Work

Root identification in minirhizotron imagery with multiple instance learning

Year: 2020

Type: article

Source: Machine Vision and Applications

DOI: 10.1007/s00138-020-01088-z

Authors: Guohao Yu, Alina Zare, Hudanyun Sheng, Roser Matamala, Joel Reyes-Cabrera, Felix B. Fritschi, Thomas E. Juenger

Institutions: University of Florida, Argonne National Laboratory, University of Missouri, The University of Texas at Austin

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

Open Access status: green

Funders: U.S. Department of Energy, Advanced Research Projects Agency - Energy, Office of Science, Advanced Research Projects Agency, Biological and Environmental Research

Awards: CLIMATE ADAPTATION AND SUSTAINABILITY IN SWITCHGRASS: EXPLORING PLANT-MICROBE-SOIL INTERACTIONS ACROSS CONTINENTAL SCALE ENVIRONMENTAL GRADIENTS, G261822117, CLIMATE ADAPTATION AND SUSTAINABILITY IN SWITCHGRASS: EXPLORING PLANT-MICROBE-SOIL INTERACTIONS ACROSS CONTINENTAL SCALE ENVIRONMENTAL GRADIENTS, G847340737, UNIVERSITY OF FLORIDA ROOTS CONTROL NUMBER 1565-1516 PROJECT TITLE: RAYS FOR ROOTS – INTEGRATING BACKSCATTER X-RAY PHENOTYPING, MODELING, AND GENETICS TO INCREASE CARBON SEQUESTRATION AND SWITCHGRASS RESOURCE USE EFFICIENCY

OpenAlex ID: W3037208247

FWCI: 2.303

Cites: 31

Cited by: 30

Related to: