Insect Detect

Insect Detect

Complete Solutions

Insect Detect is a DIY camera trap system for automated insect monitoring. Built using affordable hardware like the Raspberry Pi Zero 2 W and Luxonis OAK-1, it integrates YOLOv5–v8 models for object detection...

Insect Detect (Sittinger et. Al., 2024) is a DIY camera trap system for automated insect monitoring. Built using affordable hardware like the Raspberry Pi Zero 2 W and Luxonis OAK-1, it integrates YOLOv5–v8 models for object detection. The system runs Python scripts to capture and analyze insect activity and is designed to operate offline with optional cloud syncing for data uploads.

Organization

GitHub user

Deployment Model

Mixed

Agricultural Production Step

Pest management

End User

Farmers, Advisors

Used for

Crops

TRL

6-7

Community Engagement

High

Number of Forks

20

Country

Universal

Licence

Disclamer

While every effort has been made to accurately record the licensing status and all other information presented, this catalogue is provided for informational purposes only. Users are strongly encouraged to verify these details—particularly the license terms and conditions—before adopting or integrating any solution, and to take special care when no explicit license is listed in the repository. The partners of the OpenAgri project make no representations or warranties of any kind, express or implied about the completeness, accuracy, reliability or suitability with respect to the interactive catalogue or the information, products, services or related graphics contained in the catalogue for any purpose. Any reliance you place on such material is therefore strictly at your own risk.

Project Coordination:

Prof. Christopher Brewster
Maastricht University

Minderbroedersberg 4-6,
6211 LK Maastricht,
Netherlands

christopher.brewster@

maastrichtuniversity.nl

Project Communication:

Maja Radisic
Foodscale Hub
Trg Dositeja Obradovića 8
21000 Novi Sad,
SERBIA
maja@foodscalehub.com
 
foodscalehub.com

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OpenAgri has received funding from the EU’s Horizon Europe research and innovation programme under Grant Agreement no. 101134083. This output reflects only the author’s view and the European Commission cannot be held responsible for any use that may be made of the information contained therein.
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