Non-destructive Laboratory Analysis of the Detection of Unhealthy Sugarcane Stalks Using a Portable Vis-NIR Spectrometer-Reference-Cited by-同舟云学术

Non-destructive Laboratory Analysis of the Detection of Unhealthy Sugarcane Stalks Using a Portable Vis-NIR Spectrometer

Published:2022 Issue:2 Volume:15 Page:72-80
ISSN:1881-8366
Container-title:Engineering in Agriculture, Environment and Food
language:en
Short-container-title:Engineering in Agriculture, Environment and Food

Author:

APARATANA Kittipon¹,ISHIKAWA Daitaro²,MARAPHUM Kanvisit³,SAENGPRACHATANARUG Khwantri³,AGARIE Hitoshi⁴,SHIKANAI Takeshi⁴,TANAKA Munehiro⁵,TAIRA Eizo⁴

Affiliation:

1. United Graduate School of Agricultural Sciences, Kagoshima University

2. Faculty of Agricultural Sciences, Fukushima University

3. The Northeast Thailand Cane and Sugar Research Center (NECS), Khon Kaen University

4. Faculty of Agriculture, University of the Ryukyus

5. Faculty of Agriculture, Saga University

Publisher

Asian Agricultural and Biological Engineering Association

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,Food Science

Link

https://www.jstage.jst.go.jp/article/eaef/15/2/15_72/_pdf

Reference33 articles.

1. Aparatana, K., K. Saengprachatanarug, Y. Izumikawa, S. Nakamura and E. Taira. 2020. Development of sugarcane and trash identification system in sugar production using hyperspectral imaging. Journal of Near Infrared Spectroscopy. 28 (3): 133–139. https://doi.org/10.1177/0967033520905369, (Accessed 11 Oct. 2022).

2. Brienzo, M., Y. Abud, S. Ferreira, R. C. N. R. Corrales, V. S. Ferreira-Leitão, W. de Souza and C. Sant’Anna. 2016. Characterization of anatomy, lignin distribution, and response to pretreatments of sugarcane culm node and internode. Industrial Crops and Products. 84: 305–313. https://doi.org/10.1016/j.indcrop.2016.01.039, (Accessed 11 Oct. 2022).

3. Bro, R. and A. K. Smilde. 2014. Principal component analysis. Analytic Methods. 6 (9): 2812–2831. https://doi.org/10.1039/C3AY41907J, (Accessed 11 Oct. 2022).

4. Department of Agriculture, Forestry and Fisheries, Okinawa Prefecture. 2020. Sugar Cane Production Situation of 2019 in Okinawa Pre- fecture. Japan: Department of Agriculture, Forestry and Fisheries, Okinawa Prefecture. https://www.pref.okinawa.jp/site/norin/togyo/kibi/mobile/documents/seisanzisseki.pdf, (Accessed 13 Oct. 2022). (In Japanese).

5. Elsharif, A. A. and S. S. Abu-Naser. 2019. An expert system for diagnosing sugarcane diseases. International Journal of Academic Engineering Research (IJAER). 3: 19–27.