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The accuracy of identifying some dangerous harmful insects by photos using the Yandex search engine has been evaluated. It is shown that most large agricultural plant pests with well-expressed specific features are automatically determined from photographs with a high probability (60 percent or more). The prospect of automatic recognition of mass pests from images taken by UAVs is discussed.
phytosanitary monitoring, digital photo diagnostics, image recognition, intelligent system, insect pest
phytosanitary monitoring, digital photo diagnostics, image recognition, intelligent system, insect pest
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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