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.
Our first external temperature+humidity sensors are alive! Until now, the temperature was measured using the board’s internal temperature sensors. And while those temperature sensors are well calibrated, the measurements were not exploitable as the motes are located into water-tight boxes above the orchard, which tend to “heat up” when in…
The paper “(Not so) intuitive results from a smart agriculture low-power wireless mesh deployment” was just presented at the ACM International Conference on Mobile Computing and Networking (MobiCom), Workshop on Challenged Networks (CHANTS). It is now available online: http://dl.acm.org/citation.cfm?id=2979696
Durig this first visit, the UTN Mendoza team went to the deployment site to: Install a “sensor cable” along one of the poles, with four Adafruit SHT31-D temperature and relative humidity sensors. Install a thermal shield around each of the sensors. Connect the sensor cable to to the mote’s pin…
(Not so) Intuitive Results from a Smart Agriculture Low-Power Wireless Mesh Deployment. Keoma Brun-Laguna, Ana Laura Diedrichs, Diego Dujovne, Rémy Léone, Xavier Vilajosana, Thomas Watteyne. The paper was accepted at ACM International Conference on Mobile Computing and Networking (MobiCom), Workshop on Challenged Networks (CHANTS). We will present it on the…
During the Visit to Paris, Diego Dujovne developed the first version of the firmware for the Peach Orchard nodes. This firmware is aimed to support four SHT-31-D Temperature/Humidity sensors per node, connected to a I2C bus.
Congrats to Keoma for being the runner-up IEEE SECON 2016 Best Demo Award with Save the Peaches!
We finally received the first sensors ! The team in Argentina is starting to test the SHT31 temperature and humidity sensor. The sensor is sold by Adafruit and is integrated into a board: https://www.adafruit.com/products/2857 We will soon be able to measure temperature with a 0.3°C accuracy and relative humidity at…
Today, Thomas Watteyne presented the PEACH project at the BIS’2016 Inria@Silicon Valley annual workshop during the “IoT & Smart City” panel. Paris, France, 9 June 2016.
Tomorrow, Keoma Brun-Laguna will present the PEACH project during the annual Math exhibition in Paris. The presentation will be held this Saturday 28th of May, for 1 to 4P.M, place St Sulpice in Paris 6th district. Venez nombreux ! More information at https://www.inria.fr/en/centre/paris/calendar/17eme-salon-culture-et-jeux-mathematiques
PEACH: Predicting Frost Events in Peach Orchards Using IoT Technology Thomas Watteyne, Ana Laura Diedrichs, Keoma Brun-Laguna, Javier Emilio Chaar, Diego Dujovne, Juan Carlos Taffernaberry, Gustavo Mercado. The paper submitted to: EAI Endorsed Transactions the Internet of Things is accepted. To appear. Congratulation !