4.7 Review

Low-altitude, high-resolution aerial imaging systems for row and field crop phenotyping: A review

期刊

EUROPEAN JOURNAL OF AGRONOMY
卷 70, 期 -, 页码 112-123

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.eja.2015.07.004

关键词

Aerial imaging; Data mining; Crop breeding; High-throughput field phenomics

类别

资金

  1. USDA National Institute for Food and Agriculture, Hatch Project [1002864 (WNP00821)]

向作者/读者索取更多资源

Global plant genetics research efforts have focused on developing high yielding, stress tolerant, and disease resistant row and field crop varieties that are more efficient in their use of agronomfc inputs (water, nutrients, pesticides, etc.). Until recently, a key bottleneck in such research was the lack of high-throughput sensing technologies for effective and rapid evaluation of expressed phenotypes under field conditions for holistic data-driven decision making and variety selection. This review focuses on technological aspects of integrating unmanned aerial vehicles with imaging systems to enhance field phenotyping capabilities. The state-of-the-art of unmanned aerial vehicle technology for various applications including crop emergence, vigor, and characterization of yield potential of row and field crops has been reviewed. The potential of using aerial imaging to evaluate resistance/susceptibility to biotic and abiotic stress for crop breeding and precision production management has been discussed along with future perspectives and developments. (C) 2015 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据