Deep learning powered real-time identification of insects using citizen science data

Understand

Insect-pests significantly impact global agricultural productivity and quality.

• Effective management involves identifying the full insect community, including beneficial insects and harmful pests, to develop and implement integrated pest management strategies.
• Automated identification of insects under real-world conditions presents several challenges, including differentiating similar-looking species, intra-species dissimilarity and inter-species similarity, several life cycle stages, camouflage, diverse imaging conditions, and variability in insect orientation.
• A deep-learning model, InsectNet, is proposed to address these challenges.