Zobrazeno 1 - 10
of 2 563
pro vyhledávání: '"M. LAL"'
Publikováno v:
Electronic Journal of Plant Breeding, Vol 8, Iss 2, Pp 444-449 (2017)
The present investigation comprised of seventy two inter-specific hybrids obtained by mating twelve diverse lines of G. hirsutum and five testers of G. barbadense in line × tester fashion and were evaluated to study standard heterosis and combining
Externí odkaz:
https://doaj.org/article/c9c896a13b614224baf5d708957bd7df
Publikováno v:
Electronic Journal of Plant Breeding, Vol 8, Iss 1, Pp 142-152 (2017)
Forty five intra-hirsutum hybrids from a 10 × 10 diallel crossing excluding reciprocals along with their parents were evaluated for combining ability for seed cotton yield and its component traits in three environments during kharif, 2013-14. The po
Externí odkaz:
https://doaj.org/article/3304686bc0c54565a8ac8269bedf9f00
Publikováno v:
African Journal of Urology, Vol 22, Iss 2, Pp 96-100 (2016)
Objective: To determine the role of the lower pole infundibular parameters as predictors of stone clearance following extracorporeal shock wave lithotripsy (ESWL). Subjects and methods: Between March 2001 and February 2004, 243 renal units in 239 pat
Externí odkaz:
https://doaj.org/article/232b1e5b2a83457d89e4af0ef093baaa
Publikováno v:
Terrestrial, Atmospheric and Oceanic Sciences, Vol 9, Iss 1, p 069 (1998)
Three continues to be some improvement in the ability of general circulation models to simulate the present-day climate on large scales although further improvements in the model resolution and parameterization of physical processes are still needed
Externí odkaz:
https://doaj.org/article/ba8723957790418183a1449b303162ea
Akademický článek
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Publikováno v:
International Journal of Advanced Research in Science, Communication and Technology. :182-189
Agriculture is the backbone for India GDP. We know it share more percent of sector. We are facing many problems in India in this domain even farmers are getting suicided due to failure in crop yield and not proper plan and support. We with the Modern
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32ddd0a681cce9c5a61166843032d6e7
https://doi.org/10.48175/ijarsct-9734
https://doi.org/10.48175/ijarsct-9734
Autor:
Sachin D. Ghude, R. K. Jenamani, Rachana Kulkarni, Sandeep Wagh, Narendra G. Dhangar, Avinash N. Parde, Prodip Acharja, Prasanna Lonkar, Gaurav Govardhan, Prafull Yadav, Akash Vispute, Sreyashi Debnath, D. M. Lal, D. S. Bisht, Chinmay Jena, Pooja V. Pawar, Surendra S. Dhankhar, V. Sinha, D. M. Chate, P. D. Safai, N. Nigam, Mahen Konwar, Anupam Hazra, T. Dharmaraj, V. Gopalkrishnan, B. Padmakumari, Ismail Gultepe, Mrinal Biswas, A. K. Karipot, Thara Prabhakaran, Ravi S. Nanjundiah, M. Rajeevan
Publikováno v:
Bulletin of the American Meteorological Society. 104:E980-E1005
The presence of persistent heavy fog in northern India during winter creates hazardous situations for transportation systems and disrupts the lives of about 400 million people. The meteorological factors responsible for its genesis and predictability
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3aced7c3e38b099d06d5387f8ffd339f
https://doi.org/10.1175/bams-d-21-0197.1
https://doi.org/10.1175/bams-d-21-0197.1
Publikováno v:
Earthquake Engineering & Structural Dynamics. 52:998-1015
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46485d455f8baecc641bd441898cc032
https://doi.org/10.1002/eqe.3798
https://doi.org/10.1002/eqe.3798
Publikováno v:
Legume Research: An International Journal. Jan2022, Vol. 45 Issue 1, p82-89. 8p.
Autor:
Shriya Jadhav, Anisha M. Lal
Publikováno v:
International Journal of Information System Modeling and Design. 13:1-14
Traditional machine learning methods of plant leaf disease detection lack successful performances due to poor feature representation and correlation. This paper presents a novel methodology for automatic plant leaf disease detection using cascaded de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::023e27f3584c6a5c730747d4c53fa5ee
https://doi.org/10.4018/ijismd.315126
https://doi.org/10.4018/ijismd.315126