CASE STUDY
Forecasting @Scale on Hydroponic Data
BUSINESS PROBLEM
- Forecast optimal plant growth using data generated by the sensor and camera units for Hydroponic Modular Garden Unit to facilitate remote monitoring.
PERFORMANCE
- Approx. 20% error rate in plant growth forecasts.
FORECASTING @SCALE WITH IMAGE & SENSOR DATA
SOLUTION
- Experiment in a hydroponic growing zone allows for controlled data collection from camera and sensor units.
- Manipulate & Convert RGB and IR images to a measurement of Plant growth.
- Further, Machine Learning approach makes the prediction model which predicts 24 hours ahead Growth .
BENEFITS
- Helps better understand the requirements of growing environment components.
- Enabling machine learning based remote monitoring with ability to scale and adaptive to the new scenarios.
VIEW/DOWNLOAD FULL CASE STUDY
- Download full case study:- Unlocking the Potential of Machine Learning- A Case Study on Hydroponic Systems.
- Click here to view : https://drive.google.com/fil e/d/1ls1PHD96kn9v3lm51GRNZVzsdl38jK4/ view?usp=sharing