Improved Pest Detection

Pests are the main source of severe crop output losses. Manual identification is time-consuming, and traditional algorithms struggle with the varying scales and complex behaviours of pests, hindering effective real-time management.

Quantum technology can enhance pest localisation and classification by using quantum convolutional networks combined with image detection tools. Quantum machine learning models can be trained to rapidly and accurately classify localised plant images, offering potential quality improvements.

Faster, more precise pest detection allows for timely interventions, reducing crop damage and pesticide use. This supports healthier crops, higher yields, and more sustainable farming practices.