Updated Mobile Application

The mobile application has continued development to present end users with all the relevant information about their holdings. The following video demonstrates the current state of the application enabling the user to monitor multiple fields and crops over time so they can see current sensor data, the disease analysis of uploaded images and videos as well as the results of drone surveys of the fields.

The application aims to empower the user to improvetheir crops by linking them to relevant information on how to treat and prevent diseases as they are detected as well as providing access to general advice on crop maintenance.

We have also included a forum facility to take advantage of the local community prompting the user to post images that have been unsuccessfully analysed or are outside the scope of our models, for other people to advise on. This can then feed back into our data gathering facilities

Real-time Crop Disease Detection from Drone Imagery

We have developed a real-time crop disease detection tool designed to provide the rapid diagnosis of disease in crops. The process utilises artificial intelligence and drone imagery to show a visual representation of the disease while providing an estimation of the severity of the problem.

The video demonstrates this technique on a Malaysian rice paddy detecting bacterial leaf blight (BLB)

Adding drone control to the mobile application

We have started development of the automatic drone control by out mobile application. The following video shows the initial user interface design allowing the user to instruct the drone to survey the field, followed by automatic waypoint generation and a simulated drone flight.

The drones location is mapped for the user to see and the images taken are displayed before being uploaded to the data platform for analysis witht he resulting stitched overlays displayed on the map for the user