Towards Machine Vision for Insect Welfare Monitoring and Behavioural Insights.

ABSTRACT: Machine vision has demonstrated its usefulness in the livestock industry in terms of improving welfare in such areas as lameness detection and body condition scoring in dairy cattle. In this article, we present some promising results of applying state of the art object detection and classification techniques to insects, specifically Black Soldier Fly (BSF) and the domestic cricket, with the view of enabling automated processing for insect farming. We also present the low-cost "Insecto" Internet of Things (IoT) device, which provides environmental condition monitoring for temperature, humidity, CO₂, air pressure, and volatile organic compound levels together with high resolution image capture. We show that we are able to accurately count and measure size of BSF larvae and also cl

SUBMITTER: Hansen MF 

PROVIDER: S-EPMC8886630 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature