Analyzing Real-Time Insect Detection in Smart Connected Farms
With a vision of smart connected farms, this research proposes an insect detection framework (InsDet) to identify the most harmful corn crop insect, known as corn rootworm beetle. InsDet employs an object detection model with varying sizes to localize the insects in sticky-trap images.
Authors
- Vishesh Kumar Tanwar (ORCID: https://orcid.org/0000-0002-4802-7582)
- Ashish Gupta (ORCID: https://orcid.org/0000-0002-1424-1361)
- Sajal K. Das (ORCID: https://orcid.org/0000-0002-9471-0868)
- Ajaya Nand Jha (ORCID: https://orcid.org/0009-0002-3044-4238)
Institutions
- Missouri University of Science and Technology (US)
- Birla Institute of Technology and Science, Pilani - Dubai Campus (AE)
Publication Details
- Journal
- Computer
- Published
- 2024-11-15
- DOI
- https://doi.org/10.1109/mc.2023.3335254
- Citations
- 2
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 1.20
Funders
- National Science Foundation