FCIC FY18 LT-baseline Feedstock Images
Abstract
Set of images taken during pilot plant dilute-acid hydrolysis preatreatment reactor operation. Images were taken with a GoPro Hero 5 with rectilinear lens facing downwards on a weigh-belt instrument. Image period was every 30 seconds during operation. This image set is connected to a journal article titled "Real-Time Biomass Feedstock Particle Quality Detection Using Image Analysis and Machine Vision", http://dx.doi.org/10.1007/s13399-020-00904-w.
- Authors:
-
- National Bioenergy Center
- Publication Date:
- Other Number(s):
- DE-AC36-08GO28308
- DOE Contract Number:
- DE-AC36-08GO28308
- Research Org.:
- National Renewable Energy Laboratory - Data (NREL-DATA), Golden, CO (United States); National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Org.:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Subject:
- 09 BIOMASS FUELS; 47 OTHER INSTRUMENTATION
- Keywords:
- biomass feedstock; automated image analysis; machine vision
- OSTI Identifier:
- 1659221
- DOI:
- https://doi.org/10.7799/1659221
Citation Formats
Sievers, David. FCIC FY18 LT-baseline Feedstock Images. United States: N. p., 2020.
Web. doi:10.7799/1659221.
Sievers, David. FCIC FY18 LT-baseline Feedstock Images. United States. doi:https://doi.org/10.7799/1659221
Sievers, David. 2020.
"FCIC FY18 LT-baseline Feedstock Images". United States. doi:https://doi.org/10.7799/1659221. https://www.osti.gov/servlets/purl/1659221. Pub date:Fri Jul 24 00:00:00 EDT 2020
@article{osti_1659221,
title = {FCIC FY18 LT-baseline Feedstock Images},
author = {Sievers, David},
abstractNote = {Set of images taken during pilot plant dilute-acid hydrolysis preatreatment reactor operation. Images were taken with a GoPro Hero 5 with rectilinear lens facing downwards on a weigh-belt instrument. Image period was every 30 seconds during operation. This image set is connected to a journal article titled "Real-Time Biomass Feedstock Particle Quality Detection Using Image Analysis and Machine Vision", http://dx.doi.org/10.1007/s13399-020-00904-w.},
doi = {10.7799/1659221},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {7}
}
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