13   Artículos

 
en línea
Alfadhl Y. Khaled, Nader Ekramirad, Kevin D. Donohue, Raul T. Villanueva and Akinbode A. Adedeji    
The demand for high-quality apples remains strong throughout the year, as they are one of the top three most popular fruits globally. However, the apple industry faces challenges in monitoring and managing postharvest losses due to invasive pests during ... ver más
Revista: Agriculture    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
Rui Li, Huaiwen Wang, Bingbing Shen and Xingwei Yao    
In order to rapidly and non-destructively detect the residual rate of emamectin benzoate+indoxacarb pesticides on cauliflower, a study was conducted using hyperspectral technology to investigate the dissipation law of this pesticide over time. Hyperspect... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Zhiyong Zhang, Shuo Wang and Yanqing Zhang    
Water is one of the important factors affecting pork quality. In this study, near-infrared (NIR) spatially resolved (SR) spectroscopy was used to detect the water content of pork. The SR spectra of 150 pork samples were collected within the light source?... ver más
Revista: Agriculture    Formato: Electrónico

 
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
Jinyan Ju, Zhenyang Lv, Wuxiong Weng, Zongfeng Zou, Tenghui Lin, Yingying Liu, Zhentao Wang and Jinfeng Wang    
Accurate estimation of wheat leaf nitrogen concentration (LNC) is critical for characterizing ecosystem and plant physiological processes; it can further guide fertilization and other field management operations, and promote the sustainable development o... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Zhaoyang Tong, Shirui Zhang, Jingxin Yu, Xiaolong Zhang, Baijuan Wang and Wengang Zheng    
The growth and yield of crops are highly dependent on irrigation. Implementing irrigation plans that are tailored to the specific water requirements of crops can enhance crop yield and improve the quality of tomatoes. The mastery and prediction of transp... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Xintao Yuan, Xiao Zhang, Nannan Zhang, Rui Ma, Daidi He, Hao Bao and Wujun Sun    
Rapid and non-destructive estimation of the chlorophyll content in cotton leaves is of great significance for the real-time monitoring of cotton growth under verticillium wilt (VW) stress. The spectral reflectance of healthy and VW cotton leaves was dete... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Dapeng Li, Jiang Long, Ziye Tang, Longbo Han, Zhongliang Gong, Liang Wen, Hailong Peng and Tao Wen    
In this study, a multi-path Vis/NIR spectroscopy system was developed to detect the presence of Bactrocera dorsalis (Hendel) infestations of citrus fruit. Spectra were acquired for 252 citrus fruit, 126 of which were infested. Two hundred and fifty-two s... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Zhiliang Kang, Jinping Geng, Rongsheng Fan, Yan Hu, Jie Sun, Youli Wu, Lijia Xu and Cheng Liu    
The dry matter test of mango has important practical significance for the quality classification of mango. Most of the common fruit and vegetable quality nondestructive testing methods based on fluorescence hyperspectral imaging technology use a single a... ver más
Revista: Agriculture    Formato: Electrónico

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