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Sajad Kiani
Sajad Kiani
Biosystems Engineering Department, Sari Agricultural Sciences and Natural Resources University
在 modares.ac.ir 的电子邮件经过验证
标题
引用次数
引用次数
年份
Application of electronic nose systems for assessing quality of medicinal and aromatic plant products: A review
S Kiani, S Minaei, M Ghasemi-Varnamkhasti
Journal of Applied Research on Medicinal and Aromatic Plants 3 (1), 1-9, 2016
1622016
Fusion of artificial senses as a robust approach to food quality assessment
S Kiani, S Minaei, M Ghasemi-Varnamkhasti
Journal of Food Engineering 171, 230-239, 2016
942016
A portable electronic nose as an expert system for aroma-based classification of saffron
S Kiani, S Minaei, M Ghasemi-Varnamkhasti
Chemometrics and Intelligent Laboratory Systems 156, 148-156, 2016
932016
Integration of computer vision and electronic nose as non-destructive systems for saffron adulteration detection
S Kiani, S Minaei, M Ghasemi-Varnamkhasti
Computers and Electronics in Agriculture 141, 46-53, 2017
782017
Real-time aroma monitoring of mint (Mentha spicata L.) leaves during the drying process using electronic nose system
S Kiani, S Minaei, M Ghasemi-Varnamkhasti
Measurement 124, 447-452, 2018
652018
Instrumental approaches and innovative systems for saffron quality assessment
S Kiani, S Minaei, M Ghasemi-Varnamkhasti
Journal of Food Engineering 216, 1-10, 2018
582018
Crop detection and positioning in the field using discriminant analysis and neural networks based on shape features
S Kiani, A Jafari
JOURNAL OF AGRICULTURAL SCIENCE AND TECHNOLOGY (JAST) 14 (4), 755-765, 2012
502012
Hyperspectral imaging as a novel system for the authentication of spices: A nutmeg case study
S Kiani, SM van Ruth, LWD van Raamsdonk, S Minaei
Lwt 104, 61-69, 2019
442019
A new class of low surface energy anionic surfactant for enhanced oil recovery
S Kiani, SE Rogers, M Sagisaka, S Alexander, AR Barron
Energy & fuels 33 (4), 3162-3175, 2019
362019
Hyperspectral imaging, a non-destructive technique in medicinal and aromatic plant products industry: Current status and potential future applications
S Kiani, S van Ruth, S Minaei
Computers and Electronics in Agriculture 152 (2018), 9-18, 2018
362018
Automatic on-line depth control of seeding units using a non-contacting ultrasonic sensor
S Kiani, S Kamgar, M Raoufat
International Journal of Natural and Engineering Sciences 6 (2), 39-42, 2010
352010
A portable computer-vision-based expert system for saffron color quality characterization
S Minaei, S Kiani, M Ayyari, M Ghasemi-Varnamkhasti
Journal of applied research on medicinal and aromatic plants 7, 124-130, 2017
272017
PTR-QiToF-MS and HSI for the characterization of fermented cocoa beans from different origins
V Acierno, G Fasciani, S Kiani, A Caligiani, S van Ruth
Food chemistry 289, 591-602, 2019
262019
Potential application of machine vision technology to saffron (Crocus sativus L.) quality characterization
S Kiani, S Minaei
Food chemistry 212, 392-394, 2016
262016
Facile and environmentally friendly synthesis of ultramicroporous carbon spheres: A significant improvement in CVD method
S Khodabakhshi, S Kiani, Y Niu, AO White, W Suwaileh, RE Palmer, ...
Carbon 171, 426-436, 2021
222021
An original approach for the quantitative characterization of saffron aroma strength using electronic nose
S Kiani, S Minaei, M Ghasemi-Varnamkhasti, M Ayyari
International journal of food properties 20 (sup1), S673-S683, 2017
212017
Wavelet-based crop detection and classification
S Kiani, Z Azimifar, S Kamgar
2010 18th Iranian Conference on Electrical Engineering, 587-591, 2010
162010
Geographical origin differentiation and quality determination of saffron using a portable Hyperspectral imaging system
S Kiani, H Yazdanpanah, J Feizy
Infrared Physics & Technology 131, 104634, 2023
112023
Machine vision and soil trace-based guidance-assistance system for farm tractors in soil preparation operations
S Kiani, S Kamgar, MH Raoufat
Journal of Agricultural Science 4 (7), 1, 2012
82012
Discriminating the corn plants from the weeds by using artificial neural networks
S Kiani
International Journal of Natural & Engineering Sciences 6 (3), 55-58, 2012
72012
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