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of 10
pro vyhledávání: '"Mercelin Francis"'
Autor:
Mercelin Francis, Kalaiarasi Sonai Muthu Anbananthen, Deisy Chelliah, Subarmaniam Kannan, Sridevi Subbiah, Jayakumar Krishnan
Publikováno v:
Emerging Science Journal, Vol 7, Iss 2, Pp 480-497 (2023)
Deep learning and its models have provided exciting solutions in various image processing applications like image segmentation, classification, labeling, etc., which paved the way to apply these models in agriculture to identify diseases in agricultu
Externí odkaz:
https://doaj.org/article/fd80ef6c54094036ace60f1d9a012d8c
Autor:
C. Deisy, Mercelin Francis
Publikováno v:
Archives of Computational Methods in Engineering. 28:1129-1145
Disease detection and classification based on the disease spot found on the leaves is of great importance in improving the agricultural productivity. This paper provides a comprehensive overview of the prevailing applications of computer vision and d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1bfa24dd2bd211aa0dd9a9407f83b24
https://doi.org/10.1007/s11831-020-09407-3
https://doi.org/10.1007/s11831-020-09407-3
Autor:
Mercelin Francis, C. Deisy
Publikováno v:
2019 6th International Conference on Signal Processing and Integrated Networks (SPIN).
Convolutional Neural Network is the base of all deep learning models. Therefore a Convolutional Neural Network model is created and developed to perform plant disease detection and classification using apple and tomato leaf images of healthy and dise
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e9efc6a145c217aa9183f8b73385f1c
https://doi.org/10.1109/spin.2019.8711701
https://doi.org/10.1109/spin.2019.8711701
Autor:
Mercelin Francis, C. Deisy
This chapter explores the prevailing segmentation methods to extract the target object features, in the field of plant pathology for disease diagnosis. The digital images of different plant leaves are taken for analysis as most of the disease symptom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d934222e33b789cad6db86705ad3f358
https://doi.org/10.4018/978-1-5225-5775-3.ch013
https://doi.org/10.4018/978-1-5225-5775-3.ch013
Autor:
Malik, Arun1 (AUTHOR), Vaidya, Gayatri2 (AUTHOR), Jagota, Vishal3 (AUTHOR), Eswaran, Sathyapriya4 (AUTHOR), Sirohi, Akash1 (AUTHOR), Batra, Isha1 (AUTHOR), Rakhra, Manik1 (AUTHOR), Asenso, Evans5 (AUTHOR)
Publikováno v:
Journal of Food Quality. 4/8/2022, p1-12. 12p.
Autor:
Francis, Mercelin, Deisy, C.
Publikováno v:
Archives of Computational Methods in Engineering; May2021, Vol. 28 Issue 3, p1129-1145, 17p
Autor:
P. Swarnalatha, S. Prabu
'Deep Learning Techniques for Cloud-Based Industrial IoT aims to demonstrate how computer scientists and engineers of today might employ artificial intelligence in practical applications with the emerging cloud and IoT technologies. The book also gat
This book includes the papers presented in 2nd International Conference on Image Processing and Capsule Networks [ICIPCN 2021]. In this digital era, image processing plays a significant role in wide range of real-time applications like sensing, autom
In the era of social connectedness, people are becoming increasingly enthusiastic about interacting, sharing, and collaborating through online collaborative media. However, conducting sentiment analysis on these platforms can be challenging, especial
Image data has portrayed immense potential as a foundation of information for numerous applications. Recent trends in multimedia computing have witnessed a rapid growth in digital image collections, resulting in a need for increased image data manage