Efficient extraction of deep image features using convolutional neural network (CNN) for applications in detecting and analysing complex food matrices
Background The development of techniques and methods for rapidly and reliably detecting
and analysing food quality and safety products is of significance for the food industry …
and analysing food quality and safety products is of significance for the food industry …
Miniaturized NIR spectroscopy in food analysis and quality control: Promises, challenges, and perspectives
The ongoing miniaturization of spectrometers creates a perfect synergy with the common
advantages of near-infrared (NIR) spectroscopy, which together provide particularly …
advantages of near-infrared (NIR) spectroscopy, which together provide particularly …
Principles and applications of miniaturized near‐infrared (NIR) spectrometers
This review article focuses on the principles and applications of miniaturized near‐infrared
(NIR) spectrometers. This technology and its applicability has advanced considerably over …
(NIR) spectrometers. This technology and its applicability has advanced considerably over …
A review on plant high-throughput phenoty** traits using UAV-based sensors
C ** for breeding lines require a lot of time, labor and cost. In
recent years, unmanned aerial system (UAS) has paved the way for the development of field …
recent years, unmanned aerial system (UAS) has paved the way for the development of field …
Near infrared spectroscopy: A mature analytical technique with new perspectives–A review
C Pasquini - Analytica chimica acta, 2018 - Elsevier
Last decade's advances and modern aspects of near infrared spectroscopy are critically
examined and reviewed. Innovative instrumentation, highlighted by portable and imaging …
examined and reviewed. Innovative instrumentation, highlighted by portable and imaging …
Application of artificial intelligence in food industry—a guideline
Artificial intelligence (AI) has embodied the recent technology in the food industry over the
past few decades due to the rising of food demands in line with the increasing of the world …
past few decades due to the rising of food demands in line with the increasing of the world …
Tutorial: multivariate classification for vibrational spectroscopy in biological samples
Vibrational spectroscopy techniques, such as Fourier-transform infrared (FTIR) and Raman
spectroscopy, have been successful methods for studying the interaction of light with …
spectroscopy, have been successful methods for studying the interaction of light with …
Raman spectroscopic techniques for detecting structure and quality of frozen foods: principles and applications
Frozen foods are among the most popular food products and the development of techniques
for the rapid detection of their structures and quality is important for the frozen food industry …
for the rapid detection of their structures and quality is important for the frozen food industry …
Nondestructive testing methods for pesticide residue in food commodities: A review
S Sindhu, A Manickavasagan - Comprehensive Reviews in …, 2023 - Wiley Online Library
Pesticides play an important role in increasing the overall yield and productivity of
agricultural foods by controlling pests, insects, and numerous plant‐related diseases …
agricultural foods by controlling pests, insects, and numerous plant‐related diseases …
Raman spectroscopy for rapid fingerprint analysis of meat quality and security: Principles, progress and prospects
C Qu, Y Li, S Du, Y Geng, M Su, H Liu - Food Research International, 2022 - Elsevier
Meat nutrition and safety is highly related to people's health and quality of life. There is a
huge demand to rapidly analyze meat quality during product processing and storage, but …
huge demand to rapidly analyze meat quality during product processing and storage, but …