Kanto Journal of Crop Science
Online ISSN : 2424-2225
Print ISSN : 1341-6359
ISSN-L : 1341-6359
32
Session ID : 8
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Prediction of the Rice Growth Stage with Mesh Agricultural Meteorological Data in Chiba Prefecture:
Ⅱ A model to predict heading stage based on daily photoperiod and temperature
Atsushi MochizukiHiroe YoshidaYasuo Tsuruoka
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© 2017 Crop Science Society of Japan kanto Branch
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