J. John Paul

Karunya University

Papers

3

Total Citations

11

H-Index

2

About

J. John Paul is a researcher focused on the transformative potential of the Internet of Things (IoT) across critical domains, including precision agriculture, healthcare, and smart city infrastructure. His work addresses pressing real-world challenges by developing automated, data-driven solutions. His most cited paper, "IoT Based Weed Detection and Removal in Precision Agriculture" (2023, 7 citations), tackles the critical agricultural problem of weed competition, which threatens crop yields by vying for nutrients and water. Paul’s contribution lies in automating weed identification, a traditionally labor-intensive phase of weeding, thereby enabling more efficient and targeted removal. He further explores the digitization of healthcare in "Internet of Medical Things for Health Care Applications: Future Trends and Challenges" (2021, 2 citations), examining how connected devices can lower costs and facilitate patient monitoring. His work on "IoT based Automatic Garbage Collection for Smart Cities" (2022, 2 citations) addresses the massive waste issues exacerbated by overpopulation and poor urban planning. Collectively, Paul’s research demonstrates a commitment to leveraging IoT for practical, scalable solutions that improve efficiency and sustainability in agriculture, health, and urban living.

Research Focus

Key Achievements

2
H-Index
3
Papers
11
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
IoT Based Weed Detection and Removal in Precision Agriculture
7 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Karunya University

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago