Imagine you've developed a versatile datalogger-controller using an Arduino board to monitor and control environmental conditions. This device can accept signals from a variety of sensors, including soil moisture, electrical conductivity, and pH sensors, and can control solenoid valves using a relay board. To add a layer of precision, the datalogger incorporates a GPS module to geotag sensor data during field installations.

Recently, I was tasked with developing a software package (test-suite) for End-of-Line (EoL) testing of an embedded Linux system (ELS)...

Discover a cutting-edge Raspberry Pi camera integrating thermal, multispectral, and onboard AI for immediate agricultural analysis in the

Learn how to construct an inexpensive yet durable enclosure to protect your Raspberry Pi camera, enabling continuous, unattended image and

Revolutionizing agricultural monitoring with affordable, automated imaging systems that deliver actionable insights directly from the field.