Remote sensing of quality traits in cereal and arable production systems: A review

Remote sensing of quality traits in cereal and arable production systems: A review

Cereal is an essential source of calories and protein for the global population. Accurately predicting cereal quality before harvest is highly desirable in order to optimise management for farmers, grading harvest and categorised storage for enterprises, future trading prices, and policy planning. T...

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Bibliographic Details
Main Authors:	Zhenhai Li, Chengzhi Fan, Yu Zhao, Xiuliang Jin, Raffaele Casa, Wenjiang Huang, Xiaoyu Song, Gerald Blasch, Guijun Yang, James Taylor, Zhenhong Li
Format:	Article
Language:	English
Published:	KeAi Communications Co., Ltd. 2024-02-01
Series:	Crop Journal
Subjects:	Remote sensing Quality traits Grain protein Cereal
Online Access:	http://www.sciencedirect.com/science/article/pii/S2214514123001435

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