Changxia Sun | Smart Farming | Best Researcher Award

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.

Fevzi ALTUNER | Field Crops Cultivation and Breeding Science Field | Best Researcher Award

Dr. Fevzi ALTUNER | Field Crops Cultivation and Breeding Science Field | Best Researcher Award

Fevzi ALTUNER | Field Crops Cultivation and Breeding Science Field at Assistance Professor Doctor at Van Yuzuncu Yil University, Gevas Vocational School, Plant and Animal Production Department in Turkey

Dr. Fevzi Altuner is a highly regarded Assistant Professor at Van Yüzüncü Yıl University, specializing in Plant and Animal Production within the Department of Plant and Animal Production at Gevaş Vocational School. With over three decades of experience, Dr. Altuner’s career began as an Agricultural Technician, evolving through several managerial roles in the Ministry of Agriculture before entering academia. Since joining Van Yüzüncü Yıl University, he has significantly contributed to advancing agricultural science, particularly in Field Crops Cultivation and Breeding. His research outputs include numerous high-impact journal articles, book chapters, and conference presentations, and his work is widely recognized and cited by peers in the field.

Profile Verification

ORCID

Education

Dr. Altuner’s educational journey is rooted deeply in agricultural sciences, culminating in a Ph.D. from Van Yüzüncü Yıl University in the Department of Field Crops in 2017. His advanced training in field crops cultivation and breeding equipped him with essential knowledge and skills to tackle challenges in sustainable agriculture. This education laid a solid foundation for his teaching and research work, allowing him to blend academic rigor with practical applications in agricultural development.

Experience

Dr. Altuner’s professional career spans a broad spectrum of roles within agricultural science and management. After starting as an Agricultural Technician in 1993, he assumed various managerial positions in the Ministry of Agriculture, demonstrating strong leadership and expertise in agricultural policies and practices. His transition to academia in 2018 as an Assistant Professor allowed him to channel his expertise into teaching, research, and departmental leadership. Currently, as the head of the Department of Plant and Animal Production, he oversees educational and research initiatives, mentors students, and contributes to the broader academic community through collaborative projects and publications.

Research Interest

Dr. Altuner’s research primarily focuses on Field Crops Cultivation and Breeding, with an emphasis on cereal and grain legumes. His interests extend to investigating the biochemical properties and genetic potential of these crops under various environmental conditions, aiming to enhance yield and resilience. His recent studies explore the adaptation abilities of barley genotypes, effects of salinity on seed germination, and technological characteristics of beans, all aimed at improving crop quality and productivity. Dr. Altuner’s work reflects his commitment to addressing food security challenges and promoting sustainable agricultural practices.

Awards

Throughout his career, Dr. Altuner has received several accolades for his contributions to agricultural science. His innovative research has garnered institutional recognition and funding, allowing him to lead five university-supported projects. His commitment to scientific excellence is further evidenced by his high citation count and H-index scores, underscoring the impact and value of his work within the scientific community.

Publications

Altuner, F. (2024). “Antioxidant activity and biochemical contents of some cereal microgreens.” Cogent Food & Agriculture. Cited by 10.

Altuner, F., et al. (2024). “Determination of Polyphenolic Contents in Some Cereals and Legume Microgreens by Dualex Measurements.” Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi. Cited by 15.

Altuner, F., et al. (2023). “Exploring Adaptation Abilities of Barley Genotypes in Van Growing Conditions for Biomass and Grain Yield.” Yüzüncü Yıl Üniversitesi Tarım Bilimleri Dergisi. Cited by 8.

Altuner, F., et al. (2022). “Kimyasal Gübre ve Rizobakteri (PGPR) Kombinasyonlarının Arpa Çeşitlerinde Verim ve Verim Özellikleri Üzerine Etkileri.” MAS Journal of Applied Sciences. Cited by 12.

Altuner, F., et al. (2022). “Determination of Quality and Technological Characteristics of Some Bean Varieties.” Mustafa Kemal Üniversitesi Tarım Bilimleri Dergisi. Cited by 9.

Altuner, F. (2022). “Determination of Yield Components of Some Oat Cultivars in Eastern Anatolia by Correlation Analysis.” Polish Journal of Environmental Studies. Cited by 6.

Altuner, F., et al. (2021). “Germination Traits and Relationships among Traits of Local Wheat and Barley Populations in Lake Van Basin.” Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi. Cited by 11.

Conclusion

In summary, Dr. Fevzi Altuner’s distinguished career in agricultural research and education has made substantial contributions to the fields of plant and animal production. His extensive research on field crops and cereals has not only expanded scientific knowledge but also provided practical solutions to challenges in sustainable agriculture. With a commitment to academic excellence, a strong citation record, and significant teaching and mentorship roles, Dr. Altuner exemplifies the qualities of a Best Researcher Award candidate. His accomplishments make him a highly deserving contender for this recognition, as he continues to inspire advancements in agricultural science for future generations.