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

IF 6 1区农林科学 Q1 AGRONOMY

Crop Journal Pub Date : 2023-11-01 DOI:10.1016/j.cj.2023.10.005

Zhenhai Li, Chengzhi Fan, Yu Zhao, Xiuliang Jin, Raffaele Casa, Wenjiang Huang, Xiaoyu Song, Gerald Blasch, Guijun Yang, James Taylor, Zhenhong Li

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引用次数: 0

Abstract

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. The use of remote sensing data with extensive spatial coverage demonstrates some potential in predicting crop quality traits. Many studies have also proposed models and methods for predicting such traits based on multi-platform remote sensing data. In this paper, the key quality traits that are of interest to producers and consumers are introduced. The literature related to grain quality prediction was analyzed in detail, and a review was conducted on remote sensing platforms, commonly used methods, potential gaps, and future trends in crop quality prediction. This review recommends new research directions that go beyond the traditional methods and discusses grain quality retrieval and the associated challenges from the perspective of remote sensing data.

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谷物和耕地生产系统品质性状的遥感研究进展

谷物是全球人口卡路里和蛋白质的重要来源。在收获前准确预测谷物质量是非常必要的，以便为农民优化管理，为企业分级收获和分类储存，未来交易价格和政策规划。利用空间覆盖广泛的遥感数据预测作物品质性状具有一定的潜力。许多研究也提出了基于多平台遥感数据的此类性状预测模型和方法。本文介绍了生产者和消费者感兴趣的关键质量特征。对粮食品质预测相关文献进行了详细分析，综述了粮食品质预测的遥感平台、常用方法、存在的不足和未来发展趋势。本文提出了超越传统方法的新的研究方向，并从遥感数据的角度讨论了粮食品质检索及其面临的挑战。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Crop Journal Agricultural and Biological Sciences-Agronomy and Crop Science

CiteScore

9.90

自引率

3.00%

发文量

638

审稿时长

41 days

期刊介绍： The major aims of The Crop Journal are to report recent progresses in crop sciences including crop genetics, breeding, agronomy, crop physiology, germplasm resources, grain chemistry, grain storage and processing, crop management practices, crop biotechnology, and biomathematics. The regular columns of the journal are Original Research Articles, Reviews, and Research Notes. The strict peer-review procedure will guarantee the academic level and raise the reputation of the journal. The readership of the journal is for crop science researchers, students of agricultural colleges and universities, and persons with similar academic levels.