Assessment of energy content of industrial woodchip based on prediction models of moisture content using portable NIR spectrophotometer-Reference-Cited by-同舟云学术

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Assessment of energy content of industrial woodchip based on prediction models of moisture content using portable NIR spectrophotometer

Published:2022-11-03 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)
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Author:

Leoni Elena¹,Mancini Manuela¹,Fabrizi Sara¹,de Francesco Carmine¹,Picchi Gianni²,Toscano Giuseppe¹

Affiliation:

1. Università Politecnica delle Marche,Department of Agricultural, Food and Environmental Sciences,Ancona,Italy,60131

2. CNR-IBE (Institute of Bioeconomy of the National Research Council),Sesto Fiorentino,Italy,50019

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9964476/9964488/09964732.pdf?arnumber=9964732

Reference17 articles.

1. Rapid non-destructive evaluation of moisture content and higher heating value of Leucaena leucocephala pellets using near infrared spectroscopy

2. Rapid Quality Control of Woodchip Parameters Using a Hand-Held Near Infrared Spectrophotometer

3. A review of mechanisms responsible for changes to stored woody biomass fuels

4. Qualitative and quantitative analysis of lignocellulosic biomass using infrared techniques: A mini-review

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1. Linear Spaces of Meanings: Compositional Structures in Vision-Language Models;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

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