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[HTML][HTML] Drone image segmentation using machine and deep learning for map** raised bog vegetation communities
The application of drones has recently revolutionised the map** of wetlands due to their
high spatial resolution and the flexibility in capturing images. In this study, the drone imagery …
high spatial resolution and the flexibility in capturing images. In this study, the drone imagery …
Plant phenology recognition using deep learning: Deep-Pheno
H Yalcin - 2017 6th International Conference on Agro …, 2017 - ieeexplore.ieee.org
Monitoring phenology of agricultural plants is a critical understanding in precision
agriculture. Vital improvements can be achieved with precise detection of phenological …
agriculture. Vital improvements can be achieved with precise detection of phenological …
[PDF][PDF] Recent trends in texture classification: a review
Texture classification is used in various pattern recognition applications that possess feature-
liked appearance. This paper aims to compile the recent trends on the usage of feature …
liked appearance. This paper aims to compile the recent trends on the usage of feature …
The prediction of quality characteristics of cotton/elastane core yarn using artificial neural networks and support vector machines
EC Doran, C Sahin - Textile Research Journal, 2020 - journals.sagepub.com
Core yarn is a type of yarn that has a filament fiber in the center with a different fiber
wrapped around it. This type of yarn is of growing importance in the textile industry. It is …
wrapped around it. This type of yarn is of growing importance in the textile industry. It is …
Automatic fabric defect detection in textile images using a labview based multiclass classification approach
Nowadays the detection of fabric defects is an active research topic to detect and resolve the
difficulties faced in processing fabric in printing and knitting in textile industries. The …
difficulties faced in processing fabric in printing and knitting in textile industries. The …
[PDF][PDF] A review of recent texture classification: methods
M Venkataramana, ES Reddy… - IOSR Journal of …, 2013 - academia.edu
Texture classification is used in various pattern recognition applications that possess feature-
liked Appearance. This paper aims to compile the recent trends on the usage of feature …
liked Appearance. This paper aims to compile the recent trends on the usage of feature …
Improved quality detection technique for fruits using GLCM and multiclass SVM
AA Chandini - 2018 International Conference on Advances in …, 2018 - ieeexplore.ieee.org
Intake of healthy fruits and vegetables is vital as they are the source of energy for all living
beings. There is an increasing demand for quality in all the consumed food items …
beings. There is an increasing demand for quality in all the consumed food items …
Phenology monitoring of agricultural plants using texture analysis
H Yalcin - 2015 Fourth international conference on agro …, 2015 - ieeexplore.ieee.org
Power of computing technology to improve the efficiency in agricultural fields is becoming
increasingly more important with the current projections of expected world population growth …
increasingly more important with the current projections of expected world population growth …
Color texture classification of yarn-dyed woven fabric based on dual-side scanning and co-occurrence matrix
B **n, J Zhang, R Zhang, X Wu - Textile Research Journal, 2017 - journals.sagepub.com
Color texture classification as a part of fabric analysis is significant for textile manufacturing.
In this research, a new artificial intelligence method based on a dual-side co-occurrence …
In this research, a new artificial intelligence method based on a dual-side co-occurrence …
Recognition for woven fabric pattern based on gradient histogram
To identify woven fabric pattern, a robust recognition method is presented in this paper.
Firstly, using gray image of woven fabric through gray projection, we correct the warp …
Firstly, using gray image of woven fabric through gray projection, we correct the warp …