Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/329785
Type: Congresso
Title: Dynamics Modeling For Sugarcane Sucrose Estimation Using Time Series Satellite Imagery
Author: Zhao
Yu; Della Justina
Diego; Kazama
Yoriko; Rocha
Jansle Vieira; Graziano
Paulo Sergio; Camargo Lamparelli
Rubens Augusto
Abstract: Sugarcane, as one of the most mainstay crop in Brazil, plays an essential role in ethanol production. To monitor sugarcane crop growth and predict sugarcane sucrose content, remote sensing technology plays an essential role while accurate and timely crop growth information is significant, in particularly for large scale farming. We focused on the issues of sugarcane sucrose content estimation using time-series satellite image. Firstly, we calculated the spectral features and vegetation indices to make them be correspondence to the sucrose accumulation biological mechanism. Secondly, we improved the statistical regression model considering more other factors. The evaluation was performed and we got precision of 90% which is about 20% higher than the conventional method. The validation results showed that prediction accuracy using our sugarcane growth modeling and improved mix model is satisfied.
Subject: Cane Quality Parameters
Editor: Spie-Int Soc Optical Engineering
Bellingham
Rights: aberto
Identifier DOI: 10.1117/12.2242490
Address: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/9998/99980J/Dynamics-modeling-for-sugar-cane-sucrose-estimation-using-time-series/10.1117/12.2242490.full
Date Issue: 2016
Appears in Collections:Unicamp - Artigos e Outros Documentos

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