J. John Paul
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
Top Papers
- 1IoT Based Weed Detection and Removal in Precision Agriculture7 citations · 2023
- 2
- 3IoT based Automatic Garbage Collection for Smart Cities2 citations · 2022