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This tutorial explain how to use 'sm-dtw', an assessment tool which has been designed to evaluate how good a phyllotaxis measure is from a plant phenotyping experiment. To get data to play with and explore all possible case scenarios, we also designed a program to generate phyllotaxis data and simulate typical errors produced by a phenotyping experiment. This tutorial explains: 1) the context in which such a tool is useful (what is a phyllotaxis measure ? What kind of phenotyping experiment ? Why do need to evaluate your results ? What are typical errors you want to detect ?) 2) how to download and use the two programs ('sm-dtw' and the generator of phyllotaxis data) 3) how to play with the programs thanks to pedagogical demonstrator notebooks. In brief, there are 3 notebooks that are meant to be run as three successive steps: step1 / Notebook 1: it allows anybody to simulate phyllotaxis data (pair of sequences consisting of ground truth sequences and their error-prone measures), step2 / Notebook 2: assess the measure performance with our new program ‘sm-dtw’ (detect errors and quantify precision) step3/Notebook 3: control that sm-dtw program correctly interprets the differences between the measure and its ground truth reference.
Plant Phenotyping, assessment, tree structure, phyllotaxis, Dynamical Time Warping
Plant Phenotyping, assessment, tree structure, phyllotaxis, Dynamical Time Warping
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