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Nov 17, 20242 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 ...
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Nov 10, 20242 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 ..
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Oct 2, 20243 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 ...
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Sep 22, 20241 min read
Plants - The Unsung Heroes of Soil Moisture Sensing!
I'm a strong advocate for plants as the best soil moisture and potential sensors. Data-driven tools integrating canopy feedback provide ...
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Sep 21, 20241 min read
Open-Source Agronomists' Python Library: CWSI 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...
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