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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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Jun 15, 20232 min read
A Deeper Dive into Crop Water Stress Index: Determining Wet and Dry Thresholds
Recall that CWSI relies on establishing wet (non-stressed) and dry (stressed) ΔT (canopy-to-air temperature difference) thresholds...
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Apr 15, 20235 min read
Unlocking the Secrets of Soil Moisture: A Plant's Perspective
My journey towards developing the most accurate soil moisture sensor began as an undergraduate, a pursuit that continues to challenge me...
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Mar 24, 20239 min read
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...
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Mar 15, 20232 min read
The Hidden Complexity of VPD Measurement
While AI and sophisticated sensors offer exciting possibilities for precision agriculture, it's crucial to remember the fundamental...
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