Image Harvest: an open-source platform for high-throughput plant image processing and analysis.

ABSTRACT: High-throughput plant phenotyping is an effective approach to bridge the genotype-to-phenotype gap in crops. Phenomics experiments typically result in large-scale image datasets, which are not amenable for processing on desktop computers, thus creating a bottleneck in the image-analysis pipeline. Here, we present an open-source, flexible image-analysis framework, called Image Harvest (IH), for processing images originating from high-throughput plant phenotyping platforms. Image Harvest is developed to perform parallel processing on computing grids and provides an integrated feature for metadata extraction from large-scale file organization. Moreover, the integration of IH with the Open Science Grid provides academic researchers with the computational resources required for processing large

SUBMITTER: Knecht AC 

PROVIDER: S-EPMC4892737 | biostudies-literature | 2016 May

REPOSITORIES: biostudies-literature