Zobrazeno 1 - 10
of 104
pro vyhledávání: '"SUNIL KUMAR JHA"'
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 6, Pp 3343-3355 (2022)
The ubiquitous deep learning (DL) in remote sensing (RS) motivates the most challenging problem of crop classification. To perpetrate such an exigent task, an attempt is made to prepare a novel dataset, the CaneSat dataset, in two formats: RGB color
Externí odkaz:
https://doaj.org/article/f38cb355a40745839e755bd57f706f83
Autor:
Sunil Kumar Jha, Vinay Kumar Mishra, Thukkaram Damodaran, Atul Kumar Singh, Parbodh Chander Sharma, Dinesh Kumar Sharma, Deepak Ojha, Yash Pal Singh
Publikováno v:
Journal of Agricultural and Food Chemistry. 71:2853-2863
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91dc579df80710bdffbb024a493ed5f7
https://doi.org/10.1021/acs.jafc.2c07940
https://doi.org/10.1021/acs.jafc.2c07940
Publikováno v:
Computers, Materials & Continua. 75:4273-4291
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d65190d52eee4357eddbf3522794927d
https://doi.org/10.32604/cmc.2023.036975
https://doi.org/10.32604/cmc.2023.036975
Autor:
Sunil Kumar Jha, Virupakshagouda C. Patil, Rekha B.U, Shyamal S. Virnodkar, Sergey A. Bartalev, Dmitry Plotnikov, Evgeniya Elkina, Nilanchal Patel
Publikováno v:
Universal Journal of Agricultural Research. 10:699-721
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4da1e5a56ab40369b5a021cb54cb6505
https://doi.org/10.13189/ujar.2022.100611
https://doi.org/10.13189/ujar.2022.100611
Autor:
Vinay Kumar Mishra, Sunil Kumar Jha, Thukkaram Damodaran, Chhedi Lal Verma, Shefali Srivastava
Publikováno v:
Journal of Soils and Sediments. 22:3018-3029
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ca470547a52b05a3c5baa5ed64606ae
https://doi.org/10.1007/s11368-022-03292-y
https://doi.org/10.1007/s11368-022-03292-y
Autor:
Sunil Kumar Jha, Vinay Kumar Mishra, Thukkaram Damodaran, Yash Pal Singh, Parbodh Chander Sharma
Publikováno v:
Land Degradation & Development. 33:2276-2288
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bf9b04265bf652f9312bca5507dd68d
https://doi.org/10.1002/ldr.4282
https://doi.org/10.1002/ldr.4282
Autor:
Nidhi Kumari, Thukkaram Damodaran, Israr Ahmad, Shailendra Rajan, P. K. Shukla, Muthukumar Manoharan, Amar Kant Kushwaha, Haripal Singh, Ram Gopal, Sangeeta Kumari, Kavita Yadav, Popy Bora, Sunil Kumar Jha
Publikováno v:
Journal of Plant Biochemistry and Biotechnology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6155bbfaeba5c8a01197ee0851adbe43
https://doi.org/10.1007/s13562-023-00842-4
https://doi.org/10.1007/s13562-023-00842-4
Publikováno v:
International Journal of Lakes and Rivers. 15:67-81
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::187fd57e12dda27bc512fcab18ab76c8
https://doi.org/10.37622/ijlr/15.1.2022.67-81
https://doi.org/10.37622/ijlr/15.1.2022.67-81
Publikováno v:
Journal of King Saud University - Computer and Information Sciences. 34:3343-3355
The ubiquitous deep learning (DL) in remote sensing (RS) motivates the most challenging problem of crop classification. To perpetrate such an exigent task, an attempt is made to prepare a novel dataset, the CaneSat dataset, in two formats: RGB color
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7494f6ff9355095b2d183ff8ecf09e7
https://doi.org/10.1016/j.jksuci.2020.09.005
https://doi.org/10.1016/j.jksuci.2020.09.005
Autor:
Sunil Kumar Jha, Vinay Kumar Mishra, Thukkaram Damodaran, Atul Kumar Singh, Yash Pal Singh, Dinesh Kumar Sharma
Publikováno v:
Land Degradation & Development. 33:1260-1268
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6463bec0751f65672cbf0657751cb97f
https://doi.org/10.1002/ldr.4206
https://doi.org/10.1002/ldr.4206