Automated system for detecting jute plant disease using image processing and machine learning integrated with mobile application

Automated system for detecting jute plant disease using image processing and machine learning integrated with mobile application

Cataloged from PDF version of thesis report.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Joyee, Faiza Nuzhat, Mahsa, Nuzhat Ashraf, Reza, Zarreen Naowal
Άλλοι συγγραφείς:	Ali, Md. Haidar
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	BRAC University 2016
Θέματα:	CSE Computer science and engineering Jute plant disease Texture analysis Hue based segmentation SVM classifier
Διαθέσιμο Online:	http://hdl.handle.net/10361/5303

Παρόμοια τεκμήρια

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Problems of jute sector,
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The market prospect or export potential of diversified jute products in Bangladesh
ανά: Peu, Nafisa Islam
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সোনালি আশা: Bangabandhu Jute and Textile Museum, Tarabo, Rupganj, Narayanganj
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A novel approach for detecting and recognizing mathematical symbols
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Journal of Plant Diseases and Protection

Study on the expression of vacuolar proton PUMP ATPase subunit F that contributes in abiotic stress tolerance of Jute (corchorus olitorious)
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Έκδοση: (2011)

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Voice impersonation detection using LSTM based RNN and explainable AI
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2D Log gabor and SVD based parallel texture feature extraction usingNVIDIA GPU
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Context aware energy allocation by auction based method in wireless sensor networks
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Speed limit traffic sign recognition in night mode based on deformable spatial pyramid
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LVQ and HOG based speed limit traffic signs detection and categorization
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Plant propagation : principles and practices /
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