AI-powered tool for spidermite damage assessment in tropical grasses
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en
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Open Access
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Ruiz-Hurtado, A.F.; Espitia Buitrago, P.A.; Kimani, A.M.; Chidawanyika, F.; Cardoso Arango, J.A.; Jauregui, R.N. (2024) AI-powered tool for spidermite damage assessment in tropical grasses.
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Abstract/Description
This tool is an AI-powered tool designed for assessing spidermite damage in tropical grasses. This software uses advanced image processing and machine learning models to perform damage classification for field images and plant segmentation using a salient object detection approach. Further refinement of models and fine-tuning is being actively researched. A deployed Gradio web application version is available on Hugging Face for online use, and users can also run the tool locally.
Author ORCID identifiers
Andres Felipe Ruiz-Hurtado https://orcid.org/0000-0003-1293-8736
Paula Espitia-Buitrago https://orcid.org/0000-0002-6610-1491
Juan Andrés Cardoso Arango https://orcid.org/0000-0002-0252-4655
Rosa Noemi Jauregui https://orcid.org/0000-0002-1058-3735
Paula Espitia-Buitrago https://orcid.org/0000-0002-6610-1491
Juan Andrés Cardoso Arango https://orcid.org/0000-0002-0252-4655
Rosa Noemi Jauregui https://orcid.org/0000-0002-1058-3735
Contributes to SDGs
