Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Supriya Dayananda"'
Publikováno v:
Sensors, Vol 21, Iss 8, p 2886 (2021)
Various remote sensing data have been successfully applied to monitor crop vegetation parameters for different crop types. Those successful applications mostly focused on one sensor system or a single crop type. This study compares how two different
Externí odkaz:
https://doaj.org/article/b0006e205d0d419bb94f6ac7935f9478
Publikováno v:
Agronomy, Vol 10, Iss 10, p 1600 (2020)
Remote sensing (RS) has been an effective tool to monitor agricultural production systems, but for vegetable crops, precision agriculture has received less interest to date. The objective of this study was to test the predictive performance of two ty
Externí odkaz:
https://doaj.org/article/c785a095ccbc4678a54ab3db602379cc
Autor:
Supriya Dayananda, Thomas Astor, Jayan Wijesingha, Subbarayappa Chickadibburahalli Thimappa, Hanumanthappa Dimba Chowdappa, Mudalagiriyappa, Rama Rao Nidamanuri, Sunil Nautiyal, Michael Wachendorf
Publikováno v:
Remote Sensing, Vol 11, Iss 15, p 1771 (2019)
Hyperspectral remote sensing is considered to be an effective tool in crop monitoring and estimation of biomass. Many of the previous approaches are from single year or single date measurements, even though the complete crop growth with multiple year
Externí odkaz:
https://doaj.org/article/5982621c67c842a8a7f4f00e262ee5d6
Autor:
Thomas Moeckel, Supriya Dayananda, Rama Rao Nidamanuri, Sunil Nautiyal, Nagaraju Hanumaiah, Andreas Buerkert, Michael Wachendorf
Publikováno v:
Remote Sensing, Vol 10, Iss 5, p 805 (2018)
3D point cloud analysis of imagery collected by unmanned aerial vehicles (UAV) has been shown to be a valuable tool for estimation of crop phenotypic traits, such as plant height, in several species. Spatial information about these phenotypic traits
Externí odkaz:
https://doaj.org/article/3588a1dab43b489eba75fe494f68c67a
Autor:
Wachendorf, Thomas Moeckel, Supriya Dayananda, Rama Rao Nidamanuri, Sunil Nautiyal, Nagaraju Hanumaiah, Andreas Buerkert, Michael
Publikováno v:
Remote Sensing; Volume 10; Issue 5; Pages: 805
3D point cloud analysis of imagery collected by unmanned aerial vehicles (UAV) has been shown to be a valuable tool for estimation of crop phenotypic traits, such as plant height, in several species. Spatial information about these phenotypic traits
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::55d74c9e2b778999b20c6ba1c2dfbc73