A workflow for segmenting soil and plant X-ray computed tomography images with deep learning in Google's Colaboratory.

Rippner, Devin A; Raja, Pranav V; Earles, J Mason; Momayyezi, Mina; Buchko, Alexander; Duong, Fiona V; Forrestel, Elizabeth J; Parkinson, Dilworth Y; Shackel, Kenneth A; Neyhart, Jeffrey L; McElrone, Andrew J

Rippner, Devin A; Raja, Pranav V; Earles, J Mason; Momayyezi, Mina; Buchko, Alexander; Duong, Fiona V; Forrestel, Elizabeth J; Parkinson, Dilworth Y; Shackel, Kenneth A; Neyhart, Jeffrey L; McElrone, Andrew J.

Afiliación

Rippner DA; Horticultural Crops Production and Genetic Improvement Research Unit-United States Department of Agriculture-Agricultural Research Service, Prosser, WA, United States.
Raja PV; Department of Biological and Agricultural Engineering, University of California, Davis, Davis, CA, United States.
Earles JM; Department of Biological and Agricultural Engineering, University of California, Davis, Davis, CA, United States.
Momayyezi M; Department of Viticulture and Enology, University of California, Davis, Davis, CA, United States.
Buchko A; Department of Viticulture and Enology, University of California, Davis, Davis, CA, United States.
Duong FV; Department of Computer Science, California Polytechnic and State University, San Luis Obispo, CA, United States.
Forrestel EJ; Department of Integrative Biology, San Francisco State University, San Francisco, CA, United States.
Parkinson DY; Department of Viticulture and Enology, University of California, Davis, Davis, CA, United States.
Shackel KA; Advanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, CA, United States.
Neyhart JL; Department of Plant Sciences, University of California, Davis, Davis, CA, United States.
McElrone AJ; Genetic Improvement for Fruits and Vegetables Laboratory, United States Department of Agriculture-Agricultural Research Service, Chatsworth, NJ, United States.

Front Plant Sci ; 13: 893140, 2022.

Article en En | MEDLINE | ID: mdl-36176692

Palabras clave

X-ray computed tomography; deep learning; machine learning and AI; plant physiology; plant science; soil aggregate analysis; soil health; soil science

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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Front Plant Sci Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos