Blog | EnviTronics Lab

Dec 13 min read

Elevating Environmental Monitoring: A Hardware-in-the-Loop Simulation Approach to Datalogger Testing

Imagine you've developed a versatile datalogger-controller using an Arduino board to monitor and control environmental conditions. This...

Nov 183 min read

Cracking the Code of Sensor Data: Transforming Raw Data into Actionable Insights

In the article, I provide an overview of the intricacies of leaf wetness and soil moisture sensors, explore the challenges of raw data, ...

Nov 172 min read

Moisture Sensor Data Processing: From Raw Signal to Accurate Measurements and Classification

Signal processing includes steps such as baseline calculation, feature extraction, and normalization. These steps consider user settings ...

Nov 102 min read

Leaf Wetness Sensor Data Processing: From Raw Signal to Accurate Classification

I trained a machine learning model to accurately classify leaf wetness events into categories such as rainfall, dew, and frost. The model ..

Oct 23 min read

Leveraging Microclimate Data, Proximal Canopy Sensing, and Machine Learning for Precise Soil Water Potential Prediction

Building upon our previous work in biophysical modeling, we employ advanced machine learning techniques to investigate the impact of ...

Sep 252 min read

DIY Fruit Wetness & Temperature Sensor: Mimicking Nature for Better Crops

I'm excited to share a design concept I've been working on – a DIY fruit wetness and temperature sensor specifically for small fruits...