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Results for “Hyperspectral imaging”
Showing 1–4 of 4 results
4 results — page 1 of 1
Hyperspectral - the answer to water stress? (Part 1)
This study presents a novel hyperspectral-machine learning methodology for the non-destructive identification of water-stressed vines in a Shiraz vineyard.
By Kyle Loggenberg, Albert Strever & Nitesh Poona · 8 min read
Hyperspectral - the answer to water stress? (Part 2)
The research presented in Part 2 aims to derive a two-band optimised vegetation index using hyperspectral data captured across the visible near-infrared (VNIR) region of the electromagnetic (EM) spectrum.
By Marc Dukes, Nitesh Poona & Kyle Loggenberg · 5 min read
Flying high
Innovative tools are increasingly being used to support the drive for improved quality and greater agricultural productivity and profitability. Locally, grape p
By Lee-anne · 7 min read
Near-real-time characterisation of vines
A research project was undertaken to explore advanced image-based techniques for vineyard monitoring to define canopy characteristics and vigour at the plant level.
By Carlos Poblete-Echeverria · 5 min read
