As climate change and global trade accelerate the spread of invasive insect species, forestry and timber sectors face increasing threats from pests that can devastate entire crops. Early detection and timely intervention are crucial to prevent major economic losses and reduce environmental impact.

In the project Pest insect control in the forestry and timber sector using non-traditional grid-based alarm systems (BI-HU/26-27-007), researchers are developing an intelligent, automated system to predict insect invasions and alert farmers in advance. The system collects data in forestry environments using insect traps and cameras. An AI-based program analyzes images to identify pest insects, predicts potential invasions and supports timely interventions, protecting plants and reducing pesticide use.

A distinctive feature of the project is the use of non-conventional grids, including triangular, hexagonal, and irregular lattice structures in image analysis. These patterns improve the efficiency of convolutional neural networks and enhance the detection of even the smallest insects. The project actively involves young researchers and PhD students, who explore innovative solutions such as honeycomb-inspired hexagonal analysis. The methods developed could also have applications in medical imaging and environmental protection.

The project is implemented in a bilateral cooperation between Slovenia and Hungary. In Slovenia the project is coordinated by the University of Primorska, Andrej Marušič Institute and led by Dr. Miklos Kresz. The research team also includes Dr. Jakub Michal Sandak, Dr. Niki Hrovatin, Edit Foldvari-Nagy and Dr. Balazs David. The project runs from 1 January 2026 to 31 December 2027 and is funded by the Slovenian Research and Innovation Agency (ARIS). Project partner from Hungary is the Eszterházy Károly Catholic University.

Expected outcomes include an effective early-warning system for pest invasions, reduced crop losses, minimized pesticide use and strengthened international experience for young researchers. In the long term, the project aims to protect natural resources, supports farmers and maintain economic competitiveness in the forestry and timber sectors.

Authors: Lara Prah, Dr. Lea Primožič, Dr. Miklós Krész