标题
Classification of seven Iranian wheat varieties using texture features
作者
关键词
-
出版物
EXPERT SYSTEMS WITH APPLICATIONS
Volume 199, Issue -, Pages 117014
出版商
Elsevier BV
发表日期
2022-03-30
DOI
10.1016/j.eswa.2022.117014
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Detection of impurities in wheat using terahertz spectral imaging and convolutional neural networks
- (2021) Yin Shen et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Deep learning-based appearance features extraction for automated carp species identification
- (2020) Ashkan Banan et al. AQUACULTURAL ENGINEERING
- Multiclass classification of dry beans using computer vision and machine learning techniques
- (2020) Murat Koklu et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Non-destructive identification of slightly sprouted wheat kernels using hyperspectral data on both sides of wheat kernels
- (2020) Liu Zhang et al. BIOSYSTEMS ENGINEERING
- Online detection of naturally DON contaminated wheat grains from China using Vis-NIR spectroscopy and computer vision
- (2020) Xueming He et al. BIOSYSTEMS ENGINEERING
- Structured-illumination reflectance imaging for the detection of defects in fruit: Analysis of resolution, contrast and depth-resolving features
- (2019) Yuzhen Lu et al. BIOSYSTEMS ENGINEERING
- Towards a real-time sorting system: Identification of vitreous durum wheat kernels using ANN based on their morphological, colour, wavelet and gaborlet features
- (2019) Esra Kaya et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Machine vision system for classification of bulk raisins using texture features
- (2019) Mostafa Khojastehnazhand et al. JOURNAL OF FOOD ENGINEERING
- An optimal color image multilevel thresholding technique using grey-level co-occurrence matrix
- (2017) S. Pare et al. EXPERT SYSTEMS WITH APPLICATIONS
- An intelligent system for quality measurement of Golden Bleached raisins using two comparative machine learning algorithms
- (2017) Navab Karimi et al. MEASUREMENT
- Wheat grain classification by using dense SIFT features with SVM classifier
- (2016) Murat Olgun et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Extended local binary patterns for face recognition
- (2016) Li Liu et al. INFORMATION SCIENCES
- Apple disease classification using color, texture and shape features from images
- (2015) Shiv Ram Dubey et al. Signal Image and Video Processing
- Edge magnitude based multilevel thresholding using Cuckoo search technique
- (2013) Rutuparna Panda et al. EXPERT SYSTEMS WITH APPLICATIONS
- Comparison of Visible–Near Infrared and Short Wave Infrared hyperspectral imaging for the evaluation of rainbow trout freshness
- (2013) Mostafa Khojastehnazhand et al. FOOD RESEARCH INTERNATIONAL
- A comparative study on local binary pattern (LBP) based face recognition: LBP histogram versus LBP image
- (2013) Bo Yang et al. NEUROCOMPUTING
- Identification of nine Iranian wheat seed varieties by textural analysis with image processing
- (2012) Alireza Pourreza et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Prediction of rainfall time series using modular soft computingmethods
- (2012) C.L. Wu et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Particulate matter characterization by gray level co-occurrence matrix based support vector machines
- (2012) K. Manivannan et al. JOURNAL OF HAZARDOUS MATERIALS
- Quality classification of cooked, sliced turkey hams using NIR hyperspectral imaging system
- (2010) Gamal ElMasry et al. JOURNAL OF FOOD ENGINEERING
- Detection of insect-damaged wheat kernels using near-infrared hyperspectral imaging
- (2009) C.B. Singh et al. JOURNAL OF STORED PRODUCTS RESEARCH
- Classification of cereal grains using wavelet, morphological, colour, and textural features of non-touching kernel images
- (2008) R. Choudhary et al. BIOSYSTEMS ENGINEERING
- Comparison of illuminations to identify wheat classes using monochrome images
- (2008) A. Manickavasagan et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Wheat class identification using monochrome images
- (2007) A. Manickavasagan et al. JOURNAL OF CEREAL SCIENCE
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