Comparison of Single-Shot and Two-Shot Deep Neural Network Models for Whitefly Detection in IoT Web Application
In this study, we have compared YOLOv4, a single-shot detector to Faster-RCNN, a two-shot detector to detect and classify whiteflies on yellow-sticky tape (YST). An IoT remote whitefly monitoring station was developed and placed in a whitefly rearing room. Images of whiteflies attracted to the trap...
Main Authors: | Chinmay U. Parab, Canicius Mwitta, Miller Hayes, Jason M. Schmidt, David Riley, Kadeghe Fue, Suchendra Bhandarkar, Glen C. Rains |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-06-01
|
Series: | AgriEngineering |
Subjects: | |
Online Access: | https://www.mdpi.com/2624-7402/4/2/34 |
Similar Items
-
Subcellular Niche Segregation of Co-Obligate Symbionts in Whiteflies
by: Akiko Fujiwara, et al.
Published: (2023-02-01) -
A Review of Successes and Impeding Challenges of IoT-Based Insect Pest Detection Systems for Estimating Agroecosystem Health and Productivity of Cotton
by: Denis O. Kiobia, et al.
Published: (2023-04-01) -
Interaction of Whitefly Effector G4 with Tomato Proteins Impacts Whitefly Performance
by: Diana Naalden, et al.
Published: (2024-02-01) -
Citrus Pest Quick Guide: Citrus Whitefly
by: Xavier Martini, et al.
Published: (2022-04-01) -
Evaluation of moving yellow sticky traps for monitoring and management of whitefly, Bemisia tabaci infesting cotton
by: RISHI KUMAR, et al.
Published: (2019-08-01)