A Deep Learning-based Pest Insect Monitoring System for Ultra-low Power Pocket-sized Drones-Reference-Cited by-同舟云学术

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A Deep Learning-based Pest Insect Monitoring System for Ultra-low Power Pocket-sized Drones

Published:2024-04-29 Issue: Volume:28 Page:323-330
ISSN:
Container-title:2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)
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Author:

Crupi Luca¹,Butera Luca¹,Ferrante Alberto¹,Palossi Daniele¹

Affiliation:

1. Dalle Molle Institute for Artificial Intelligence (IDSIA), USI and SUPSI,Lugano,Switzerland,6962

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10621442/10621052/10621518.pdf?arnumber=10621518

Reference28 articles.

1. Deep learning and computer vision will transform entomology

2. Insecticide resistance in the Cydia pomonella (L): Global status, mechanisms, and research directions

3. Pest categorisation of Popillia japonica

4. Insect pest monitoring with camera-equipped traps: strengths and limitations

5. Remote Insects Trap Monitoring System Using Deep Learning Framework and IoT

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