Context
This project was developed for a customer in Spain and focused on creating a practical gardening system that could monitor plant conditions and support more consistent care. The goal was to make the growing process less dependent on manual monitoring and more responsive to actual environmental conditions.
Building for a specific customer rather than a generic demo changed the shape of the work: the system had to be reliable enough to run unattended in someone else's garden, simple enough to trust without constant supervision, and grounded in the environmental variables that actually mattered for that setup rather than every sensor that could theoretically be added.
02Smart, but still simple
Smart plant care requires balancing environmental support with simplicity. The challenge was building a system that could respond to real conditions such as soil and climate variables while remaining practical for a customer deployment and easy to maintain over time.
That trade-off ran through every decision: more sensing and more automation logic could always make the system marginally smarter, but each addition also raised the bar for what the customer would need to understand or maintain once the system was theirs to live with day to day.
03What was built
The system combined sensing and control logic to monitor the environment and respond to plant needs in a way that supports healthier growth. It represented a practical case of embedded design being used not just for hardware experimentation, but for a real end-user solution grounded in day-to-day usability.
Getting there meant treating the customer's actual garden as the design brief: the sensing and automation choices followed from what that specific space needed to stay healthy, rather than from a generic template applied to any garden.
04System thinking
Sensing
The system tracked key environmental and plant-related inputs so the gardening process could react to actual conditions rather than fixed assumptions.
Automation
Control logic translated those signals into timely actions, helping maintain better conditions with less constant human attention.
Results and lessons
This project reinforced the importance of designing intelligent systems around user needs and real-world operating conditions, not just around what's technically interesting to build.
The most valuable part was not simply the automation itself, but the way it made everyday care more reliable, measurable, and easier to manage for someone who wasn't going to be checking soil conditions by hand every morning.