Zobrazeno 1 - 10
of 17
pro vyhledávání: '"R. K. Mahey"'
Autor:
P.K. KINGRA, R. K. MAHEY
Publikováno v:
Journal of Agrometeorology, Vol 15, Iss 1 (2013)
Under water limiting conditions, evaluation of sensitivity of crop growth stages to evapotranspiration is indispensable for efficient and judicious use of irrigation water. The present investigation was carried out at the research farm, School of Cli
Externí odkaz:
https://doaj.org/article/86df9870f1ef4f0e9897b01c05de483d
Publikováno v:
Journal of Agrometeorology, Vol 12, Iss 1 (2010)
Canopy temperature based regression models were developed for the prediction of grain yield of wheat. During the reproductive phase, all the canopy temperature based indices viz., canopy temperature (Tc), average canopy minus air temperature (Tc-Ta)
Externí odkaz:
https://doaj.org/article/b8e3aadd41884142b49595abd197c038
Autor:
P. K. KINGRA, R. K. MAHEY
Publikováno v:
Journal of Agrometeorology, Vol 11, Iss 2 (2009)
Evapotranspiration of wheat crop was estimated using different methods viz. lysimeter, USDA Open pan evaporimeter, empirical methods, combination approach and soil water evaporation model. The field experiment was conducted during rabi 2006-07 and 20
Externí odkaz:
https://doaj.org/article/dad7e7e50c9242e28880106b8ba38966
Autor:
null P.K. KINGRA, null R. K. MAHEY
Publikováno v:
Journal of Agrometeorology. 15:51-57
Under water limiting conditions, evaluation of sensitivity of crop growth stages to evapotranspiration is indispensable for efficient and judicious use of irrigation water. The present investigation was carried out at the research farm, School of Cli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fdb546ad443c71bd6f3a3c075c82462
https://doi.org/10.54386/jam.v15i1.1438
https://doi.org/10.54386/jam.v15i1.1438
Publikováno v:
Journal of the Indian Society of Remote Sensing. 38:25-34
The study to establish the optimum time span for distinguishing Avena ludoviciana from wheat crop based on their spectral signatures was carried out at Student’s Research Farm, Department of Agronomy during 2006–07 and 2007–08. The experimental
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3dde420f5bdc36bb6b1c377076ae762
https://doi.org/10.1007/s12524-010-0009-7
https://doi.org/10.1007/s12524-010-0009-7
Autor:
null P. K. KINGRA, null R. K. MAHEY
Publikováno v:
Journal of Agrometeorology. 11:102-108
Evapotranspiration of wheat crop was estimated using different methods viz. lysimeter, USDA Open pan evaporimeter, empirical methods, combination approach and soil water evaporation model. The field experiment was conducted during rabi 2006-07 and 20
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34e3a432b301825c33250ddd57639767
https://doi.org/10.54386/jam.v11i2.1234
https://doi.org/10.54386/jam.v11i2.1234
Publikováno v:
Journal of Applied Sciences. 8:510-515
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa8aace5b89f675a4ae02976401e59cc
https://doi.org/10.3923/jas.2008.510.515
https://doi.org/10.3923/jas.2008.510.515
Publikováno v:
Climate Change Modelling, Planning and Policy for Agriculture ISBN: 9788132221562
To take full advantage of site-specific variable rate technology (VRT) systems, highly accurate digital mapping of weed infestations within fields via scouting, GPS, GIS and remote sensing technologies will be necessary. When combined, these tools ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07aa5d72b58690ea73c7efb0ec1d28f8
https://doi.org/10.1007/978-81-322-2157-9_7
https://doi.org/10.1007/978-81-322-2157-9_7
Publikováno v:
Journal of the Indian Society of Remote Sensing. 34:269-277
Wheat yield prediction using different agrometeorological indices, spectral index (NDVI, Normalized Difference Vegetation Index) and trend predicted yield (TPY) were developed in Hoshiarpur and Rupnagar districts of Punjab. On the basis of examinatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b5de5630c1b61471902bd382679396b
https://doi.org/10.1007/bf02990655
https://doi.org/10.1007/bf02990655
Publikováno v:
International Journal of Remote Sensing. 24:2037-2054
Wheat growth profile based yield models for 12 districts of Punjab State and 16 districts of Haryana State have been developed using the normalised difference vegetation index (NDVI) derived from NOAA-11 AVHRR data of the 1993-94 cropping season. Atm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cedb9c5629029655d1b4c313877cd7a
https://doi.org/10.1080/01431160210156018
https://doi.org/10.1080/01431160210156018