an AI powered tool for Box Tree Moth identification
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an AI powered tool for Box Tree Moth identification
Forgotten your password? Enter your email address below, and we’ll email instructions for setting a new one.
To use the MothNet tool, simply upload your image. The allowed formats are JPG and PNG. After selecting your image, click on the "Identify" button. The identification results will be displayed in the results box.
The confidence score indicates how likely it is that the identified moth is the target species. A higher confidence score means the model is more certain about the identification. Currently, confidence scores over 90% are considered very good.
Yanqiu Yang, Paul Heinemann, Department of Agricultural and Biological Engineering, Penn State.
Christina Grozinger, Harland Patch, Department of Entomology, Penn State.
Danying Shao, Institute for Computational and Data Sciences, Penn State.
Funding was provided by the Penn State College of Agricultural Sciences Technology for Living Systems Center and the INSECT NET program (NSF Grant #2243979).
For further information or inquiries, please reach out to us at https://insectnet.psu.edu/.