Technology in the Stonefruit research orchards at Tatura
Researchers at Agriculture Victoria will be testing technologies to determine their application to support research, automation and on-farm capability.
Agriculture research scientists: Dr Ian Goodwin, Dr Mark O'Connell, Dr Lexie McClymont, Dr Alessio Scalisi, Maddy Peavy
Technologies that will be utilised in the research orchards include:
- LiDAR, vision sensors, artificial neural networks, thermal, and near-infrared and multi-sensor fusion,
- drainage flux sensors and displacement transducers to measure fruit and trunk growth,
- in-orchard RFID and NFC tree and fruit identification,
- IoT enabled irrigation control and feedback sensors,
- use of laser technology to write on fruit to enable research precision,
- precision GPS (horizontal and vertical to identify fruit location)
- the electronic nose and the DA-meter for fruit maturity and quality
- satellite, UAVs, on-ground vehicles (potentially robot), handheld and permanently mounted technologies.
View Artificial Intelligence for irrigation
View AgTech - Mobile sensing in orchards (Cartographer)
View AgTech - fruit quality management sensor
View Sundial experiments
View Low-cost infrared thermography & unmanned aerial vehicles (UAV)
View Assessment of a portable, non destructive, fruit firmness probe
View AgTech - fruit imaging and sorting
Scientific Papers
The following scientific papers can be found at researchgate: see 'publications' tab
Dr Mark O'Connell: https://www.researchgate.net/profile/Mark-Oconnell-9
Dr Alessio Scalisi: https://www.researchgate.net/profile/Alessio-Scalisi
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Maturity Prediction in Yellow Peach (Prunus persica L.) Cultivars Using a Fluorescence Spectrometer.
Relationships between Soluble Solids and Dry Matter in the Flesh of Stone Fruit at Harvest
Diurnal irrigation timing affects fruit growth in late-ripening nectarines
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Phloem and xylem flow contributions to nectarine fruit development