AIMC Topic: Lycium

Clear Filters Showing 1 to 10 of 13 articles

A new framework for evaluating land suitability for Goji (Lycium barbarum L.) cultivation across China.

Journal of environmental management
As a valuable Chinese medicinal herb and functional food, Goji (Lycium barbarum L.) berries have been consumed for more than 4500 years in China and have received extensive international attention. However, stakeholders have adopted traditional manag...

Near-infrared spectroscopy coupled with machine learning algorithms based on L1-norm and L21-norm to identify the geographical origins of Chinese wolfberry.

Food chemistry
The nutritional value of Chinese wolfberry varies depending on different geographical origins, even at the regional level. Therefore, a non-destructive and effective method has important implications for identifying the geographical origins of Chines...

Identification of syrup adulteration in wolfberry honey using CNN-CBAM-SVM combined with H NMR.

Food chemistry
To identify syrup adulteration in honey, a deep learning model based on the CNN-CBAM-SVM architecture combined with H NMR spectra was developed. The traditional CNN model was enhanced by incorporating the CBAM module and replacing the fully connected...

Advanced stability prediction and mechanism study of goji berry beverage via ultrasound-assisted homogenization utilizing genetic algorithm-based backpropagation neural networks.

Food chemistry
Traditional cloudy goji berry beverages (CGBs) preparation methods often cause irreversible phase separation during sterilization and require high homogenization pressures. However, combined ultrasound and homogenization (US-HPH) technology achieves ...

Rapid and accurate identification and quantification of Lycium barbarum L. components: Integrating deep learning and NMR for nutritional assessment.

Food research international (Ottawa, Ont.)
Lycium barbarum L. (L. barbarum), revered for its nutritional and commercial value, exhibits variable nutritional contents depending on the consumption method. This study introduces an innovative approach, the Identification and Quantification of L.b...

Multilayered visual metabolomics analysis framework for enhanced exploration of functional components in wolfberry.

Food chemistry
Wolfberry, regarded as a nutritious fruit, has garnered significant attention in the food industry due to potential health benefits. However, the tissue-specific distribution and dynamic accumulation patterns of nutritional metabolites such as flavon...

Predicting leaf nitrogen content in wolfberry trees by hyperspectral transformation and machine learning for precision agriculture.

PloS one
Leaf nitrogen content (LNC) is an important indicator for scientific diagnosis of the nutrition status of crops. It plays an important role in the growth, yield and quality of wolfberry. This study aimed to develop new spectral indices (NSIs) and con...

The combination of HSI and NMR techniques with deep learning for identification of geographical origin and GI markers of Lycium barbarum L.

Food chemistry
Lycium barbarum L. (L. barbarum) is renowned worldwide for its nutritional and medicinal benefits. Rapid and accurate identification of L.barbarum's geographic origin is essential because its nutritional content, medicinal efficacy, and market price ...

Leveraging machine learning to unravel the impact of cadmium stress on goji berry micropropagation.

PloS one
This study investigates the influence of cadmium (Cd) stress on the micropropagation of Goji Berry (Lycium barbarum L.) across three distinct genotypes (ERU, NQ1, NQ7), employing an array of machine learning (ML) algorithms, including Multilayer Perc...

Front-face excitation-emission matrix fluorescence spectroscopy combined with interpretable deep learning for the rapid identification of the storage year of Ningxia wolfberry.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Ningxia wolfberry stored for many years may be disguised as fresh wolfberry by unscrupulous traders and sold for huge profits. In this work, the front-face excitation-emission matrix (FF-EEM) fluorescence spectroscopy coupled with interpretable deep ...