Papers

3

Total Citations

34

H-Index

3

About

Priyabrata Pattanaik is an emerging agricultural technology researcher whose work sits at the dynamic intersection of robotics, artificial intelligence, and precision agriculture. His research focuses predominantly on innovative weed management solutions, leveraging cutting-edge technologies to address one of agriculture's most persistent and costly challenges. Pattanaik's most notable contribution, a 2025 study garnering 19 citations, introduced a smart robotic system guided by the YOLOv5 machine learning framework, enabling precise, minimal herbicide application in rice cultivation — a significant step toward sustainable and cost-effective crop protection. Complementing this work, his 2021 review on robotics in weed management, cited 12 times, helped establish a foundational understanding of how artificial intelligence-driven machines can replace labor-intensive, repetitive agricultural tasks. His 2024 comprehensive review of cutting-edge weed control technologies further demonstrates his commitment to synthesizing global knowledge for practical field application. Across his body of work, Pattanaik consistently champions precision agriculture principles, aiming to reduce environmental impact while enhancing productivity. His research is particularly valuable for scientists and students exploring the future of smart farming, sustainable food production, and agricultural automation.

Research Focus

Key Achievements

3
H-Index
3
Papers
34
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Smart robotic system guided with YOLOv5 based machine learning framework for efficient herbicide usage in rice (Oryza sativa L.) under precision agriculture
19 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Manchester Metropolitan University, Siksha O Anusandhan University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago