Leveraging AI in controlled environments requires a deep understanding of plant science to avoid common pitfalls and ensure meaningful insights.

This article explores how affordable computer vision systems combined with evapotranspiration models can automate the estimation of crop water needs for more efficient irrigation.

For a long time, I wanted to share the source code (embedded software in C/C++) for my computer vision system (BINA Pro) system on GitHub.

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

Exploring the biophysical complexities and measurement challenges behind this key indicator of plant water use in advanced agritech.