Article
Agricultural Engineering
Alessandro Benelli, Chiara Cevoli, Angelo Fabbri, Luigi Ragni
Summary: In this study, hyperspectral imaging was used to evaluate the ripeness of 'Hayward' kiwifruit and develop models for predicting soluble solids content and flesh firmness. The results showed that hyperspectral imaging is suitable for predicting kiwi quality attributes and their classification.
BIOSYSTEMS ENGINEERING
(2022)
Article
Agriculture, Multidisciplinary
Nikolaos L. Tsakiridis, Nikiforos Samarinas, Stylianos Kokkas, Eleni Kalopesa, Nikolaos Tziolas, George C. Zalidis
Summary: This paper proposes the use of autoencoder framework to estimate the maturity of grapes by transforming raw recorded spectra into standardized reflectance spectra. The methodology is validated by estimating the sugar content of four grape varieties, showing comparable accuracy to other studies.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
Article
Engineering, Chemical
Alejandro Rodriguez-Ortega, Nuria Aleixos, Jose Blasco, Francisco Albert, Sandra Munera
Summary: Hyperspectral imaging is an optical technique used to estimate the internal quality of fruits and vegetables by measuring the absorbance and reflectance of light radiation. This study proposed a non-destructive method based on spatially resolved spectroscopy to estimate the light penetration depth of a HSI system in persimmon fruit. The results showed that the non-destructive approach was accurate and could be used to evaluate other HSI systems for different fruits.
JOURNAL OF FOOD ENGINEERING
(2023)
Article
Horticulture
Yazad Jamshed Davur, Wiebke Kamper, Kourosh Khoshelham, Stephen J. Trueman, Shahla Hosseini Bai
Summary: Rapid assessment of fruit ripeness is crucial for reducing post-harvest losses. However, little research has been done on non-destructive estimation of avocado fruit ripeness and ripening speed. In this study, we developed a method using hyperspectral imaging and deep learning regression to directly estimate the duration until ripeness of Hass avocado fruit. Our results demonstrated the potential of combining hyperspectral imaging with deep learning to improve avocado fruit sorting and processing.
Article
Food Science & Technology
Yifeng Luo, Liyu Dai, Xu Jiang, Xiaping Fu
Summary: A line scan hyperspectral spatial frequency domain combined imaging system was developed for quantitative hyperspectral optical imaging in the spatial frequency domain in agricultural and food products. The system was calibrated using liquid phantoms and showed average errors in absorption and reduced scattering parameters of tissues. The system was used to analyze optical parameters of milk samples and showed correlation between fat and protein contents of milk with absorption and reduced scattering parameters. Future applications include milk quality evaluation and classification for agricultural products and foods.
JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION
(2022)
Article
Materials Science, Multidisciplinary
D. J. Lahneman, M. M. Qazilbash
Summary: This research investigates the propagation of SPhP in STO in the far-infrared through midinfrared spectral range using broadband, near-field nanospectroscopy. Analytical modeling of experimental data reveals the dispersion characteristics of SPhPs in STO. This work establishes STO as a platform for perovskite-based broadband far-infrared and terahertz nanophotonics.
Article
Agronomy
Ngo Minh Tri Nguyen, Nai-Shang Liou
Summary: This study used spectral data to evaluate the ripeness stages of achacha fruits and investigated the effects of fruit surface curvature on ripeness prediction. Different models were used to predict accuracy and error accuracy. Results showed that using averaged spectrum or pixel-based methods can accurately assess ripeness, and using spectral data from the central region of the fruit is a reliable choice.
Article
Optics
Jesse T. Bausell, Raphael M. Kudela
Summary: Modeling hyperspectral water-leaving radiance in coastal ecosystems using in situ inherent optical properties can reduce uncertainty and serve as an alternative or complementary method for validating satellite-derived hyperspectral data.
Article
Computer Science, Artificial Intelligence
Lingfeng Liu, Dong Ni, Liankui Dai
Summary: This work proposes an autoencoder structured hybrid optical-electrical neural network method to address the issue of extensive data flow in real-time anomaly detection in hyperspectral imaging. The method utilizes a digital micromirror device as the core optical processor to extract low-level features and employs weight binarization and a conditional subnetwork for optical computation. Case studies have shown that the proposed method significantly reduces sampling time without compromising detection accuracy.
IEEE INTELLIGENT SYSTEMS
(2023)
Editorial Material
Optics
Shian Zhang
Summary: The article discusses a new approach to information acquisition in hyperspectral imaging.
ADVANCED PHOTONICS
(2023)
Article
Optics
Yitong Li, Wenxue Chu, Yuang Liu, Donglin Ma
Summary: This paper presents a physics-informed learning method for overcoming light scattering in natural light conditions. The proposed method achieves single-shot hyperspectral imaging through scattering media, outperforming other methods in terms of recovery quality and speed.
OPTICS AND LASER TECHNOLOGY
(2024)
Article
Agronomy
Rahul Raj, Akansel Cosgun, Dana Kulic
Summary: In this study, data-driven approaches were proposed for estimating water content and classifying ripeness of strawberry fruits. The findings showed that a logarithmic model using a specific water content index achieved a correlation coefficient of 0.82 and a Root Mean Squared Error (RMSE) of 0.0092 g/g for water content estimation. Additionally, a Support Vector Machine (SVM) model using the full spectrum as input achieved over 98% accuracy for ripeness classification.
Article
Multidisciplinary Sciences
Jeremiah K. H. Lim, Qiao-Xin Li, Tim Ryan, Phillip Bedggood, Andrew Metha, Algis J. Vingrys, Bang Bui, Christine T. O. Nguyen
Summary: Hyperspectral imaging of the retina has been explored as a potential spectroscopic technique for detecting amyloid-beta protein in the eyes of Alzheimer's disease patients. The presence of A beta was found to increase hyperspectral reflectance profile both in vitro and in vivo, with significant differences observed in younger age groups. This suggests that hyperspectral imaging could serve as a non-invasive biomarker for AD.
SCIENTIFIC REPORTS
(2021)
Article
Optics
Haiquan Hu, Hao Zhou, Zhihai Xu, Qi Li, Huajun Feng, Yueting Chen, Tingting Jiang, Wenbin Xu
Summary: This study proposed a practical hyperspectral camera with a designed diffractive optical element (DOE), which achieved good spatial resolution and spectral accuracy in snapshot spectral imaging. This system had great potential in portable hyperspectral imaging system.
OPTICS AND LASERS IN ENGINEERING
(2022)
Article
Computer Science, Software Engineering
Carlos Aliaga, Menqi Xia, Xao Xie, Adrian Jarabo, Gustav Braun, Christophe Hery
Summary: We propose a method for estimating human skin properties using a hyperspectral dataset generated through simulations. Our approach learns the mapping between skin parameters and diffuse skin reflectance using a neural network. The model allows for a wider range of parameters to recover outliers and provides smooth texture manipulations of skin properties. The albedo space is robust and expands the gamut of spectral measurements of real human skin.
COMPUTER GRAPHICS FORUM
(2023)
Article
Agronomy
Karen A. Cichy, Jason A. Wiesinger, Fernando A. Mendoza
THEORETICAL AND APPLIED GENETICS
(2015)
Article
Agronomy
Amanda M. Goffnett, Christy L. Sprague, Fernando Mendoza, Karen A. Cichy
Article
Food Science & Technology
Fernando A. Mendoza, James D. Kelly, Karen A. Cichy
INTERNATIONAL JOURNAL OF FOOD PROPERTIES
(2017)
Article
Agronomy
Qibing Zhu, Jiyu Guan, Min Huang, Renfu Lu, Fernando Mendoza
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2016)
Article
Agronomy
Haiyan Cen, Renfu Lu, Qibing Zhu, Fernando Mendoza
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2016)
Article
Agricultural Engineering
C. He, Q. Zhu, M. Huang, F. Mendoza
Transactions of the ASABE
(2016)
Article
Agriculture, Multidisciplinary
Fernando A. Mendoza, Karen A. Cichy, Christy Sprague, Amanda Goffnett, Renfu Lu, James D. Kelly
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
(2018)
Article
Food Science & Technology
Haiyan Cen, Renfu Lu, Diwan P. Ariana, Fernando Mendoza
FOOD AND BIOPROCESS TECHNOLOGY
(2014)
Article
Food Science & Technology
Fernando A. Mendoza, Karen Cichy, Renfu Lu, James D. Kelly
FOOD AND BIOPROCESS TECHNOLOGY
(2014)
Article
Engineering, Chemical
Fernando Mendoza, Renfu Lu, Haiyan Cen
JOURNAL OF FOOD ENGINEERING
(2014)
Article
Agronomy
Haiyan Cen, Renfu Lu, Fernando Mendoza, Randolph M. Beaudry
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2013)
Article
Agricultural Engineering
Q. Zhu, M. Huang, R. Lu, F. Mendoza
TRANSACTIONS OF THE ASABE
(2014)
Proceedings Paper
Agronomy
Haiyan Cen, Renfu Lu, F. A. Mendoza
IV INTERNATIONAL CONFERENCE POSTHARVEST UNLIMITED 2011
(2012)
Article
Agricultural Engineering
H. Cen, R. Lu, F. A. Mendoza, D. P. Ariana
TRANSACTIONS OF THE ASABE
(2012)
Article
Agronomy
Zeyang Bao, Qihang Zhou, Yan Yu, Wei Chen, Zhenfeng Yang, Shifeng Cao, Liyu Shi
Summary: Exogenous melatonin treatment can alleviate the chilling-induced browning in cold-stored peaches by upregulating gene expression and affecting DNA methylation levels to increase phenolic accumulation.
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2024)
Article
Agronomy
Guolong Li, Zhishu Tang, Zhongxing Song, Xinbo Shi, Changle Liu, Qiang Chen, Hongbo Liu
Summary: This study investigated the accumulation of flavonoids in Chinese sour jujube fruits from five different harvest times using a combined metabolomics and transcriptomics approach. A total of 1539 differentially accumulated metabolites (DAMs) and 11592 differentially expressed genes (DEGs) were identified. The biosynthetic pathways for flavonoids, flavones, and flavanols were significantly enriched. A regulatory network for flavonoids biosynthesis was built and key genes related to flavonoid biosynthesis were identified.
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2024)
Article
Agronomy
Xuejiao Zhang, Xiaoyuan Zheng, Ruirui Yang, Qihui Wang, Lu Bai, Di Gong, Ye Han, Dov Prusky, Yang Bi
Summary: UV-C radiation promotes flavonoid synthesis in potato tuber wounds during early healing by upregulating the expression and activities of key enzymes and transcription factors involved in the flavonoid synthesis pathway, as well as increasing ABA levels and signaling.
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2024)
Article
Agronomy
Jiaqi Xiao, Yunyun Xie, Xiangjin Kong, Kuan Peng, Hong Zhu, Yueming Jiang, Hongxia Qu
Summary: The study reveals the positive role of Ca2+ ATPase in litchi energy metabolism and senescence. Higher expression of LcACAs is associated with better storability in litchi cultivars. Additionally, LcACA2 is identified as a target of LcmiR482e and ATP application can downregulate the expression of LcmiR482e, contributing to delayed senescence in litchi.
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2024)
Article
Agronomy
Asunta Mukami, Bicko Steve Juma, Cecilia Mweu, Richard Oduor, Wilton Mbinda
Summary: This study employed the CRISPR-Cas9 system to mutate genes in cassava, resulting in an extended shelf life of cassava roots and improved yield stability and farmers' income.
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2024)
Article
Agronomy
Paulo Sergio Gularte, Samara Martins Zanella, Cristiano Andre Steffens, Marceli Buss, Janaiana Catarina da Silva, Willian Coser, Aquidauana Miqueloto, Cassandro Vidal Talamini do Amarante
Summary: This study evaluated the impact of nitric oxide application on fruit quality and anaerobic metabolism products. The results showed that nitric oxide at appropriate concentrations can reduce respiration and ethylene evolution rates, preserve firmness, and reduce metabolite production and decay incidence.
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2024)
Article
Agronomy
Yiting Li, Sicong You, Shasha Wu, Mengyao Wang, Jin Song, Weijie Lan, Kang Tu, Leiqing Pan
Summary: This study aimed to compare the discrimination ability and detection limit of visible and short-wave near-infrared hyperspectral imaging features and spectral information on early implicit bruised pears. Physical characteristics were more sensitive than chemical parameters for bruised pears during postharvest storage. The changes in spectral variations at specific wavelengths could explain the bruising changes in pears. Discrimination models based on selected spectral variables could effectively identify bruised pear areas, and the combination of imaging features and spectral variables achieved higher discrimination rates.
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2024)
Article
Agronomy
Yu Du, Mengyue Wang, Mengting Tong, Dengyun Wu, Jianzhou Chu, Xiaoqin Yao
Summary: This study investigated the effects of sucrose, brassinolide (BR), and their combination on the storage quality of kale sprouts. The results showed that the combined treatment improved the growth and development of sprouts, reduced oxidative stress, and inhibited nutrient loss. Furthermore, the combination treatment maintained the antioxidant capacity and nutrient content of kale sprouts.
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2024)
Article
Agronomy
Zhiwen Hu, Jing Wei, Weimin Zhang, Long Wu, Di Gong, Yue Xiang, Jialiang Liu, Zhengke Zhang
Summary: In this study, the researchers investigated the effect of melatonin (Mel) on the phytotoxicity and residues of the fungicide prochloraz (Pcz) in mango fruit during storage. The results showed that pretreatment with Mel reduced Pcz residues and alleviated phytotoxicity in the fruit. Mel also suppressed Pcz-induced oxidative stress and enhanced the detoxification capacity of the fruit.
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2024)
Article
Agronomy
Bin Duan, Okwong Oketch Reymick, Zhaoguo Liu, Yun Zhou, Xin Wang, Zhao Feng, Nengguo Tao
Summary: The monoterpene citral can enhance disease resistance and reduce fruit decay in postharvest citrus fruit. It increases the activity of certain enzymes and the content of specific compounds, as well as triggers the accumulation of plant hormones and metabolites. Gene expression analysis reveals that citral upregulates genes involved in the jasmonic acid pathway and phenylpropanoid biosynthesis.
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2024)
Article
Agronomy
Meiqi Li, Xinhua Zhang, Jiaoqi Li, Maratab Ali, Yuting Wang, Xiuling Liu, Fujun Li, Xiaoan Li
Summary: This research aimed to investigate the potential action mechanism of gamma-aminobutyric acid (GABA) in controlling Botrytis cinerea (B. cinerea) in tomato fruit. The findings showed that GABA treatment effectively reduced the disease incidence and lesion diameter of tomato fruit caused by B. cinerea. GABA triggered defense responses and up-regulated the expression of pathogenesis-related genes, while also inhibiting the expression of ethylene synthesis genes.
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2024)
Article
Agronomy
Heeduk Oh, Marti Pottorff, Lara Giongo, Charles M. Mainland, Massimo Iorizzo, Penelope Perkins-Veazie
Summary: This study evaluated a large set of blueberry cultivars to understand the relationship between mechanical texture and appearance characteristics at harvest and after storage, and tested multiple statistical models to predict shelf-life. The results showed that fruit characteristics measured at harvest or two weeks post-harvest can predict weight loss, texture change, and fruit wrinkling. These findings provide empirical data that blueberry breeders can use to select cultivars with extended shelf-life.
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2024)
Article
Agronomy
Haitao Yu, Liuli Song, Jingjing Han, Xiaoyu Yu, Yuzhen Wu, Zhifang Yu
Summary: This study found that H2S treatment can delay the senescence process of postharvest pakchoi by regulating antioxidant system, endogenous H2S and NO metabolism. H2S increased the activities of antioxidant enzymes by up-regulating the expression of enzyme genes, reducing the accumulation of harmful substances. Furthermore, H2S increased the content of cysteine and nitrate in pakchoi by regulating the expression of related genes and enzyme activities, thus slowing down the senescence of pakchoi.
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2024)
Article
Agronomy
Jasna Mastilovic, Zarko Kevresan, Dragan Kukolj, Renata Kovac, Dragana Ubiparip Samek, Stevan Stankovski, Gordana Ostojic, Marina Deric
Summary: This study analyzes the patent portfolio and trends of sensors in postharvest of fresh produce, providing insights into the development of sensing technologies in this area. China is the leading country in patent applications, and the patent themes include produce sorting and packaging, produce storage, and the development and application of sensors. The findings highlight the significant impact of these technologies on postharvest processes, particularly in quality and safety monitoring. Moreover, they are expected to facilitate the integration of artificial intelligence into postharvest processes, enhancing the coherence and efficiency of supply chains.
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2024)
Article
Agronomy
Gal Nomberg, Gulab Chand Arya, Ekaterina Manasherova, Ofir Marinov, Oded Yarden, Hagai Cohen
Summary: Certain fleshy fruit species form a polyphenolic suberized peridermal skin to seal wounded skin and prevent invasion by pathogenic fungi.
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2024)