Title :
Field Phenomics: A Web Based Image Analysis Platform Using Open Source Tools
Author :
Henry A. Ruiz Guzman;F?lix F. Gonz?lez-Navarro;Michael Selvaraj-Gomez;Milton Valencia;Alfredo Delgado
Author_Institution :
Eng. Inst., Baja California Univ., Mexicali, Mexico
Abstract :
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.
Keywords :
"Vegetation mapping","Agriculture","Remote sensing","Indexes","Image analysis","Monitoring","Electronic mail"
Conference_Titel :
Computational Science and Computational Intelligence (CSCI), 2015 International Conference on
DOI :
10.1109/CSCI.2015.157