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Feasibility of non‐destructive evaluation for apple crispness based on portable acoustic signal
Author(s) -
Liu Yang,
Cai Mingjin,
Zhang Wangyou,
Feng Wanling,
Sun Xingyuan,
Zhang Yang,
Zhou Hongli
Publication year - 2021
Publication title -
international journal of food science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.831
H-Index - 96
eISSN - 1365-2621
pISSN - 0950-5423
DOI - 10.1111/ijfs.14861
Subject(s) - signal (programming language) , acoustics , waveform , eigenvalues and eigenvectors , artificial neural network , mathematics , energy (signal processing) , linear regression , time domain , computer science , statistics , artificial intelligence , physics , telecommunications , radar , quantum mechanics , programming language , computer vision
The framework about non‐destructive evaluation of apple crispness based on portable acoustic signal. With the aim of exploring non‐destructive and rapid evaluation of apple crispness based on portable acoustic signal, the portable acoustic signal was collected; meanwhile, apple crispness was evaluated via sensory evaluation. The combination application of acoustic signal processing method, including time domain and Hilbert–Huang transform (HHT), was used to analyse the correlations with apple crispness. The correlations between apple crispness and the acoustic eigenvalues were analysed by Pearson theory. Finally, the apple crispness prediction models were established through multiple linear regression (MLR) and artificial neural network (ANN). This method has good applicability and portability in non‐destructive evaluation of crispness of agricultural products; in addition, it would be further explored as an portable APP of cell phone for consumers or retailers.