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Fruit Cracking Prevention

Fruit Cracking Prevention for Premium Tomatoes

One of Europe's leading premium tomato producers is using Sera to detect quality-threatening stress patterns weeks before they become visible — protecting flavour, yield, and brand reputation.

Customer

Looye Kwekers

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The challenge before Sera

High-Brix cherry tomato production is among the most demanding disciplines in protected horticulture. The same conditions that produce the intense sweetness consumers love — elevated EC irrigation strategies, tightly managed transpiration, and sustained osmotic pressure — also make the crop exceptionally sensitive to deviation.
For Looye Kwekers, producer of the Looye Honeytomato, maintaining that exceptional flavour season after season is both the defining goal and the central challenge. The difficulty is that the risk factors don't act in isolation. Irrigation timing, substrate moisture dynamics, transpiration rates, light intensity (natural and supplemental), temperature transitions, and nutrient uptake all interact across the growing cycle. A management decision made at 5am can have quality consequences that only manifest three to four weeks later — long after the correction window has closed.
This problem is especially acute during LED-lit winter periods, when the relationship between light, heat, and transpiration behaves differently than under natural sunlight. Conventional dashboards may show all parameters within normal ranges while the crop is silently accumulating the kind of stress that causes skin failures, flavour inconsistency, and unmarketable fruit.

How Sera helps

Rather than adding more sensors or more manual review cycles, Looye deployed Sera's Greenhouse Intelligence platform at their Naaldwijk facility to explore how structured data analysis could support daily crop management.
The platform consolidates climate data, irrigation patterns, substrate dynamics, drain analysis, and crop development records into a single, integrated view — replacing the hours of cross-referencing across spreadsheets and separate dashboards that previously stood between a grower and a complete picture.
Because the data draws from the previous day's measurements, it provides a structured retrospective view of what happened across the growing system and what patterns may be forming. Critically, it traces how variables relate to each other over time — not just whether individual readings are in range, but whether the combination of conditions is drifting toward a risk state. When the system identifies a developing pattern, it generates specific, actionable recommendations tied to a measurable causal factor: adjust irrigation timing, modify volumes, update climate setpoints.
The grower remains at the center of every decision. What Sera provides is faster recognition of what's forming, clearer insight into why, and stronger decision support at the moments it matters most.

The results

Without hard metrics to share, the value case for Looye is best understood as a structural shift in how quality risk is managed:

  • Earlier detection of compounding stress patterns — risks that previously became visible only after the correction window had passed are now identifiable at the physiological level, while there is still time to act.

  • Reduced analysis burden — patterns that previously required hours of manual cross-referencing across multiple systems are surfaced automatically in a daily structured summary.

  • Richer crop understanding — working with the platform builds a deeper, more connected picture of how the crop responds to complex combinations of conditions, compounding expertise over time rather than starting fresh each cycle.

  • Decision quality at scale — consistent analytical support across the operation, not dependent on a single senior grower's bandwidth or availability.

Why it matters

The premium fresh produce segment rewards consistency above all else. Consumers pay more for guaranteed flavour; retailers build differentiated product lines around it; brands like Looye Honeytomatoes stake their reputation on it. But delivering that consistency season after season, across a complex high-tech facility, demands a level of precision that conventional monitoring tools cannot sustain on their own. Sera shifts the model from reactive problem-solving — catching issues after they're visible — to proactive quality management: identifying risk patterns at the physiological level, in time to act. For premium growers, that shift doesn't just protect yield. It protects the brand.