Automatic detection of alien plant species in action camera images using the chopped picture method and the potential of citizen science

Autor:	Takaya, Kosuke, Sasaki, Yu, Ise, Takeshi
Rok vydání:	2022
Předmět:	Solidago altissima action camera citizen science Genetics deep learning Plant Science chopped picture method Agronomy and Crop Science alien plant computer vision
Zdroj:	Breeding Science. 72:96-106
ISSN:	1347-3735 1344-7610
DOI:	10.1270/jsbbs.21062
Popis:	Monitoring and detection of invasive alien plant species are necessary for effective management and control measures. Although efforts have been made to detect alien trees using satellite images, the detection of alien herbaceous species has been difficult. In this study, we examined the possibility of detecting non-native plants using deep learning on images captured by two action cameras. We created a model for each camera using the chopped picture method. The models were able to detect the alien plant Solidago altissima (tall goldenrod) and obtained an average accuracy of 89%. This study proved that it is possible to automatically detect exotic plants using inexpensive action cameras through deep learning. This advancement suggests that, in the future, citizen science may be useful for conducting distribution surveys of alien plants in a wide area at a low cost.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6152f7347bcc2cc7cb3985222eade125 https://doi.org/10.1270/jsbbs.21062 Zobrazit plný text záznamu Plný text ve formátu PDF