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SPOT: Scanning plant IoT facility for high-throughput plant phenotyping

Many plant phenotyping platforms have been kept out of the reach of smaller labs and institutions due to high cost and proprietary software. The Scanning Plant IoT (SPOT) Facility, located at the University of Florida, is a mobile, laboratory-based platform that facilitates open-source collection of...

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Detalles Bibliográficos
Autores principales: Lantin, Stephen, McCourt, Kelli, Butcher, Nicholas, Puri, Varun, Esposito, Martha, Sanchez, Sasha, Ramirez-Loza, Francisco, McLamore, Eric, Correll, Melanie, Singh, Aditya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10485143/
https://www.ncbi.nlm.nih.gov/pubmed/37693634
http://dx.doi.org/10.1016/j.ohx.2023.e00468
Descripción
Sumario:Many plant phenotyping platforms have been kept out of the reach of smaller labs and institutions due to high cost and proprietary software. The Scanning Plant IoT (SPOT) Facility, located at the University of Florida, is a mobile, laboratory-based platform that facilitates open-source collection of high-quality, interoperable plant phenotypic data. It consists of three main sensors: a hyperspectral sensor, a thermal camera, and a LiDAR camera. Real-time data from the sensors can be collected in its 10 ft. × 10 ft. scanning region. The mobility of the device allows its use in large growth chambers, environmentally controlled rooms, or greenhouses. Sensors are oriented nadir and positioned via computer numerical control of stepper motors. In a preliminary experiment, data gathered from SPOT was used to autonomously and nondestructively differentiate between cultivars.