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Climate Change Fans Spread of Pests and Threatens Plants and Crops, FAO. New FAO Study."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1007\/s10340-020-01309-4","article-title":"Insect pest monitoring with camera-equipped traps: Strengths and limitations","volume":"94","author":"Preti","year":"2021","journal-title":"J. Pest Sci."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Tirelli, P., Borghese, N., Pedersini, F., Galassi, G., and Oberti, R. (2011, January 10\u201312). Automatic monitoring of pest insects traps by Zigbee-based wireless networking of image sensors. 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