Trap colour strongly affects the ability of deep learning models to recognize insect species in images of sticky traps
Song‐Quan Ong,
Toke Thomas Høye
Abstract:BACKGROUNDThe use of computer vision and deep learning models to automatically classify insect species on sticky traps has proven to be a cost‐ and time‐efficient approach to pest monitoring. As different species are attracted to different colours, the variety of sticky trap colours poses a challenge to the performance of the models. However, the effectiveness of deep learning in classifying pests on different coloured sticky traps has not yet been sufficiently explored. In this study, we aim to investigate th… Show more
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