An AI-powered drone, called SkyEye, performs crop and livestock inspections which are analysed by AI to detect crop stress, weeds, pests and irrigation risks.
The idea was developed by Lihong Zheng, Professor in Computing at Charles Sturt University.
She got the idea for SkyEye while working on another research project for the former federal Department of Agriculture, Water and Environment.
"Many farms are too vast to inspect by hand. One farmer may manage thousands of hectares and checking it all costs time and fuel," Professor Zheng said.
"Data helps but it is often too delayed or scattered to act on. That is where SkyEye comes in."
SkyEye’s AI technology analyses video and images captured by the drone for soil fertility and moisture levels, pest and disease detection and livestock tracking.
The AI tool detects patterns and relationships in the imagery and makes recommendations to farmers, including how they can optimise the use of fertilisers and pesticides, predict yield and monitor livestock wellbeing.
SkyEye can provide live alerts and insights through an easy-to-use dashboard to help farmers make timely decisions.
Prof Zheng said SkyEye could have wide applications across Australia’s agriculture industry, which is set to make more than $100 billion this year through livestock, broadacre cropping and horticulture.
"SkyEye helps farmers make informed decisions,” Prof Zheng said
“It can optimise the use of water, fertilisers, pesticides, fuel and labour, reduce operational costs, improve productivity, and identify issues early to maximise yields.”
