PhenoTub

May 24 – Apr 26

Funder – Innovate UK

The PhenoTub project is focused on developing an automated, precision computer vision system for the in-field detection of potato diseases. This innovative technology aims to identify early signs of diseases like Potato Virus Y (PVY) and Potato Cyst Nematode (PCN), which can cause significant crop losses. By leveraging advanced computer vision, PhenoTub will enable growers to detect and respond to diseases more efficiently, reducing waste and safeguarding yields.

The Challenge

Potato crops are highly vulnerable to diseases such as PVY and PCN, leading to substantial losses if not detected early. Traditional methods of identifying diseased plants are time-consuming, labour-intensive, and often miss early signs of infection. This delayed detection can result in the rapid spread of pathogens across entire fields, significantly impacting crop quality and yield. The challenge lies in developing a solution that can accurately detect disease in real time, providing growers with the tools they need to take immediate action and minimise the spread of infection.

The Solution

PhenoTub offers a solution by developing a computer vision system that automatically detects diseased potato plants in the field.

Cameras positioned on routine agricultural equipment will provide weekly crop coverage, scanning for early signs of disease. The system’s precision will allow growers to identify infected plants and take swift action, whether through roguing out diseased plants or applying targeted treatments. Currently, in the early stages of development, the PhenoTub team is collecting initial data in labs and imaging diseased plants in the field, with planned trials to refine and validate the system for commercial use. This approach aims to revolutionise disease detection in potato farming, reducing crop losses and improving sustainability.