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Research Projects
Stereology for Precision Agriculture
In the broadest sense, stereology — meaning "knowledge of space" — is spatial sampling. Stereological methods are used to estimate global and local measures of geometric structures such as volumes, surface areas, lengths, numbers and connectivity in 3D, and their spatial variability. Methods are scale-less and can be applied at the nano- or micro-scale up to the macro-scale and beyond.
Because stereological methods involve sparse sampling and simple intersection counts and/or linear length measurements, they can facilitate the development of rapid and low-cost intelligent sensing.
The common theme of these research projects is the development of stereological methods to determine the spatial-temporal distribution of plant, crop and disease structure for purposes of Precision Management. Applications include quantitation of parameters at the field or orchard level and at the individual plant level (Phytotechnology). Our general approach is design-based, so that sampling operations are unbiased for all practical purposes, even for highly heterogeneous structures; however, model-based sampling will be incorporated where advantageous to do so.
Estimation of Volume of Irregular Objects from Projections
3D Tree Canopy Mapping for Precision Management
Project overview
Manual sampling using the fractionator
