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IAP / Integrated Analysis Platform
Allows quantitative analysis of high-throughput plant phenotyping data. IAP handles different image sources and assists in organizing phenotypic data by retaining the metadata from the input in the result data set. It provides approaches for data management, image analysis, and result handling for large-scale experiments. IAP includes image-analysis pipelines to examine various traits for other species, such as Arabidopsis, wheat, and barley, and can be adapted to process imaging data from different monitoring systems and camera types.
Image Harvest
Allows high-throughput image analysis for plant biologists. Image Harvest is an open-source and flexible framework for processing and analyzing plant images, such as conventional color and fluorescence images. The software allows the simplification of the collection of metadata from the organizational structure of raw image databases. It provides an option for implementing basic statistical functions, as well as several definitions of digital traits to describe plant growth, morphology, and physiological responses.
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