Publication
ARTIFICIALLY AIDED FUNGI RECOGNITION USING CONVOLUTIONAL NEURAL NETWORKS
(STEF92 Technology, 2022-12-27, Kamil Gajewski, Witold Prusak, Jaroslaw Fafara, Aleksander Skrzypiec, Tymoteusz Turlej)
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This article presents the concept of using neural networks in the recognition of fungi for use in a mobile forest ecosystem inspection robot. There are many dependencies regarding the occurrence of fungi in the vicinity of specific tree species. The presence of some fungi may be the result of a developing tree disease. The possibility of quick recognition of the fungus species using an autonomous mobile robot will allow for faster detection and prevention of the disease in entire ecosystems. An attempt was made to...
Forest Ecosystems2022
