Showing results for: [ Agriculture, Land and Farm Management not elsewhere classified ]
Accurate detection of inflorescences can lead to an inflorescence count to provide an early yield estimation in viticulture. The task here is to detect inflorescences in RGB images using image process... moreing, computer vision, and machine learning techniques. The purpose of this dataset is to provide a common platform for researchers to develop methods for inflorescence detection and compare their research.less
CSA1602 New non-destructive technologies for simultaneous yield, crop condition and quality estimation - - Published 02 Dec 2019
Lansdown pasture photograph series - nadir-pointing cameras on two separate 2.8m x 2.0m plots.
Series of digital photographs of pasture captured by two digital cameras 2.5 m above the ground in a dow... morenward-pointing position. Camera field of view approximately 2.8m x 2.0m at ground level. Images captured at 30 minute intervals from 2011-09-07 to 2013-08-10.
Cameras were Pentax Optio WG-1 digital cameras (13.8 megapixels). Images saved in JPG format.
Node 1081 (fenced): Lon. 146.85058, Lat. -19.66143
Node 1080 (unfenced): Lon. 146.85090, Lat. -19.66113
Distance between nodes approx. 50m.less
CLOSED-Application real-time sensor net - A pilot project combining multispectral proximal sensors and digital cameras for monitoring tropical pastures - Published 19 Jun 2018
N15 enriched water, plant and soil samples collected during the 2014-15 cotton season as part of a project examining nitrogen losses from irrigated cotton agriculture.
CRDC-DAFF FtRG2 Quantifying indir - N budgeting in irrigated cotton using N15 labelled urea - Published 11 May 2016