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The extended presence of water on the leaf surface is often an indicator of the development of fungal diseases. Therefore it is vital to be able to measure wetting precisely and in real time, in order to anticipate epidemics and treat at the right time. 

This is where AgriHawk comes into play. This wetness sensor has been developed in partnership between Greenshield and the Lyon Nanotechnology Institute. Compared to existing sensors, AgriHawk is less costly and offers better spatial and temporal resolution. Indeed, unlike conventional methods, it monitors an entire area rather than a single leaf, a process known as scanning detection, and can provide data every minute.

AgriHawk analyzes the light reflected by crops in the presence of water. In fact, it combines the use of a laser as a light source and a camera that records the reflected rays. Subsequently, a machine learning-trained artificial intelligence analyzes the images obtained and provides the rate of wetting. Currently, AgriHawk achieves an accuracy rate of over 90% in estimating wetness level.

AgriHawk is currently in the prototype stage for the wine industry, but the technology is highly flexible and perfectly suited to other sectors such as field crops. 

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