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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 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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