Zobrazeno 1 - 10
of 60
pro vyhledávání: '"SATYENDRA NATH MANDAL"'
Autor:
AVIJIT HALDAR, SANJIT MAITI, RUPAK GOSWAMI, SATYENDRA NATH MANDAL, ARKAPRABHA SHEE, BISWAJIT GOSWAMI, DHIMAN MAHATO, DIPANKAR GHORAI, KAUSHIK PAL, MADHUCHHANDA KHAN, MALAY KUMAR SAMANTA, MANAS KUMAR DAS, MOUMITA DEY GUPTA, MOUTUSI DEY, PRANAB BARMA, PRASANTA CHATTERJEE, RAHUL DEB MUKHERJEE, RAKESH ROY, SRABANI DAS, SWAGAT GHOSH, UPAMA DAS, KUNAL ROY, AYAN DAS, SAMRAT MUKHERJEE, SUBRATA KUMAR ROY, PRADIP DEY
Publikováno v:
The Indian Journal of Agricultural Sciences, Vol 94, Iss 3-1 (2024)
Integrated farming (IF) by temporal and spatial mixing of crops, livestock, fishery, and allied activities in a single farm, is considered a critical multifunctional option for smallholder farmers, who form the backbone of Indian agriculture, to ensu
Externí odkaz:
https://doaj.org/article/5f21eb9a77fa47d28454789ce9705210
Autor:
Menalsh Laishram, Satyendra Nath Mandal, Avijit Haldar, Shubhajyoti Das, Santanu Bera, Rajarshi Samanta
Publikováno v:
Animal Bioscience, Vol 36, Iss 6, Pp 980-989 (2023)
Objective Iris pattern recognition system is well developed and practiced in human, however, there is a scarcity of information on application of iris recognition system in animals at the field conditions where the major challenge is to capture a hig
Externí odkaz:
https://doaj.org/article/1ec0bcebf87f421685c3107eab84e495
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:
Vietnam Journal of Computer Science, Vol 8, Iss 1, Pp 153-175 (2021)
Various training algorithms are used in artificial neural networks for updating the weights during training the network. But, the selection of the appropriate training algorithm is dependent on the input–output mapping of dataset for which the netw
Externí odkaz:
https://doaj.org/article/d8badaf1b3df411cadef02a8da557b79
Publikováno v:
IETE Journal of Research. :1-9
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
Publikováno v:
Vietnam Journal of Computer Science, Vol 8, Iss 1, Pp 153-175 (2021)
Various training algorithms are used in artificial neural networks for updating the weights during training the network. But, the selection of the appropriate training algorithm is dependent on the input–output mapping of dataset for which the netw
Autor:
Kaushik Mukherjee, Subhranil Mustafi, Pritam Ghosh, Satyendra Nath Mandal, Sanket Dan, Kunal Roy
Publikováno v:
Acta Scientific Agriculture. 5:24-32