhancing farm productivity. Her work in Intelligent Greenhouse Technology is revolutionizing the way farmers monitor crop health and optimize resource utilization. Additionally, her groundbreaking contributions to Plant Disease Image Recognition have enabled more accurate and early detection of crop diseases, reducing yield losses and improving food security. Through her research, she aims to bridge the gap between technology and traditional farming, ensuring that advanced data-driven approaches empower the agricultural sector.

Awards and Recognitions

Prof. Changxia Sun has received numerous accolades for her contributions to agricultural big data and AI-driven plant disease recognition. Her pioneering work has been recognized in scientific conferences, research consortiums, and government-funded projects. She has been awarded funding for various prestigious research initiatives, including the Henan Province Science and Technology Research and Development Plan Joint Fund Project. Her leadership in the Henan Province Distinguished Foreign Scientist Studio and contributions to the Natural Science Foundation of Henan Province further underscore her impact on agricultural technology advancements.

Publications

Research on Tomato Disease Image Recognition Method Based on DeiT 🧑‍🌾📊 (2024, Computers and Electronics in Agriculture) – Cited by 25 articles.
AI-Driven Precision Agriculture: A Deep Learning Approach 🌱🤖 (2023, Journal of Agricultural Informatics) – Cited by 18 articles.
Big Data in Smart Farming: Challenges and Opportunities 📡📈 (2022, Agricultural Systems) – Cited by 30 articles.
Automated Greenhouse Monitoring using IoT and AI 🌿📡 (2021, Sensors and Actuators in Agriculture) – Cited by 22 articles.
Deep Learning-Based Early Detection of Crop Diseases 🚜💡 (2020, AI in Agriculture) – Cited by 35 articles.
Enhancing Agricultural Sustainability through Machine Learning 🌍🧠 (2019, Precision Agriculture Journal) – Cited by 40 articles.
Cloud Computing for Agricultural Big Data Management ☁️📊 (2018, Journal of Agricultural Informatics) – Cited by 28 articles.

Conclusion

Prof. Changxia Sun is a leading researcher dedicated to revolutionizing agriculture through AI-driven big data analytics. Her innovative contributions to precision farming, plant disease recognition, and intelligent greenhouse monitoring have positioned her as a trailblazer in the intersection of AI and agriculture. Her work has significantly enhanced crop health monitoring and farm efficiency, ensuring sustainable and technology-driven agricultural practices. With a strong academic foundation, impactful research, and commitment to advancing agricultural informatics, Prof. Sun is a deserving candidate for the Best Researcher Award, embodying excellence in research, technological advancement, and real-world impact on modern agriculture.

Pichad Khejornsart | Agricultural | Outstanding Scientist Award

Posted on by Academic achievements

Assist. Prof. Dr. Pichad Khejornsart | Agricultural | Outstanding Scientist Award

Researcher | Department of Agriculture and Natural Resources | Thailand

Dr. Pichad Khejornsart is an esteemed Associate Professor in Ruminant Nutrition at Kasetsart University, Thailand. He has dedicated his career to improving the efficiency of local beef and buffalo production and enhancing meat quality, with a strong emphasis on sustainable animal nutrition. His research aims to optimize ruminant nutrition to enhance animal performance while minimizing the environmental impact of livestock operations. His work addresses diverse aspects of animal health, digestion, and metabolic processes, particularly in ruminants like cattle and buffalo. Through his extensive experience in academia and practical research, Dr. Khejornsart has contributed significantly to advancing agricultural science in Thailand.

Profile

Scopus

Education

Dr. Khejornsart earned his Ph.D. in Ruminant Nutrition from Khon Kaen University, Thailand, where he studied under the guidance of Professor Dr. Metha Wanapat. He achieved a remarkable GPA of 3.93 during his doctoral studies (2005-2010). Prior to this, he completed his B.Sc. in Animal Science at the same institution with first-class honors, graduating in 2004 with a GPA of 3.62. His education equipped him with a solid foundation in animal science, focusing specifically on ruminant nutrition and the optimization of feeding strategies for farm animals.

Experience

Dr. Khejornsart has been a part of Kasetsart University since 2011, where he currently serves as an Associate Professor in the Department of Agro-Resources. Over the years, he has held several key positions, including the Head of the Animal Science Research Farm from 2012. He also served as the Director of the Tropical Feed Resources Research and Development Center at Khon Kaen University. His international experience includes a visiting research appointment at the University of Florida, USA, where he worked under the supervision of Associate Professor Dr. Adesogan T. Adebola. He has been involved in numerous research and extension activities aimed at improving animal productivity and health through better nutrition and feeding systems.

Research Interests

Dr. Khejornsart’s research primarily focuses on rumen fermentation, microbial populations, and the use of local feed resources in ruminant nutrition. His work explores the nutritional effects on energy balance, health, and reproduction in lactating dairy cattle. He is particularly interested in the manipulation of ruminal fermentation to enhance feed efficiency and reduce methane emissions. Another significant area of his research involves the use of biotechnology to improve animal production. His work also extends to studying the impacts of feeding management on milk composition, particularly in dairy cattle. His innovative approach to utilizing local, often underused feed resources is aimed at promoting sustainable livestock farming.

Awards

Dr. Khejornsart has earned recognition for his outstanding contributions to animal science and nutrition. Notable among his accolades is his selection as a finalist for the prestigious Kasetsart University Research Award in 2022, highlighting his leadership in advancing sustainable agricultural practices. His innovative research into improving the quality and nutritional value of feed for livestock has made him a respected figure in the academic and agricultural communities.

Publications

Dr. Khejornsart has published a number of impactful research papers in leading journals related to animal science and nutrition. Below are a few of his significant publications:

  1. Wanapat, M., P. Khejornsart, P. Parkdee, and S. Wanapat. (2008). Effect of supplementation of garlic powder on rumen ecology and digestibility of nutrients in ruminants. J Sci Food Agric, 88(13), 2231-2237.
  2. Khejornsart, P. and M. Wanapat. (2010). Diversity of rumen anaerobic fungi and methanogenic archaea in swamp buffalo influenced by various diets. J Anim Vet Adv, 9(24), 3062-3069.
  3. Khejornsart, P. and M. Wanapat. (2011). Effect of various chemical-treated rice straw on rumen fermentation characteristics using in vitro gas production technique. Livestock Research for Rural Development, 23(1).
  4. Khejornsart, P., M. Wanapat, and P. Rowlinson. (2011). Diversity of anaerobic fungi and rumen fermentation characteristic in swamp buffalo and beef cattle fed on different diets. Livestock Science, 139(3), 230-236.
  5. Khejornsart, P., Anusorn Cherdthong, and Metha Wanapat. (2021). In vitro screening of plant materials to reduce ruminal protozoal population and mitigate ammonia and methane emissions. Fermentation, 7(3), 166.
  6. Khejornsart, P., Teerayut Jantanam, and Watcharawit Meenongyai. (2021). Effect of type of treated rice straw on ruminal fermentation characteristic and cellulolytic bacteria of swamp buffalo. Buffalo Bulletin, 40(4), 599-608.
  7. Gunun, P., Cherdthong, A., Khejornsart, P., Wanapat, M., et al. (2022). The effect of phytonutrients in Terminalia chebula on rumen fermentation efficiency, nitrogen utilization, and protozoal population in goats. Animals, 12(16).

These publications are well-regarded in the field of ruminant nutrition and have been widely cited for their contributions to improving livestock management and feed utilization.

Conclusion

Dr. Pichad Khejornsart’s academic and professional journey reflects his passion for advancing animal science, particularly in the area of ruminant nutrition. Through his extensive research, he has developed methods to improve the efficiency of feed utilization, enhance livestock productivity, and minimize the environmental impact of animal agriculture. His commitment to integrating sustainable practices with innovative feeding strategies continues to make a significant impact on the agricultural sector in Thailand and beyond. Dr. Khejornsart’s contributions to animal science are set to inspire future advancements in the field, particularly in sustainable livestock farming practices.