Regression-Based Models to Predict Rice Leaf Area Index Using Biennial Fixed Point Continuous Observations of Near Infrared Digital Images

Regression-Based Models to Predict Rice Leaf Area Index Using Biennial Fixed Point Continuous Observations of Near Infrared Digital Images

A weatherproof digital imaging system for the near infrared band (NIR, 820–900 nm) was positioned 12 m above a 600-m2 rice field. During the 2008 and 2009 paddy rice seasons, the system automatically logged images at 10-min intervals throughout the day. Radiometric corrections for the NIR images uti...

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Bibliographic Details
Main Authors: Michio Shibayama, Toshihiro Sakamoto, Eiji Takada, Akihirov Inoue, Kazuhiro Morita, Takuya Yamaguchi, Wataru Takahashi, Akihiko Kimura
Format: Article
Language:English
Published: Taylor & Francis Group 2011-01-01
Series:Plant Production Science
Subjects:
Digital camera
Leaf area index
Near infrared
Refl ectance factor
Rice
Online Access:http://dx.doi.org/10.1626/pps.14.365

Internet

http://dx.doi.org/10.1626/pps.14.365

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