India-UK Advanced Technology Centre (IU-ATC) of Excellence in Next Generation Networks Systems and Services
Lead Research Organisation:
University of Bristol
Department Name: Electrical and Electronic Engineering
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
People |
ORCID iD |
| Nishan Canagarajah (Principal Investigator) |
Publications
| Description | We present an application that demonstrates a proof of concept system for automated in-the-field monitoring of disease in wheat crops. Such in-situ applications are required to be robust in the presence of clutter, provide rapid and accurate analysis and are able to operate at scale. We propose a processing pipeline that detects key wheat diseases in cluttered field imagery. First, we describe and evaluate a high dimensional texture descriptor combined with a randomised forest approach for automated primary leaf recognition. Second, we show that a combined nearest neighbour classifier and voting system applied to segmented leaf regions can robustly determine the presence and type of disease. The system has been tested on a real-world database of images of wheat leaves captured in-the-field using a standard smart phone. |
| Exploitation Route | The proposed system could be used by Farmers and policy makers to support crop monitoring systems |
| Sectors | Agriculture, Food and Drink,Digital/Communication/Information Technologies (including Software) |
| Description | EPSRC |
| Amount | £400,263 (GBP) |
| Funding ID | EP/J016705/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 06/2012 |
| End | 12/2014 |