2026-10-16T01:19:02Z https://data.mendeley.com/oai

oai:data.mendeley.com/7r4r98khyw.2 2025-04-28T08:39:01Z

Nidamanuri, Rama Rao High resolution drone-based hyperspectral imagery for precision agriculture applications Mendeley Data The dataset presented is drone-based high-resolution hyperspectral imagery acquired over the experimental agricultural plots set up at the University of Agricultural Sciences, Bengaluru. The agriculture plot consists of three crops- tomato, cabbage and eggplant, cultivated during the Rabi season from January to May. The datasets were acquired by a compact hyperspectral imager (Cubert FireflEYE 185) at various heights ranging from 20 m to 100 m during 2017 and 2018. We have also acquired the terrestrial hyperspectral image of the plot mounting a pushbroom hyperspectral imager (Headwall Photonics, Series A) on a felxible tripod. The datasets are valuable for precision agriculture studies such as fine-resolution crop detection, nutrient estimation, automatic crop identification, etc. Remote Sensing Hyperspectral Imaging Precision Agriculture Drone (Aircraft) Astor, Thomas Wachendorf, Michael Nautiyal, Sunil Buerkert, Andreas Dayananda, Supriya Bhatt, Malavika J, Reji Jha, Sudhanshu Changalagari, Manohar Chandra, Harsha Wijesingha, Jayan Sarma, Anagha Dataset doi:10.17632/7r4r98khyw.2 oai:data.mendeley.com/7r4r98khyw.2 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/7r4r98khyw 2025-04-28T08:39:01Z