Shivam Yadav | Precision Agriculture | Best Researcher Award

Posted on by ScienceFather
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:🌐🔬