Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Koutilya PNVR"'
Autor:
Koutilya PNVR, Varaprasad Bandaru
Publikováno v:
Smart Agricultural Technology, Vol 6, Iss , Pp 100347- (2023)
Satellite remote sensing methods have been proven to quantify the burnt areas resulting from different fire activities reliably. However, they were reported to perform poorly to identify crop residue burnt areas, particularly in smallholder systems d
Externí odkaz:
https://doaj.org/article/4249274784e6469e91621d2f83532791
Autor:
Varaprasad Bandaru, Raghu Yaramasu, Koutilya PNVR, Jiaying He, Sedano Fernando, Ritvik Sahajpal, Brian D. Wardlow, Andrew Suyker, Chris Justice
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 92, Iss , Pp 102188- (2020)
The accurate and timely estimates of crop physiological growth stages are essential for efficient crop management and precise modeling of agricultural systems. Satellite remote sensing has been widely used to retrieve vegetation phenology metrics at
Externí odkaz:
https://doaj.org/article/5a11d86ed7b2413e911d409a9434ae05
Publikováno v:
CVPR
We propose a novel method for combining synthetic and real images when training networks to determine geometric information from a single image. We suggest a method for mapping both image types into a single, shared domain. This is connected to a pri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1e7299eb7b074a25a27225cb8e34acd
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030110116
ECCV Workshops (2)
ECCV Workshops (2)
The field of action recognition has gained tremendous traction in recent years. A subset of this, detection of violent activity in videos, is of great importance, particularly in unmanned surveillance or crowd footage videos. In this work, we explore
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d5f8715d2bf56d76f37f945167d31ae
https://doi.org/10.1007/978-3-030-11012-3_24
https://doi.org/10.1007/978-3-030-11012-3_24
Autor:
Raghu Yaramasu, Koutilya Pnvr, Jiaying He, Christopher O. Justice, Brian D. Wardlow, Varaprasad Bandaru, Sedano Fernando, Ritvik Sahajpal, Andrew E. Suyker
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation. 92:102188
The accurate and timely estimates of crop physiological growth stages are essential for efficient crop management and precise modeling of agricultural systems. Satellite remote sensing has been widely used to retrieve vegetation phenology metrics at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be335c21ef223e7d27020f0baed18652
https://doi.org/10.1016/j.jag.2020.102188
https://doi.org/10.1016/j.jag.2020.102188
Publikováno v:
Computers and Electronics in Agriculture. 176:105664
Reliable crop type maps are needed early in the growing season to retrieve crop type information from satellite imagery in order to produce in-season crop condition and yield outlooks. However, the inability to have early crop maps due to limited ear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc87463b004d46e2d664787f4e204978
https://doi.org/10.1016/j.compag.2020.105664
https://doi.org/10.1016/j.compag.2020.105664
Autor:
Priya, G. Lakshmi1 (AUTHOR) lakshmipriya.g@vit.ac.in, Venkatesh, M.2 (AUTHOR), Agarwal, Lucky1 (AUTHOR), Samuel, T. S. Arun3 (AUTHOR)
Publikováno v:
Applied Physics A: Materials Science & Processing. Nov2022, Vol. 128 Issue 11, p1-13. 13p.
Autor:
Beigi, Kobra1, Hashemi, Seyed Amir1 ahashemi@aut.ac.ir
Publikováno v:
International Journal of Numerical Modelling. Sep/Oct2018, Vol. 31 Issue 5, p1-1. 18p.
Publikováno v:
SILICON (1876990X); Nov2022, Vol. 14 Issue 16, p10613-10622, 10p