AARSC is currently involved in collaborative projects that include a cross-section of industry bodies, government agencies and university partners. These multidisciplinary projects help industries navigate the various technologies available as well as develop new fit-for-purpose applications.
These capabilities provide data that is sufficiently granular and calibrated to be used for both farm and region-wide analysis, including:
- Yield and quality forecasting and mapping.
- Crop identification production area and extent.
- Optimal planting and harvesting dates.
- Biosecurity, plant health and stress detection.
- Water use efficiency.
- Nutrient use deficiency.
AARSC provides support for interpreting results agronomically, and ensuring their adoption on farm.
"It is very high on the priority list for us to commercialise it [remote sensing technologies] and for the benefit of our growers too because there are so many positives for the industry."Dr. Graeme Wright, Peanut Company of Australia (Manager of Breeding & Innovation)
Farming applications and analytics
LiDAR map of each individual tree and fruit (by University of Sydney).
Classified Tree Vigour Map
High resolution satellite imagery is extremely accurate in mapping the spatial distributing of tree vigour. By using these maps, soil and plant samples that better represent high, medium and low growth trees can be easily identified and collected - reducing the number of samples to just three.
Derived Yield Map
Derived yield map (kg/tree)
Fruit Yield Map
Mango fruit yield map derived from each sensing platform (by CQUniversity). The ‘hotter’ the colour the higher the fruit yield per tree.
Individual fruit identified by machine vision (by CQUniversity & University of Sydney).
NDVI image showing variation in tree vigor across a mango orchard. The higher the NDVI the more healthy the tree
Sample locations satellite image
Sample locations of 18 tree overlaid on to a false colour satellite image
Tree Crown Area
Extraction of tree crown area.
Yield and Canopy Reflectance
Relationship between mango yield per tree versus measured TCA x RDVI2 (a measure of canopy reflectance)