Article

TubAR: an R Package for Quantifying Tuber Shape and Skin Traits from Images

2023-02-01

Abstract excerpt

Potato market value is heavily affected by tuber quality traits such as shape, color, and skinning. Despite this, potato breeders often rely on subjective scales that fail to precisely define phenotypes. Individual human evaluators and the environments in which ratings are taken can bias visual quality ratings. Collecting quality trait data using machine vision allows for precise measurements that will remain reli...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 6ddf3974-829b-56a1-bb66-b2091da405e2
DOI: 10.1007/s12230-022-09894-z

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

TubAR: an R Package for Quantifying Tuber Shape and Skin Traits from ImagesDOI 10.1007/s12230-022-09894-zRead

Genomic prediction for potato (Solanum tuberosum) quality traits improved through image analysis.Semantic proximity Read

Tuber shape and eye depth variation in a diploid family of Andean potatoes.Semantic proximity Read

GiNA, an Efficient and High-Throughput Software for Horticultural Phenotyping.Semantic proximity Read

ColourQuant: A High-Throughput Technique to Extract and Quantify Color Phenotypes from Plant Images.Semantic proximity Read

Open RGB imaging workflow for morphological and morphometric analysis of fruits using deep learning: a case study on almonds.Semantic proximity Read

Multi-Dimensional Machine Learning Approaches for Fruit Shape Recognition and Phenotyping in StrawberrySemantic proximity Read

Phenomics-assisted sparse testing for potato breeding.Semantic proximity Read

Multi-dimensional machine learning approaches for fruit shape phenotyping in strawberry.Semantic proximity Read

QTL for tuber morphology traits in diploid potato.Semantic proximity Read

Comprehensive Morphometric Analysis of Apple Fruits and Weighted Class Assignation using Machine LearningSemantic proximity Read

Using drone-retrieved multispectral data for phenomic selection in potato breeding.Semantic proximity Read

The genetic basis of apple shape and size unraveled by digital phenotyping.Semantic proximity Read