AlfredsLapkovskis/MultimodalPlantClassifier
Source code for the paper "Automatic fused multimodal deep learning for plant identification" (Alfreds Lapkovskis, Natalia Nefedova & Ali Beikmohammadi, 2025)
This project helps botanists, ecologists, and agricultural scientists automatically identify plant species. By inputting images of different plant parts (like flowers, leaves, fruits, and stems) it outputs the most probable plant species. It's designed for researchers and professionals who need to classify plants from visual data efficiently.
No commits in the last 6 months.
Use this if you need to build or evaluate a system for identifying plant species using multiple types of image data from a single plant.
Not ideal if you only have a single image type per plant or are looking for a ready-to-use mobile application for casual plant identification.
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2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Aug 05, 2025
Commits (30d)
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