{
 "id": "ngaggion/UnsupervisedRootVideos",
 "owner": "ngaggion",
 "name": "UnsupervisedRootVideos",
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 "last_modified": "2026-03-03T18:07:59.000Z",
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 "citation": "@article{10.1093/gigascience/giag018,\n    author = {Gaggion, Nicolás and Boccardo, Noelia A and Bonazzola, Rodrigo and Legascue, María Florencia and Mammarella, María Florencia and Rodriguez, Florencia Sol and Aballay, Federico Emanuel and Catulo, Florencia Belén and Barrios, Andana and Santoro, Luciano J and Accavallo, Franco and Villarreal, Santiago Nahuel and Pereyra-Bistrain, Leonardo I and Benhamed, Moussa and Crespi, Martin and Ricardi, Martiniano María and Petrillo, Ezequiel and Blein, Thomas and Ariel, Federico and Ferrante, Enzo},\n    title = {ChronoRoot 2.0: An Open AI-Powered Platform for 2D Temporal Plant Phenotyping},\n    journal = {GigaScience},\n    pages = {giag018},\n    year = {2026},\n    month = {02},\n    abstract = {Plant developmental plasticity, particularly in root system architecture, is fundamental to understanding adaptability and agricultural sustainability. Existing automated phenotyping solutions face limitations including binary segmentation approaches, restricted structural analysis capabilities, and text-based interfaces that limit accessibility, with most focusing solely on root structures while overlooking valuable information from simultaneous analysis of multiple plant organs.ChronoRoot 2.0 builds upon established low-cost hardware while significantly enhancing software capabilities and usability. The system employs nnUNet architecture for multi-class segmentation, demonstrating significant accuracy improvements while simultaneously tracking ",
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