Zobrazeno 1 - 10
of 17
pro vyhledávání: '"SANKET DAN"'
Publikováno v:
Indian Journal of Animal Sciences, Vol 93, Iss 04 (2023)
Maintaining the purity of pig breeds is an essential task for their economic value. The traditional breed identification methods through coat colour are prone to error due to huge intra-breed variation. This paper uses principal component Analysis (P
Externí odkaz:
https://doaj.org/article/9afd200ad0164cc5aff6509ab5abd5fd
Publikováno v:
Applied Biological Research. 25:62-70
Autor:
Satyendra Nath Mandal, Kaushik Mukherjee, Sanket Dan, Pritam Ghosh, Shubhajyoti Das, Subhranil Mustafi, Kunal Roy, Ashis Chakraborty
Publikováno v:
Journal of The Institution of Engineers (India): Series B. 104:181-192
Publikováno v:
International Journal of Advances in Agricultural Science and Technology. 9:8-26
Hyperspectral Imaging has become an important method in monitoring vegetation and crops and producing information regarding onset of diseases. The availability of spectrometers in the market is not only costly but also requires standard-operating-pro
Autor:
Kaushik Mukherjee, Subhranil Mustafi, Pritam Ghosh, Satyendra Nath Mandal, Sanket Dan, Kunal Roy
Publikováno v:
Acta Scientific Agriculture. 5:24-32
Autor:
Sanket Dan, Shubhajyoti Das, Subhranil Mustafi, Kunal Roy, Kaushik Mukherjee, Satyendra Nath Mandal, Santanu Banik, Syamal Naskar
Publikováno v:
2021 4th International Conference on Recent Trends in Computer Science and Technology (ICRTCST).
Autor:
Subhranil Mustafi, Kaushik Mukherjee, Pritam Ghosh, Kunal Roy, Sanket Dan, Dilip Kumar Hajra, Santanu Banik, Satyendra Nath Mandal
Publikováno v:
Journal of The Institution of Engineers (India): Series B. 101:573-584
In this paper, an attempt has been made to develop a model to decide with precision the breed identity of individual goat by using its image. For image-based multi-class classification tasks, CNNs have been found to be the best tool. But selecting th
Autor:
Kaushik Mukherjee, Sanket Dan, Subhranil Mustafi, Dilip Kumar Hajra, Satyendra Nath Mandal, Santanu Banik, Kunal Roy, Pritam Ghosh
Publikováno v:
Science & Technology Journal. 7:78-88
Image classification using fully connected neural network is not efficient due to huge number of parameters in each layer. In this paper, we propose a Neuro-Statistic model for classification of five different pig breeds from pig images. The model co
Autor:
Pritam Ghosh, Kaushik Mukherjee, Sanket Dan, Santanu Banik, Subhranil Mustafi, Satyendra Nath Mandal, Kunal Roy
Publikováno v:
Deep Learning for Unmanned Systems ISBN: 9783030779382
Accurate and reliable breed identification of domestic animals from images is one of the most promising but challenging tasks in intelligent livestock management. Traditional methods for animal breed identification are very costly and time consuming.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f1e5309a46f154c0b85ab5cbdb48e9b
https://doi.org/10.1007/978-3-030-77939-9_12
https://doi.org/10.1007/978-3-030-77939-9_12
Autor:
Kunal Roy, Sanket Dan, Kaushik Mukherjee, Pritam Ghosh, Subhranil Mustafi, Satyendra Nath Mandal
Publikováno v:
IoT-based Intelligent Modelling for Environmental and Ecological Engineering ISBN: 9783030711719
Agriculture is the primary source of livelihood to many countries around the globe and contributes to about 6.9% of the world’s total economic production and worth about $5,084,800 million. Therefore, progressive growth in agriculture is very much
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0aab7541e1ff1feedeeab291b3793b2d
https://doi.org/10.1007/978-3-030-71172-6_4
https://doi.org/10.1007/978-3-030-71172-6_4