26   Artículos

 
en línea
Jing Han, Junxian Guo, Zhenzhen Zhang, Xiao Yang, Yong Shi and Jun Zhou    
Herein, we propose a new method based on Fourier-transform near-infrared spectroscopy (FT-NIR) for detecting impurities in seed cotton. Based on the spectral data of 152 seed cotton samples, we screened the characteristic wavelengths in full-band spectra... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Lai Zhi Yong, Siti Khairunniza-Bejo, Mahirah Jahari and Farrah Melissa Muharam    
Basal Stem Rot (BSR), a disease caused by Ganoderma boninense (G. boninense), has posed a significant concern for the oil palm industry, particularly in Southeast Asia, as it has the potential to cause substantial economic losses. The breeding programme ... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Siyao Yu, Haoran Bu, Xue Hu, Wancheng Dong and Lixin Zhang    
In order to explore the feasibility of rapid non-destructive detection of cotton leaf chlorophyll content during the growth stage, this study utilized hyperspectral technology combined with a feature variable selection method to conduct quantitative dete... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Joel B. Johnson, Kerry B. Walsh and Mani Naiker    
This study compared the performance of near-infrared spectroscopy (NIRS) and mid-infrared spectroscopy (MIRS) for the prediction of moisture, protein, total phenolic content (TPC), ferric reducing antioxidant potential (FRAP) and total monomeric anthocya... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yue Zhang, Yang Li, Xiang Han, Ang Gao, Shuaijie Jing and Yuepeng Song    
Achieving fast and accurate prediction of the fruit mechanical damage area is important to improve the accuracy and efficiency of apple quality grading. In this paper, the spectral data of all samples in the wavelength range from 376 to 1011 nm were coll... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Jing Yuan, Bo Yu, Changxiang Yan, Junqiang Zhang, Ning Ding and Youzhi Dong    
In this study, a joint selection method of sensitive wavelength, optimal spectral resolution and signal-to-noise ratio of soil water content is proposed, which comprehensively considers the joint influence of spectral wavelength, spectral resolution and ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Andrzej Bielski and Cezary Tos    
This study examines the chlorophyll a content and turbidity in the shallow dam reservoir of Lake Dobczyce. The analysis of satellite images for thirteen wavelength ranges enabled the selection of wavelengths applicable for a remote determination of chlor... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Loganathan Agilandeeswari, Manoharan Prabukumar, Vaddi Radhesyam, Kumar L. N. Boggavarapu Phaneendra and Alenizi Farhan    
Hyperspectral imaging (HSI), measuring the reflectance over visible (VIS), near-infrared (NIR), and shortwave infrared wavelengths (SWIR), has empowered the task of classification and can be useful in a variety of application areas like agriculture, even... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Bu Lv, Ziling Liu, Yu Chen, Shuaiqin Lan, Jing Mao, Zhifeng Gu, Aimin Wang, Feng Yu, Xing Zheng and Hebert Ely Vasquez    
Light is one of the most important environmental factors affecting the growth and reproduction of algae. In this study, the effect of various LED colors on the productivity, chlorophyll (Chl-a, Chl-b, and total Chl), protein, and carbohydrate content of ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Sunghyun So, Nakwon Jeong, Aran Song, Jungho Hwang, Daehae Kim and Changyeop Lee    
It is important to monitor the temperature and H2O concentration in a large combustion environment in order to improve combustion (and thermal) efficiency and reduce harmful combustion emissions. However, it is difficult to simultaneously measure both in... ver más
Revista: Applied Sciences    Formato: Electrónico

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