A Low-Cost System to Estimate Leaf Area Index Combining Stereo Images and Normalized Difference Vegetation Index

被引：2

作者：

Mendes, Jorge Miguel ^{[1
,2
]}

Filipe, Vitor Manuel ^{[1
,2
]}

dos Santos, Filipe Neves ^{[1
]}

dos Santos, Raul Morais ^{[1
,2
]}

机构：

[1] INESC TEC Inst Syst & Comp Engn Technol & Sci, Polo UTAD, Vila Real, Portugal

[2] UTAD Univ Tras Os Montes & Alto Douro, Engn Dept, Vila Real, Portugal

来源：

PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2019, PT I | 2019年 / 11804卷

关键词：

Leaf Area Index; Normalized Difference Vegetation Index; Stereo images; Image segmentation; Vineyard monitoring; Remote sensing; VINEYARDS; LIDAR;

D O I：

10.1007/978-3-030-30241-2_21

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In order to determine the physiological state of a plant it is necessary to monitor it throughout the developmental period. One of the main parameters to monitor is the Leaf Area Index (LAI). The objective of this work was the development of a non-destructive methodology for the LAI estimation in wine growing. This method is based on stereo images that allow to obtain a bard 3D representation, in order to facilitate the segmentation process, since to perform this process only based on color component becomes practically impossible due to the high complexity of the application environment. In addition, the Normalized Difference Vegetation Index will be used to distinguish the regions of the trunks and leaves. As an low-cost and non-evasive method, it becomes a promising solution for LAI estimation in order to monitor the productivity changes and the impacts of climatic conditions in the vines growth.

引用

页码：236 / 247

页数：12

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