Classification of rice varieties using hyperspectral imaging with multi-dimensional fusion convolutional neural networks

Leave a Comment / Procesos Alimentarios / By
Bookmark (0)
Please login to bookmark Close

Publication date: December 2025

Source: Journal of Food Composition and Analysis, Volume 148, Part 3

Author(s): Chen Jin, Lei Zhou, Yiying Zhao, Hengnian Qi, Xiaoping Wu, Chu Zhang

Publication date: December 2025Source: Journal of Food Composition and Analysis, Volume 148, Part 3Author(s): Chen Jin, Lei Zhou, Yiying Zhao, Hengnian Qi, Xiaoping Wu, Chu Zhang Read More

Related posts:

Default ThumbnailDiscrimination of Russula vinosa Lindblad from different origins by lipidomics analysis using UHPLC-HR-AM/MS/MS Default ThumbnailIn-line evaluation of chemical compounds of green tea using leaf traits and process parameters Default ThumbnailNondestructive detection of multiple dried squid qualities by hyperspectral imaging combined with 1D-KAN-CNN Default ThumbnailRapid detection of the inclusion of cassava starch in food and medicine products using Proofman-ladder shape melting temperature isothermal amplification method Default ThumbnailReal-time microfluidic RPA chip for simultaneous identification of Atlantic cod, sablefish, and toothfish Default ThumbnailSimultaneous determination of multiple pyrazole amide fungicide residues in 12 foodstuffs by QuEChERS-HPLC-MS/MS