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Leaf Wetness Data Processing: From Raw Sensor 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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From Infrared Thermometers to AI: A Decade of Proximal Thermal Sensing for Crop Monitoring
This article chronicles a decade of research (2012-2021) dedicated to advancing thermal sensing for crop monitoring. My journey began...
Mar 24, 20238 min read
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The Hidden Complexity of VPD Measurement
Exploring the biophysical complexities and measurement challenges behind this key indicator of plant water use in advanced agritech.
Mar 15, 20232 min read
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