Data Sheet 1_EcoBOT: an AI/ML enabled automated phenotyping capability for model plants.docx

Data Sheet 1_EcoBOT: an AI/ML enabled automated phenotyping capability for model plants.docx

Introduction<p>Advances in automation and AI/ML offer new opportunities for plant science, including design, modeling, and analysis. This study aimed to develop an automated platform for researching small model plants under axenic conditions and integrate it with AI/ML tools.</p>Methods&...

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Bibliographic Details
Main Author: Peter F. Andeer (12627868) (author)
Other Authors: Petrus H. Zwart (22760258) (author), Daniela Ushizima (7064363) (author), Marcus M. Noack (22760261) (author), Lloyd T. Cornmesser (22760264) (author), Thomas M. Vess (22760267) (author), Zineb Sordo (22208594) (author), Stephen Tan (16510298) (author), Joseph Zorzi (22760270) (author), Chelsea Hernandez (22760273) (author), Vlastimil Novak (12219688) (author), Yezhang Ding (5882408) (author), John P. Vogel (10679070) (author), Benjamin P. Bowen (191628) (author), James A. Sethian (22760279) (author), Trent R. Northen (1413580) (author)
Published: 2025
Subjects:
Plant Biology
automated
self driving
Gaussian Process
plant phenomics
AI image analysis
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