Similar Papers

Paper Title
Journal
Date
Author
Early Detection and Classification of Apple Leaf Diseases by utilizing IFPA Genetic Algorithm with MC-SVM, SVI and Deep Learning Methods
Donu Jose ... K Santhi
Indian Journal Of Science And Technology | VOL. 15
Donu Jose, et. al.Donu Jose ... K Santhi
05 Aug 2022
A robust deep learning approach for tomato plant leaf disease localization and classification
Marriam Nawaz ... Jungeun Kim
Scientific Reports | VOL. 12
Marriam Nawaz, et. al.Marriam Nawaz ... Jungeun Kim
03 Nov 2022
SMoGW-based deep CNN: Plant disease detection and classification using SMoGW-deep CNN classifier
Archana Buddham Pahurkar ... Ravindra Madhukarrao Deshmukh
Web Intelligence | VOL. 22
Archana Buddham Pahurkar, et. al.Archana Buddham Pahurkar ... Ravindra Madhukarrao Deshmukh
22 Apr 2024
H2K – A robust and optimum approach for detection and classification of groundnut leaf diseases
K Suganya Devi ... Sivaji Bandhopadhyay
Computers and Electronics in Agriculture | VOL. 178
K Suganya Devi, et. al.K Suganya Devi ... Sivaji Bandhopadhyay
06 Oct 2020
View more papers

More From: Multimedia Tools and Applications

Paper Title
Journal
Date
Author
Dynamic reference camera selection for free-viewpoint video multicast streaming
Árpád Huszák
Multimedia Tools and Applications | VOL. -
Árpád HuszákÁrpád Huszák
05 Feb 2025
Partitioned neural network training via synthetic intermediate labels
Cevat Volkan Karadag ... Nezih Topaloglu
Multimedia Tools and Applications | VOL. -
Cevat Volkan Karadag, et. al.Cevat Volkan Karadag ... Nezih Topaloglu
05 Feb 2025
Chatbot in education: trends, personalisation, and techniques
Shaidah Jusoh ... Rabiah Abdul Kadir
Multimedia Tools and Applications | VOL. -
Shaidah Jusoh, et. al.Shaidah Jusoh ... Rabiah Abdul Kadir
05 Feb 2025
Improved multi-class brain tumor mri classification with ds-net: a patch-based deep supervision approach
Akash Verma ... Arun Kumar Yadav
Multimedia Tools and Applications | VOL. -
Akash Verma, et. al.Akash Verma ... Arun Kumar Yadav
05 Feb 2025
View more papers

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.