Convolutional Neural Network-Based Models for Near-Infrared Prediction of Nutritional Quality in Multi-Product Animal Feeds

Near-infrared spectroscopy (NIRS) is widely used for rapid and non-destructive evaluation of feed nutritional quality, but robust calibration remains challenging for heterogeneous multi-product feed datasets. This study evaluated convolutional neural network (CNN)-based models for predicting crude p...

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Egile Nagusiak:	Xueping Yang, Zhengling Liu, Fuyu Yang, Yanli Lin, Paolo Berzaghi, Salvador Castillo-Girones
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2026-05-01
Saila:	Animals
Gaiak:	near-infrared spectroscopy animal feed convolutional neural network XGBoost algorithm Grad-CAM
Sarrera elektronikoa:	https://www.mdpi.com/2076-2615/16/11/1676
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