Project description
SoilSense is a sensor system and an online dashboard helping
farmers make smarter irrigation decisions.
Overview
The dashboard provides an overview of current sensor statuses and detailed charts with current and
historical data transformed and visualized in a simple way. Green "safe zone" is derived
from a sensor-specific calibration and indicates
what values are desirable. The system is in production, being used by paying customers.
Behind the scenes, a notification system can react to newest data and send notifications via
multiple channels according to farmer's configuration.
Artificial Intelligence Service provides data analysis and ML functionality: analytical algorithm
that
detects field capacity (the 100% available water point) and a timeseries forecasting model that
predicts
change in water volume 3 days into the future.
Technologies
React, TypeScript, Mobx, Recharts, Docker, Node, Firebase, MongoDB, Python, Tensorflow, FastAPI