Data underpinning "Biochemical Profile of Heritage and Modern Apple Cultivars and Application of Machine Learning Methods to Predict Usage, Age, and Harvest Season"
Maria Anastasiadi
Leon Terry
Sally Redfern
Fady Mohareb
Mark Berry
10.17862/cranfield.rd.5002442.v1
https://cord.cranfield.ac.uk/articles/dataset/Data_underpinning_Biochemical_Profile_of_Heritage_and_Modern_Apple_Cultivars_and_Application_of_Machine_Learning_Methods_to_Predict_Usage_Age_and_Harvest_Season_/5002442
<p>This dataset contains the quantitative data used for statistical
analysis and predictive modelling in the paper entitled "Biochemical
Profile of Heritage and Modern Apple Cultivars and Application of
Machine Learning Methods to Predict Usage, Age, and Harvest Season". <br></p><p>Specifically it contains concentration of phenolic compounds per Fresh
weight in the whole apples as well as sugars and organic acids. In
addition the phenolic content of individual tissues (peel, flesh, seeds)
is uploaded<b>.</b> </p>
2017-06-05 08:32:05
Malus
phenolic compounds
sugars
organic acids
amygdalin
predictive modelling
machine learning
Bioinformatics
Biochemistry
Analytical Chemistry not elsewhere classified