UAS IN 3D CROP MODELLING FOR AGRICULTURE RESEARCH

被引：0

作者：

Michalski, Adam ^{[1
]}

Riche, Andrew ^{[2
]}

Castle, March ^{[2
]}

Holman, Fenner ^{[3
]}

Hawkesford, Malcolm ^{[2
]}

Wooster, Martin ^{[3
]}

机构：

[1] Wroclaw Univ Environm & Life Sci, Norwida 25, PL-50357 Wroclaw, Poland

[2] Rothamsted Res, Harpenden AL5 2JQ, Herts, England

[3] Kings Coll London, Dept Geog, London WC2R 2LS, England

来源：

7TH INTERNATIONAL CONFERENCE ON CARTOGRAPHY AND GIS, VOLS 1 AND 2 | 2018年

关键词：

UAS; Unmanned Aerial Systems; UAV applications; 3D modelling; crop phenotyping; agriculture research;

D O I：

暂无

中图分类号：

P9 [自然地理学]; K9 [地理];

学科分类号：

0705 ; 070501 ;

摘要：

Agricultural field experiment scientists need to collect trait data such as plant height, water stress, vegetation index, vegetation stage etc. Manual measurements and sampling of hundreds or even thousands of experimental field plots is very time consuming. Recent developments in both hardware and software of Unmanned Aerial Systems have made them a solution for field crop phenotyping. UAS equipped with RGB off-the-shelf inexpensive digital cameras can be used for estimating crop heights of experimental plots. The heights can be used for biomass prediction, yield prediction and for plant growth observations. This paper describe a 3D photogrammetric workflow used for the heights extraction and explains issues overcome during the whole process. The authors described their experience on working with wheat experiments at Rothamsted Research, an agriculture research institute in the United Kingdom.

引用

页码：828 / 835

页数：8

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