Abstract:
The main aim of this project was to develop a low-cost multispectral airborne video imaging system (referred to as MAVIS) for detecting and monitoring spatial and temporal variations in the vigour of irrigated cotton crops caused by moisture related and other forms of stress. A related objective was to develop standard procedures to acquire, to analyse crop canopy spectral response with the aid of digital image processing, and to calibrate video imagery using traditional agronomic and field measurements for more effective management of water and other crop inputs. The ultimate goal was to assess the feasibility of establishing a commercial fee-for service operation to monitor and manage crops using digital analysis of airborne video imagery.
