Remember that time you spent months fine-tuning a machine learning model to predict crop yields? You meticulously collected data, tweaked...

Signal processing includes steps such as baseline calculation, feature extraction, and normalization. These steps consider user settings ...

I trained a machine learning model to accurately classify leaf wetness events into categories such as rainfall, dew, and frost. The model ..

This article chronicles a decade of research (2012-2021) dedicated to advancing thermal sensing for crop monitoring. My journey began...

The process of observing and analyzing in one’s mind is gradually being replaced by “let’s throw everything into the algorithm and see what