Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Early bruise detection, classification and prediction in strawberry using Vis-NIR hyperspectral imaging Subject The topic of the resource Bruise level classification and prediction; Early bruise detection; Hyperspectral image (HSI); Strawberry Description An account of the resource The most frequent kind of damage to strawberries is bruising. However, most of the bruises are so barely perceptible at an early stage on the surface, that detection of them with the human eye is quite challenging. This study proposes a method for accurately detecting and classifying the damage using reflectance imaging spectroscopy. In order to carry out the study, an experiment was devised to artificially induce bruises and a dataset was generated at different bruise intervals. A model for detecting and classifying bruises at their latent stage was developed using machine learning classifiers, including support vector machines (SVM), k-nearest neighbors (KNN), linear discriminant analysis (LDA), random forest (RF), and decision tree (DT), to investigate the changes over time after bruise occurrence on the detection performance. Regression models for the prediction of bruising time were developed using partial least square regression (PLSR), RF, gradient boosting (GB), support vector regression (SVR), and DT. Among the compared models, both SVM and LDA could achieve 99.99 % classification accuracy. RF was regarded as being the most advisable for detection and prediction jobs due to its high performance. It achieved MSE of 0.052 and R2 of 0.989 for prediction. 2024 Elsevier Ltd Creator An entity primarily responsible for making the resource Shanthini K.S.; Francis J.; George S.N.; George S.; Devassy B.M. Source A related resource from which the described resource is derived Food Control, Vol-167 Publisher An entity responsible for making the resource available Elsevier Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2025-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.foodcont.2024.110794" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.foodcont.2024.110794</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201208288&amp;doi=10.1016%2Fj.foodcont.2024.110794&amp;partnerID=40&amp;md5=b580b6ac32fb3f39755e102f709904a8" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201208288&amp;doi=10.1016%2fj.foodcont.2024.110794&amp;partnerID=40&amp;md5=b580b6ac32fb3f39755e102f709904a8</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9567135; CODEN: FOOCE Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Shanthini K.S., Department of Electronics and Communication Engineering, National Institute of Technology Calicut, Kerala, India; Francis J., Department of Computer Science, Christ University, Karnataka, Bangalore, India; George S.N., Department of Electronics and Communication Engineering, National Institute of Technology Calicut, Kerala, India; George S., Department of Computer Science, Norwegian University of Science and Technology, Gjik, Norway; Devassy B.M., Department of Computer Science, Norwegian University of Science and Technology, Gjik, Norway