Work

FLOTO: Beyond Bandwidth - A Framework for Adaptable, Multi-sensor Data Collection in Scientific Research

Year: 2024

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-031-73716-9_30

Authors: Alicia Esquivel Morel, Mark Powers, Kate Keahey, Zack Murry, Tomas Javier Sitzmann, Jianfeng Zhou, Prasad Calyam

Institutions: University of Missouri, Argonne National Laboratory, University of Chicago, University of Turin

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

Open Access status: closed

OpenAlex ID: W4405382049

FWCI: 1.47

Cites: 23

Cited by: 2

Related to: 10