Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Sirisha Adamala"'
Autor:
Manoranjan Kumar, Yash Agrawal, Sirisha Adamala, Pushpanjali, A. V. M. Subbarao, V. K. Singh, Ankur Srivastava
Publikováno v:
Water, Vol 16, Iss 16, p 2233 (2024)
The potential of generalized deep learning models developed for crop water estimation was examined in the current study. This study was conducted in a semiarid region of India, i.e., Karnataka, with daily climatic data (maximum and minimum air temper
Externí odkaz:
https://doaj.org/article/fcb9431c5bae42cebadfcc264ac6609f
Autor:
Rajendran Kiruba-Sankar, Sirisha Adamala, Jessica Barman, Kandasamy Saravanan, Jayasimhan Praveenraj, Eswaran Yuvaraj, Gokhlesh Kumar, Sheikh Zamir Ahmed
Publikováno v:
Fishes, Vol 8, Iss 10, p 517 (2023)
Freshwater turtles are among the least studied faunas in the Andaman and Nicobar Islands, India. Here, we report the presence of freshwater turtles (Cuora amboinensis) from Car Nicobar, a small remote island in the Nicobar archipelago comprising the
Externí odkaz:
https://doaj.org/article/a5bbfac054f34c77b7e821e82fbcc00f
Autor:
Sirisha Adamala, Ayyam Velmurugan, Nikul Kumari, T. Subramani, T. P. Swarnam, V. Damodaran, Ankur Srivastava
Publikováno v:
Land, Vol 12, Iss 5, p 1083 (2023)
Water erosion is one of the major land degradation problems all over the globe, and its accurate quantification in different land use contexts is required in order to propose suitable conservation measures and curtail related hazards. In the Andaman
Externí odkaz:
https://doaj.org/article/aee7e8a7f97c4bf0a948668939f6d531
Publikováno v:
Journal of Agrometeorology, Vol 22, Iss 1 (2020)
In this study, ‘observed rice yield (ton acre-1)’ and ‘remotely sensed backscatter’are modelled using artificial neural network (ANN) and multiple linear regression (MLR) methods for East and West Godavari districts of Andhra Pradesh in India
Externí odkaz:
https://doaj.org/article/6577152b0ee0431b9699204a12e52c7b
Autor:
Sirisha Adamala
Publikováno v:
Information Processing in Agriculture, Vol 5, Iss 1, Pp 149-155 (2018)
In this paper, generalized wavelet-neural network (WNN) based models were developed for estimating reference evapotranspiration (ETo) corresponding to Hargreaves (HG) method for different agro-ecological regions (AERs): semi-arid, arid, sub-humid, an
Externí odkaz:
https://doaj.org/article/c5924fd3ec5b4554af28bd34e51f9546
Publikováno v:
Journal of Agrometeorology. 22:41-47
In this study, ‘observed rice yield (ton acre-1)’ and ‘remotely sensed backscatter’are modelled using artificial neural network (ANN) and multiple linear regression (MLR) methods for East and West Godavari districts of Andhra Pradesh in India
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc2dd033df0f307835aacefcd8a69223
https://doi.org/10.54386/jam.v22i1.120
https://doi.org/10.54386/jam.v22i1.120
Autor:
R. Kiruba-Sankar, K. Saravanan, Sirisha Adamala, Kesavan Selvam, K. Lohith Kumar, J. Praveenraj
Publikováno v:
Regional Studies in Marine Science. 61:102845
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c5930a0c0e42a271f5ca1faeeb4c3da
https://doi.org/10.1016/j.rsma.2023.102845
https://doi.org/10.1016/j.rsma.2023.102845
Publikováno v:
Land Degradation & Development. 32:4018-4032
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14658079efd90755a5cbaca25d88ba69
https://doi.org/10.1002/ldr.3884
https://doi.org/10.1002/ldr.3884
Publikováno v:
Arabian Journal of Geosciences. 14
This study examines the quality of effluents discharged from the Century paper and pulp mill into the Gola River to assess its suitability for irrigation. Water quality depends on the assessment of the many parameters determined by chemical methods.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0d70fc4949fc67fb4bb2905b68266ee
https://doi.org/10.1007/s12517-021-07637-8
https://doi.org/10.1007/s12517-021-07637-8
