PSA Marine: Hydroponics AI Monitoring & Optimal Harvesting
AI-based optimal harvesting and remote sensory monitoring for PSA Marine's sustainable hydroponics farming initiative.
Selected as technology partner to deliver a complete remote hydroponics monitoring and sensing solution for PSA Marine's hydroponics project, part of the PSA sustainability movement. The system features one of the industry's first AI-based harvesting alert systems, matching LUX readings against plant type, water quality, and nutrient levels to signal optimal harvest timing. Data is collected and monitored through a customised mobile application with live video feeds overlooking plant growth stages across each plot.
PSA Marine's hydroponics sustainability initiative needed a monitoring system that could tell growers not just what conditions were, but when conditions indicated the optimal moment to harvest, a predictive capability.
Built an AI-based harvesting alert system correlating LUX readings against plant type, water quality, and nutrient levels to identify optimal harvest windows. Delivered the monitoring through a customised mobile application with live video feeds of each plot, overlaying growth-stage visuals with the underlying sensor data.
One of the industry's first AI-based hydroponics harvesting alert systems delivered for PSA Marine, giving growers a predictive, multi-signal view of harvest readiness in support of PSA's broader sustainability movement.
An "optimal harvest" alert is only possible because the system correlates multiple signals at once (light, water quality, nutrients, plant type) rather than relying on a single sensor reading or a fixed calendar. The same multi-signal approach applies to any operational decision a mid-market enterprise wants to automate: one sensor tells you a fact; several sensors correlated together tell you when to act.
Kok, T. (2026). PSA Marine: Hydroponics AI Monitoring & Optimal Harvesting [Case study]. terencekok.com. https://terencekok.com/projects/psa-marine-hydroponics-ai-monitoring/
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, correlating light, water quality, and nutrients 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.
