Using drone images, the Pheno-i platform can now merge data from thousands of high-resolution images, analyzing them through machine learning to produce a spreadsheet. This shows scientists exactly how plants are responding to stimuli in the field in real-time.
Using the technology, breeders can now respond immediately, applying fertilizer if a particular nutrient is lacking, or water. The data also allows scientists to quickly discover which crops are more resistant to climate shocks, so they can advise farmers to grow more drought or heat-resilient varieties.
“We’re helping breeders to select the best root crop varieties more quickly, so they can breed higher-yielding, more climate-smart varieties for farmers.”
Selvaraj elaborates, “The drone is just the hardware device, but when linked with this precise and rapid analytics platform, we can provide useful and actionable data to accelerate crop productivity.”