Analyzing Real-Time Insect Detection in Smart Connected Farms

Author

Ashish Gupta
Vishesh Kumar Tanwar
Amit Nath Jha
Sajal K. Das, Missouri University of Science and TechnologyFollow

Abstract

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.

Recommended Citation

A. Gupta et al., "Analyzing Real-Time Insect Detection in Smart Connected Farms," Computer, vol. 57, no. 12, pp. 38 - 46, Institute of Electrical and Electronics Engineers; Computer Society, Jan 2024.

The definitive version is available at https://doi.org/10.1109/MC.2023.3335254

Department(s)

Computer Science

Comments

National Science Foundation, Grant CC-1952045

International Standard Serial Number (ISSN)

1558-0814; 0018-9162

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 Institute of Electrical and Electronics Engineers; Computer Society, All rights reserved.

Publication Date

01 Jan 2024