Ashley Wheaton

TL;DR: Examples of application of the approach to phenotyping in the field and the steps in data analysis are outlined, demonstrating that clear genotypic variation may be detected despite substantial variation in soil moisture status or incident radiation by the use of appropriate normalisation techniques.

TL;DR: In this paper, an optical image taken from the plant canopy is aligned with the underlying IR image, so that plant leaf area can be extracted via simple colour identification techniques and then the temperature distribution of the leaf area is obtained.

TL;DR: This work provides an intervention free process for extracting plant water stress information which can be fed into an automated irrigation scheduling program and is justified by the comparison of its registration performance with that of other potential algorithm techniques using several experimental data collections.

TL;DR: An improved registration algorithm is described, where a modified Sobel edge detector is adopted and a variable resolution scheme is applied and the algorithm can improve the registration efficiency considerably compared to the previous developed registration method.

TL;DR: An automatic image registration algorithm, based on the fundamental cross correlation method is designed, which can avoid human intervention in the alignment process and is suitable for the application to plant water stress analysis where significant numbers of images need to be processed.