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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...
Dec 1, 20243 min read
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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 18, 20243 min read
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Substrate Moisture Data Processing: From Raw Sensor Signal to Accurate Measurements and Classification
Signal processing includes steps such as baseline calculation, feature extraction, and normalization. These steps consider user settings ...
Nov 17, 20244 min read
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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 ..
Nov 10, 20243 min read
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Leveraging 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 ...
Oct 2, 20243 min read
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Open-Source Agronomists' Python Library: Empowering Water Stress and Transpiration Modeling
I'm excited to announce the availability of a Python version of the CWSI and transpiration module/class originally developed in C++ for...
Sep 21, 20242 min read
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