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InterFolia: an embedded, educational application to identify plant species in the wild

Maxime Langlade Debaleena Misra Carlos Crispim-Junior 1 Laure Tougne 1
1 imagine - Extraction de Caractéristiques et Identification
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : This paper presents InterFolia, an iOS application dedicated to help the general public identify the plant species around them. The application can recognize up to 214 species of trees and shrubs found in France and western Europe. Its classification module contains three convolutional neural network models that run locally and are each associated with a plant organ (flower/fruit, leaf, or bark). A fusion module is integrated into the application to combine all available information to help improve the overall accuracy of the classification task. The main novelty of In-terFolia is its use of embedded models that allow users to explore nature beyond network-covered zones.
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https://hal.archives-ouvertes.fr/hal-03380533
Contributor : Laure Tougne Connect in order to contact the contributor
Submitted on : Friday, October 15, 2021 - 3:58:49 PM
Last modification on : Thursday, October 21, 2021 - 5:26:35 AM

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  • HAL Id : hal-03380533, version 1

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Maxime Langlade, Debaleena Misra, Carlos Crispim-Junior, Laure Tougne. InterFolia: an embedded, educational application to identify plant species in the wild. 7th workshop on Computer Vision in Plant Phenotyping and Agriculture - ICCV Workshop 2021, Oct 2021, Virtual conference, France. ⟨hal-03380533⟩

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