Protein Content Estimation of Brown Rice Based on UAV Remote Sensing and Meteorological Data of Grain-filling Period

Agricultural remote sensing is an important issue, as techniques related to smart/precision agriculture could improve the quality of rice. This study aimed to explore models that consider nitrogen content in the canopy, and the transport/accumulation of assimilation products in grain, to estimate th...

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Veröffentlicht in:	Journal of The Remote Sensing Society of Japan 2018/01/31, Vol.38(1), pp.35-43
Hauptverfasser:	HAMA, Akira, TANAKA, Kei, MOCHIZUKI, Atsushi, TSURUOKA, Yasuo, KONDOH, Akihiko
Format:	Artikel
Sprache:	jpn
Schlagworte:	Agricultural practices agricultural support Detection drone growth management ICT agriculture Land use Meteorological data Nitrogen Normalized difference vegetative index Oryza Plant cover Precision farming Proteins Remote observing Remote sensing Rice Temperature Temperature data Variation
Online-Zugang:	Volltext
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