PSA Marine: Hydroponics AI Monitoring & Optimal Harvesting
AI harvest timing and remote sensor monitoring for PSA Marine's sustainable hydroponics farming initiative.
Chosen as technology partner to deliver a complete remote monitoring and sensing solution for PSA Marine's hydroponics project, part of the PSA sustainability movement. The system includes one of the industry's first AI-based harvesting alert systems. It matches LUX readings against plant type, water quality and nutrient levels to signal the best time to harvest. Data is collected and monitored through a custom mobile app. Live video feeds show each plot's plants at every growth stage.
PSA Marine's hydroponics sustainability initiative needed a monitoring system that could tell growers more than what conditions were. It had to tell them when conditions pointed to the best moment to harvest. That is a predictive capability.
Built an AI-based harvesting alert system. It compares LUX readings with plant type, water quality and nutrient levels to find the best harvest windows. Delivered the monitoring through a custom mobile app with live video of each plot. The app lays growth-stage visuals over the underlying sensor data.
Delivered one of the industry's first AI-based hydroponics harvesting alert systems for PSA Marine. It gives growers a predictive view of harvest readiness, drawn from several signals. It supports PSA's wider sustainability movement.
- My role
- Built the AI harvesting alert system, Orion Five Engineering
An "optimal harvest" alert is only possible because the system links several signals at once (light, water quality, nutrients, plant type). It does not rely on a single sensor reading or a fixed calendar. The same approach applies to any operating decision a mid-market enterprise wants to automate. One sensor tells you a fact; several sensors read together tell you when to act.
The same diagnostic logic from deployments like this one, applied to your business in half a day.
Book the WorkshopDiscuss a similar programme- Client reference letter from PSA Marine available to procurement teams on request; not published at the client's request
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Nobody had built an AI harvest alert for hydroponics quite this way before. It reads light, water quality and nutrients together instead of relying on a fixed calendar. So a fair amount of the early work was watching plants grow slower or faster than the model predicted, and adjusting from there. PSA's sustainability team wanted something growers would trust over their own instinct, which is a higher bar than a dashboard. Catching a harvest window a human would have missed by a day is why I like this kind of work.

