Prof Dr Xiangyang Yu | Agricultural Sciences | Best Researcher Award

Institue Leader at Institute of Food Saftey and Nutrition, Jiangsu Academy of Agricultural Sciences, China

Dr. Xiangyang Yu is a distinguished researcher and professor with expertise in pesticide eco- and bio-toxicology. He currently serves as the group leader at the Lab of Pesticide Eco- and Bio-Toxicology within the Institute of Food Safety and Nutrition at the Jiangsu Academy of Agricultural Sciences. Additionally, he holds positions as an Affiliate Professor and Graduate Supervisor at Jiangsu University, Guangxi University, and Nanjing Agricultural University.

Publication Profile:🌟👨‍🎓

Scopus
Orcid

Education 🎓:

Ph.D. in Pesticide Science, Northwest Sci-Tech University of Agriculture & Forestry, China (2007)
M.S. in Agro-Entomology and Insect Pest Management, Northwest Agricultural University, China (1997)
B.S. in Plant Protection, Northwest Agricultural University, China (1994)

Professional Experience 💼🌐:

Professor at JAAS (2010-present)
Visiting Scientist at Michigan State University, USA (2010-2011)
Affiliate Program Manager, National Natural Science Foundation of China (2012-2015)
Visiting Scientist at CSIRO Land and Water, Adelaide laboratory (2005, 2006)
Research fellow at JAAS (1997-2005)

Professional Recognition 🏆🎖:

First prize of National Harvest Award for Agriculture, Animal Husbandry and Fisheries (2022)
Second prize of Jiangsu provincial Sci-Tech Award (2021, 2006)
First prize of Jiangsu provincial Agricultural Technology Extension Award (2020)
Third prize of Jiangsu provincial Sci-Tech Award (2014)
Jiangsu provincial 333 High-level Talents
Awarded Crawford Fund of Australia
Outstanding academic backbone of JAAS

Memberships 🤝📚:

Vice Executive Member of the Youth Committee of China Society of Plant Protection
Member of China Society of Entomology Toxicology
Member of China Society of Entomology
Member of China Innovation Team of Risk Assessment for Food and Oil Products

Dr. Xiangyang Yu’s impactful research focuses on the eco-toxicology of pesticides, contributing significantly to the field and earning him several prestigious awards and recognitions.

👩‍🔬 Research Focus:

Dr. Xiangyang Yu’s research focuses on understanding the environmental fate of pesticides and contaminants, particularly in rice plants. His work investigates the uptake kinetics and subcellular distribution of pesticides in rice, shedding light on the potential ecological risks. In addition, his studies delve into the interaction between microplastics and pyrene in rice seedlings. Dr. Yu also contributes to the field of bioremediation, isolating and characterizing strains like Pseudomonas sp. F1 for efficient pesticide degradation in soil-vegetable systems. His multiomics analysis in peach gum reveals insights into plant defense responses against pathogenic fungi. Overall, Dr. Yu’s diverse research enhances our understanding of pesticide behavior in the environment. 🌿🔍

Citations:

Total Citations: 3,480
Total Documents: 3,092
h-index: 98

Publications Top Notes:

Title: A slow-release fertilizer containing cyhalofop-butyl reduces N2O emissions by slowly releasing nitrogen and down-regulating the relative abundance of nirK
- Authors: Zhang, Z., Chen, G., Yu, X., … Ma, H., Wang, J.
- Journal: Science of the Total Environment, 2024, 906, 167493
Title: Foliar Spraying of Chlorpyrifos Triggers Plant Production of Linolenic Acid Recruiting Rhizosphere Bacterial Sphingomonas sp.
- Authors: Li, Y., Feng, F., Mu, Q., … Liu, C., Yu, X.
- Journal: Environmental Science and Technology, 2023, 57(45), pp. 17312–17323
Title: The potential role of subseafloor fungi in driving the biogeochemical cycle of nitrogen under anaerobic conditions
- Authors: Jiang, J.-P., Leng, S., Liao, Y.-F., … Yu, X.-Y., Liu, C.-H.
- Journal: Science of the Total Environment, 2023, 897, 165374
Title: Insight into the effect of microplastics on the adsorption and degradation behavior of thiamethoxam in agricultural soils
- Authors: Hu, M., Huang, L., Wang, Y., Tan, H., Yu, X.
- Journal: Chemosphere, 2023, 337, 139262
Title: Functional characterization of rice (Oryza sativa) thioredoxins for detoxification and degradation of atrazine
- Authors: Ya Ma, L., Lu, Y., Cheng, J., … Li, M., Yu, X.
- Journal: Gene, 2023, 877, 147540

Mr Shivam Yadav: Precision Agriculture

Madan Mohan Malaviya University of Technology, India

Shivam Kumar Yadav is a skilled computer science professional currently pursuing a Master’s in Technology at Madan Mohan Malaviya University of Technology, with a remarkable 8.04 CGPA. His journey began with a Bachelor’s in Technology from the Institute of Technology and Management, where he earned a 6.75 CGPA. As a Graduate Researcher at AI & Drone Design Lab, MMMUT, Shivam is deeply involved in the research and development of machine learning and deep learning models. His responsibilities include integrating these models with IoT devices and deploying them on drones and cloud servers. Notably, he has led the AI team, working on real-world projects, publishing research papers, and collaborating with PhD researchers and industry experts.

Publication Profile:🌟👨‍🎓

🎓 Education:

Master of Technology in Computer Science and Engineering, MMMUT, 2021-2023, CGPA: 8.04
Bachelor of Technology in Computer Science and Engineering, ITM Gorakhpur, 2016-2020, CGPA: 6.75

💼 Experience:

Graduate Researcher (Jan 2021 – Present)
- AI & Drone Design Lab, MMMUT
- Spearheading research in ML, DL, IoT integration with drones and cloud servers
- Led the AI team, collaborated with Ph.D. researchers, and submitted research papers
Machine Learning Intern (July 2022 – Aug 2022)
- Cognizant (Virtual Experience Program)
- Conducted EDA, Data Modeling, and built predictive ML models for business insights

🚀 Projects:

Drone Based Object Detection and Segmentation Model for Smart Farming
- Developed computer vision model for crop detection through drones
- Sponsored by Ministry of Electronics and Information Technology, Govt. of India
Object Recognition and Scene Understanding Model for Self-Driving Cars
- Created Semantic segmentation model for self-driving cars using deep learning technologies
Machine Learning Model for Soil Quality Analysis
- Implemented IoT-based ML model for soil health analysis, predicting suitable crops
- Deployed on AWS EC2 server with a user interface using Flask

🔧 Technical Skills:

Languages/Frameworks: Python, TensorFlow, PyTorch, Flask, Java, HTML/CSS
Tools: Git, AWS, Sagemaker, Kaggle, Jupyter Lab, Matlab, VS Code, MPLAB, Linux
Technology: ML, DL, CNN, GAN, NLP, Data science pipeline, IoT, Drone Technology

📜 Certificates:

Deep Learning Specialization

Shivam Kumar Yadav is a tech enthusiast and researcher, with a knack for pushing boundaries in machine learning, computer vision, and IoT. From leading AI teams to contributing to innovative projects, Shivam thrives at the intersection of theory and practical application. His commitment to sustainable agriculture and smart technology solutions is evident in his impactful projects.

🍇 Research Focus:

Shivam Kumar Yadav is a trailblazer in precision agriculture, specializing in multiclass weed identification through semantic segmentation. His research, published in Ecological Informatics, presents an automated approach using deep learning for enhanced agricultural precision. As a co-author, he contributed to the creation of the Multiclass Weeds Dataset for Image Segmentation, a valuable resource for advancing weed identification technology. Additionally, Shivam explores the synergy of Big Data and IoT, as evidenced by his paper “Exploring the Power of Big Data for IoT: A Comprehensive Review” presented at the 2023 International Conference on IoT, Communication, and Automation Technology. 🚜🌐🔍

Publications Top Notes:🌐🔬

Xiangyang Yu | Agricultural Sciences | Best Researcher Award