The ability to measure leaf surface temperature is a unique feature of the e-skin that is lacking in conventional temperature sensors. “This feature allows us to collect data to understand how to mitigate heat stress on leaves caused by long-term exposure to heat, making it beneficial for precision farming of economically valuable crops,” said Lee.
The e-skin sensor is just one part of the team’s innovation. To clearly visualise the data recorded by the sensors, the team developed a ‘digital-twin’ plant monitoring system that can process the recorded data into digital output. As the name suggests, the digital images created by the monitoring system mirror the plant conditions precisely and in real time, enabling users to make timely adjustments to the plant environment to improve growth and yield.
With the temperature sensors that the team used in their test-drive, the digital-twin system can instantly translate temperature fluctuations on the leaf’s surface into colour changes in the digital images, prompting temperature adjustments to the indoor farming facility.
“Besides temperature, this digital-twin plant system can be utilised to continuously and non-invasively monitor physical characteristics of plants in various environments. This would enable quick analysis of such properties of new plant varieties, which has the potential to accelerate crop breeding processes,” added Chae.
As Singapore aims to locally produce 30 per cent of its edible greens by 2030, this innovative e-skin technology, complete with its digital twin monitoring system, could be a game-changer, potentially enabling local farmers to significantly enhance their crop production. Looking ahead, the team at NUS plans to integrate additional sensors into the e-skin, promising an even more comprehensive toolkit for precision farming that could accelerate crop breeding and bolster food security.
Adapted from NUS News: Elevating precision farming with innovative plant e-skin coupled with digital-twin monitoring system