Robots capture pollination problems
Researchers at the Australian Centre for Field Robotics at the University of Sydney have been following two 1.5 metre unmanned vehicles up and down rows of trees.
Cameras and lasers are attached to these autonomous robots to capture images of individual pieces of fruit or nuts as they roll past concurrently on either side of each tree. The information is fed into the robots' software to create a series of algorithms or patterns in the data.
Data is then given to the grower who identified a problem with insufficient pollination. The grower planted more pollination trees to improve results.
The robots were able to identify the fruit load on trees with an accuracy rating of 60 to 96 per cent, depending on the amount of leaf coverage and sunlight.
They were also used in lychee, custard apple, avocado and banana farms.