Persistent monitoring of insect-pests on sticky traps through hierarchical transfer learning and slicing-aided hyper inference
We also present a hardware and software infrastructure for deploying such models for real-life applications. Our results can assist researchers and practitioners looking for solutions for insect-pest detection and quantification on yellow sticky traps.
Authors
- Baskar Ganapathysubramanian (ORCID: https://orcid.org/0000-0002-8931-4852)
- Ashish Kumar Gupta (ORCID: https://orcid.org/0000-0001-7070-3308)
- Aaron Prestholt
- Fateme Fotouhi
- Matthew E. Carroll (ORCID: https://orcid.org/0000-0002-5224-7326)
- Nirav Merchant (ORCID: https://orcid.org/0000-0002-1988-8180)
- Sajal K. Das (ORCID: https://orcid.org/0000-0002-9471-0868)
- Asheesh Kumar Singh (ORCID: https://orcid.org/0000-0003-3722-1045)
- Peter Kyveryga (ORCID: https://orcid.org/0000-0001-8819-0889)
- Edwin Skidmore (ORCID: https://orcid.org/0000-0002-7598-3502)
- Soumik Sarkar (ORCID: https://orcid.org/0000-0002-6775-9199)
- Matthew E. O’Neal
- Hsin-Jung Yang (ORCID: https://orcid.org/0000-0001-8395-5993)
- K. H. Menke
- Arti Singh
Institutions
- University of Arizona (US)
- Iowa State University (US)
- Missouri University of Science and Technology (US)
- Iowa Soybean Association (US)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2024-11-22
- DOI
- https://doi.org/10.3389/fpls.2024.1484587
- Citations
- 5
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 3.00