Machine learning-based non-destructive terahertz detection of seed quality in peanut

Rapid identification of peanut seed quality is crucial for public health. In this study, we present a terahertz wave imaging system using a convolutional neural network (CNN) machine learning approach. Terahertz waves are capable of penetrating the seed shell to identify the quality of peanuts witho...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Weibin Jiang, Jun Wang, Ruiquan Lin, Riqing Chen, Wencheng Chen, Xin Xie, Kan-Lin Hsiung, Hsin-Yu Chen
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2024-10-01
Schriftenreihe:	Food Chemistry: X
Schlagworte:	Peanut Aflatoxin Quality identification Terahertz imaging technology Machine learning
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S2590157524005637
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