Machine Vision for Smart Trap Bandwidth Optimization and New Threat Identification
Author:
Affiliation:
1. INESC Technology and Science (INESC TEC), 4200-465 Porto, Portugal
2. School of Science and Technology, University of Trás-os-Montes e Alto Douro, 5000-801 Vila Real, Portugal
Publisher
MDPI
Link
https://www.mdpi.com/2673-9976/27/1/42/pdf
Reference15 articles.
1. FAO (2021). Climate Change Fans Spread of Pests and Threatens Plants and Crops, FAO. New FAO Study.
2. Insect pest monitoring with camera-equipped traps: Strengths and limitations;Preti;J. Pest Sci.,2021
3. Tirelli, P., Borghese, N., Pedersini, F., Galassi, G., and Oberti, R. (2011, January 10–12). Automatic monitoring of pest insects traps by Zigbee-based wireless networking of image sensors. Proceedings of the 2011 IEEE International Instrumentation and Measurement Technology Conference, Hangzhou, China.
4. Development of an automated multidirectional pest sampling detection system using motorized sticky traps;Hadi;IEEE Access,2021
5. A real-time remote surveillance system for fruit flies of economic importance: Sensitivity and image analysis;Diller;J. Pest Sci.,2023
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