UNIVERSITY ENGINEERING PROJECT

Smart agriculture monitoring

Understand growing conditions through connected sensors.

All engineering case studies

An IoT monitoring project using soil moisture, temperature, humidity and water-level measurements.

4 sensor typesGrowing conditions

The challenge

Separate measurements can make it difficult to understand what is happening across a growing environment. This project explored a connected view of key conditions.

The engineering work

The university work combined soil moisture, temperature, humidity and water-level sensing in an IoT monitoring system.

Outcome & context

The project demonstrated monitoring of multiple environmental variables. No commercial deployment, yield improvement or customer savings are claimed.

Why it matters

A basis for exploring visibility into changing conditions and more informed irrigation decisions. Automated irrigation is not presented as a completed feature.

This is the founder’s academic work, not a Mesab AI customer case study. Explore his engineering portfolio for further project context.

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