Sensor technology alongside AI allows researchers to monitor and explore effects of different environmental levels to reduce risk of disease.
With data analytics and constant surveillance of crops, we can maximise resource use and improve overall costs effectiveness.
With sensor deployment and drone technology, researchers can quickly identify biomarkers and environmental levels indicative of disease.
Identification of diseases crops increases abilities of targeted action on specific crops to reduce blanket treatment and increase intervention efficacy.
Fast identification of onset of disease and potential biomarkers can be targeted to ensure efficient pesticide use.
Disease analytics with sensor technology and applied AI can aid researchers at pinpointing optimal growing levels and threshold boundaries that may increase chance of disease.
Real-time data can be analysed with machine learning to explore collated data further to identify potential patterns linked to disease.
Disease is an ever-growing threat to the economy and food security. True AI can facilitate in feature extraction to identify novel targets for drug applications.
Enhanced disease detection with both sensor and drone technology results in improved production efficiencies and consequently yields.