The impact of high-quality data on the assessment results of visible/near-infrared hyperspectral imaging and development direction in the food fields: a review

H Xu, J Ren, J Lin, S Mao, Z Xu, Z Chen, J Zhao… - Journal of Food …, 2023 - Springer
Over the past decades, food quality and safety have seriously been disturbing public health.
Traditional monitoring methods of food-quality evaluation have been time consuming and …

[HTML][HTML] Recent progress and future prospects for mechanized harvesting of fruit crops with shaking systems

Y Pu, S Wang, F Yang, R Ehsani, L Zhao, C Li… - International Journal of …, 2023 - ijabe.org
Mechanized harvesting technologies with shaking systems for fruit industry have been
widely investigated and significantly developed over the past several decades which were …

Combination of hyperspectral imaging and machine learning models for fast characterization and classification of municipal solid waste

J Tao, Y Gu, X Hao, R Liang, B Wang, Z Cheng… - Resources …, 2023 - Elsevier
Determining thermochemical properties and eliminating inorganic components of municipal
solid waste (MSW) are crucial to its thermochemical treatment. Traditional characterization …

Metabolic profiling of blueberries (Vaccinium Spp.) to quantitatively and qualitatively assess bruise damage and fruit deterioration

Z Zheng, Z An, Y Yang, J Chen, X Liu, L Lu - Postharvest Biology and …, 2023 - Elsevier
Bruise damage is a type of subcutaneous tissue failure in fresh produce and may seriously
affect postharvest quality, limiting machine harvesting of blueberries for fresh resale. In the …

Characterization of ash content in wheat flour using data fusion

J Li, C Liu, Y Yin, X Sun, J Wu - Infrared Physics & Technology, 2023 - Elsevier
Ash detection played an important role in wheat flour quality testing. In this work, we
proposed a method for the ash content detection in wheat flour, which based on …

Hyperspectral imaging-based early damage degree representation of apple: a method of correlation coefficient

P Zhang, H Wang, H Ji, Y Li, X Zhang… - Postharvest Biology and …, 2023 - Elsevier
Early damage detection of fruit is a challenge in the postharvest treatment of agricultural
products, especially the lack of early damage degree representation. In this study, the …

Wavelength and texture feature selection for hyperspectral imaging: a systematic literature review

M Rogers, J Blanc-Talon, M Urschler… - Journal of Food …, 2023 - Springer
Over the past two decades, hyperspectral imaging has become popular for non-destructive
assessment of food quality, safety, and crop monitoring. Imaging delivers spatial information …

Mechanical damages and packaging methods along the fresh fruit supply chain: A review

M Lin, OA Fawole, W Saeys, D Wu, J Wang… - Critical Reviews in …, 2023 - Taylor & Francis
Mechanical damage of fresh fruit occurs throughout the postharvest supply chain leading to
poor consumer acceptance and marketability. In this review, the mechanisms of damage …

Adaptively spatial feature fusion network: an improved UAV detection method for wheat scab

W Bao, W Liu, X Yang, G Hu, D Zhang, X Zhou - Precision Agriculture, 2023 - Springer
Scab is one of the most important diseases in wheat. Rapid and accurate detection of wheat
scab under farmland conditions is essential for timely and effectively managing the disease …

Quantitative study of impact damage on yellow peaches based on reflectance, absorbance and Kubelka–Munk spectral data

B Li, F Zhang, Y Liu, H Yin, J Zou, A Ou-Yang - RSC advances, 2022 - pubs.rsc.org
Impact damage is one of the main forms of damage during the postharvest transportation
and processing of yellow peaches. Thus, a quantitative prediction of the impact damage …