Field Phenomics: A web based image analysis platform using open source tools

被引：0
|
作者：
Ruiz-Guzman, Henry A. [1 ]
Gonzalez-Navarro, Felix F. [1 ]
Selvaraj-Gomez, Michael [2 ]
Valencia, Milton [2 ]
Delgado, Alfredo [3 ]
机构：
[1] Baja California Univ UABC, Engn Inst, Mexicali 21280, Baja California, Mexico
[2] Int Ctr Trop Agr CIAT, Agrobiovers, Cali 6713, Colombia
[3] Texas A&M Univ, Soil & Crop Sci, College Stn, TX 77843 USA
来源：
2015 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI) | 2015年
关键词：
image processing; remote sensing; opencv; phenomics platform; ndvi; phenotyping; phenotype; YIELD;
D O I：
10.1109/CSCI.2015.157
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The main goal of any field phenomics platform is to enable plant breeders to detect and evaluate dynamic traits which so far are difficult or inefficient to measure while also requiring destructive sampling. Plant phenotyping is frequently slower and more expensive than genotyping due to the time interval data capture for traits under different environments. Advanced remote sensing technologies such as aerial phenotyping may help expedite the development and selection of climate smart plant varieties. This is an ongoing research project. The main objective of this research is to build an open source web based image analysis platform using opencv (open source computer vision) to analyze field data in the form of images. Computation of vegetative indices to predict plant performance under real field conditions would be a provided outcome.
引用
收藏
页码：851 / 852
页数：2
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