Tea moisture content detection with multispectral and depth images

[1]  Hong-Ju He,et al.  Non-Destructive and rapid evaluation of staple foods quality by using spectroscopic techniques: A review , 2016, Critical reviews in food science and nutrition.

[2]  Norashidah Md Din,et al.  Affine versus projective transformation for SIFT and RANSAC image matching methods , 2015, 2015 IEEE International Conference on Signal and Image Processing Applications (ICSIPA).

[3]  Da-Wen Sun,et al.  A polarized hyperspectral imaging system for in vivo detection: Multiple applications in sunflower leaf analysis , 2019, Comput. Electron. Agric..

[4]  F. Ma,et al.  Rapid and Non-destructive Detection of Iron Porphyrin Content in Pork Using Multispectral Imaging Approach , 2016, Food Analytical Methods.

[5]  Seongmin Kim,et al.  Application of Near Infrared Reflectance Spectroscopy for Rapid and Non-Destructive Discrimination of Hulled Barley, Naked Barley, and Wheat Contaminated with Fusarium , 2018, Sensors.

[6]  L. Decin,et al.  Theoretical model atmosphere spectra used for the calibration of infrared instruments , 2007, 0708.4120.

[7]  Mohd Shafry Mohd Rahim,et al.  Enhancement of template-based method for overlapping rubber tree leaf identification , 2016, Comput. Electron. Agric..

[8]  Hongbin Pu,et al.  Feasibility of using hyperspectral imaging to predict moisture content of porcine meat during salting process. , 2014, Food chemistry.

[9]  Lei Guo,et al.  Wheat yellow rust monitoring by learning from multispectral UAV aerial imagery , 2018, Comput. Electron. Agric..

[10]  Hanping Mao,et al.  Visualization research of moisture content in leaf lettuce leaves based on WT‐PLSR and hyperspectral imaging technology , 2018 .

[11]  Wang Ning,et al.  Review of hyperspectral image technology for non-destructive inspection of fruit quality , 2007 .

[12]  Andrey V. Veniaminov,et al.  Calibration of the spectral sensitivity of instruments for the near infrared region , 2011 .

[13]  Michele De Luca,et al.  Classification of moroccan olive cultivars by linear discriminant analysis applied to ATR–FTIR spectra of endocarps , 2012 .

[14]  Zhengyou Zhang,et al.  Camera calibration with one-dimensional objects , 2002, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[15]  Martino Pesaresi,et al.  Multi scale Harris corner detector based on Differential Morphological Decomposition , 2011, Pattern Recognit. Lett..

[16]  Zhangfeng Zhao,et al.  Visual detection of the moisture content of tea leaves with hyperspectral imaging technology , 2019, Journal of Food Engineering.

[17]  Kok Seng Chua,et al.  Efficient computations for large least square support vector machine classifiers , 2003, Pattern Recognit. Lett..

[18]  A. Bucholtz,et al.  Rayleigh-scattering calculations for the terrestrial atmosphere. , 1995, Applied optics.

[19]  Hsuan-Yu Chen,et al.  Use of Temperature and Humidity Sensors to Determine Moisture Content of Oolong Tea , 2014, Sensors.

[20]  Wei Liu,et al.  Potential of multispectral imaging for real-time determination of colour change and moisture distribution in carrot slices during hot air dehydration. , 2016, Food Chemistry.