Watch the French version of the video.
Predicting Frost Events
A frost event happens when the temperature is so low that the crops cannot recover their tissue or internal structure from the effects of water freezing inside or outside the plant. For the peach production, a critical period is when the trees are in bloom and fruit set (Aug./Sept. in Mendoza), during which the temperature needs to be kept above 3° C. Even a few hours below that temperature causes flowers to fall, preventing fruits to grow.
The goal of the project is to predict frost events in peach orchards by using dense monitoring using low-power wireless mesh networking technology. Off-the-shelf commercial solutions are available today which offer >99.999% end-to-end data reliability and a decade of battery lifetime. We deploy low-power wireless mesh networks of temperature, relative humidity and soil moisture sensors directly into the orchard. We use machine learning and pattern recognition to build a micro-climate predictive model by continuously analyzing the gathered sensor data in real time, and issue early frost warnings.
The PEACH backend server is up and running! The server runs a Grafana frontend which shows sensor data and statistics in real-time for a 4-mote mock-up PEACH network running in the Inria-Paris premises. Look at the data in real time at http://sol.paris.inria.fr/!
A test PEACH network is now deployed on at Inria, in the EVA team’ offices! The network consists of: 2 raspberry Pi single board computers running the basestation software 2 SmartMesh IP managers, each connected to a raspberry Pi 4 SmartMesh IP motes deployed in 4 different offices