Measured outcomes

What growers have measured. What the data looks like.

These are results from deployments using Syntheflora's biofeedback-based deficit irrigation approach. They are stated as ranges — because results depend on crop type, baseline conditions, regional climate, and how the data is used. We do not cite maximums as guarantees.

Significant water reduction. Managed yield impact.

Up to 40–50% of irrigation water in conventional agriculture is lost to leakage, evaporation, and imprecise scheduling — water that the crop never receives. Deficit irrigation — delivering water below the crop's full requirement — is an established agronomic strategy, but its precision depends entirely on knowing how water-stressed the plant actually is at any given moment. Applied too conservatively, it delivers no benefit. Applied too aggressively, it damages yield. The window between the two is narrow and varies by crop, stage, and climate.

Syntheflora's biofeedback system reads the plant's internal water status — sap flow, tissue impedance, leaf transpiration, turgor — continuously and in real time. Irrigation is adjusted based on the plant's actual state, not on a schedule or a soil moisture threshold. The result is water reduction that stays within the yield-safe zone.

Crop type	Water reduction	Yield impact
Wine and table grapes	25–40%	0–10% change
Tomatoes	20–35%	≤8% reduction
Crops under severe water constraint	Up to 50% *	Managed trade-off

* The 50% figure reflects results from controlled deficit irrigation studies in academic literature (Ray et al., Agricultural Water Management 2023; Hussen et al. 2019). Syntheflora deployments in wine grapes and tomatoes have produced the ranges shown above. The 50% figure is cited as market context for what is possible under maximally stressed conditions — it is not a standard Syntheflora deployment outcome.

Published agronomic research demonstrates that 50% water reduction can produce +24% improvement in water productivity (yield per unit of water used) in certain pulse crops. Syntheflora's biofeedback approach specifically targets the yield-protective zone: enough stress to improve water productivity without crossing into yield damage. The sensor data determines where that boundary is for each individual operation.

Quality gains that translate to market value.

Controlled water stress at specific phenological stages does not merely conserve water — it steers the plant's biochemistry toward higher concentrations of the compounds that define product quality. The mechanism is well-documented in agronomic literature: mild, precisely timed stress triggers accumulation of secondary metabolites — the phenolics, anthocyanins, and terpenes that determine flavour, aroma, and structural integrity in premium crops.

The challenge has always been precision. Applied too early, stress reduces berry size and disrupts phenological development. Applied at the wrong intensity, it crosses into damage. Syntheflora's sensor cues detect the specific physiological moments when the plant's internal state indicates that a stress event will produce a quality response rather than a damage response.

Wine and table grapes

Sensor cue: Sap-flow and canopy stress index signals during post-veraison.
Action: Cycled deficit irrigation until berries reach target berry tension.
Quality outcome: Confirmed increase in °Brix and phenolic concentration. Enhanced flavour profile. Improved structural integrity for transport.
Water outcome: 25–40% water reduction alongside these quality gains.

Tomatoes

Sensor cue: Stem impedance signals indicating pericarp thickening in late season.
Action: Late-season deficit irrigation pulse with EC adjustment.
Quality outcome: Increased total soluble solids (TSS). Significantly improved skin integrity for long-haul transport. Yield impact ≤8%.
Water outcome: 20–35% water reduction.

Unprecedented data depth. Structured from the moment of collection.

Agricultural ESG reporting, GACP compliance for regulated botanical operations, and water stewardship certification all share the same foundational requirement: traceable, structured, timestamped records of what happened to the crop and its environment, at batch level, throughout the growing cycle. Most operations construct these records retrospectively — assembling manual logs, weather station exports, and spot-test results into a compliance document after the season closes.

Syntheflora generates this infrastructure as a natural output of deployment. The system is recording continuously. Every physiological measurement, every irrigation event, every environmental parameter is timestamped and stored in structured format. There is no extra administrative work. The compliance record is the same dataset used to make the growing decisions.

See the detailed compliance output ↓

In the field

From plant signal to agronomic decision.

Three examples of how the sensor cue translates to a result.

Wine and table grapes

The critical window in grape production is post-veraison — the stage when berries begin to colour and sugar accumulation accelerates. It is also the window when water management most directly determines the balance between quality concentration and yield loss. Growers following calendar-based protocols during this stage are making the decision blind: they do not know where the plant's hydraulic stress sits relative to the optimal quality-triggering threshold.

Syntheflora monitors sap-flow rate and a canopy-level stress index during post-veraison continuously. When the composite signal indicates the plant has reached the target tension — the point where berry chemistry is concentrating without approaching hydraulic stress — irrigation cycles without needing a manual assessment. The system holds the plant in the quality window. The grower receives both the water saving and the quality outcome from the same data-driven decision.

Tomatoes

Tomatoes grown for processing and long-haul export carry a specific late-season challenge: pericarp development. Skin integrity determines whether fruit survives the mechanical and thermal stress of transport. The conventional approach to improving it — reducing irrigation across the board in the final weeks — risks yield and creates quality inconsistency between batches.

Syntheflora's stem impedance measurement detects the electrochemical changes in the stem that signal pericarp thickening is under way. The system responds with a precise deficit irrigation pulse timed to the plant's own developmental signal, combined with an EC adjustment to the fertigation. The result is targeted improvement in skin integrity without broad late-season water restriction across the whole crop.

Greenhouses and hydroponics

In soil-free systems, the absence of a soil buffer means the root zone is more directly and more rapidly affected by irrigation events. Root health — and the plant's ability to absorb nutrients efficiently from the fertigation solution — determines both yield trajectory and resistance to disease pressure.

The root biomass sensor and irrigation sensor combination in the hydroponic configuration monitors root development and water uptake simultaneously. Early-stage stress events that would not be visible in canopy condition for days are detectable in root zone dynamics hours after they begin. This allows intervention before stress has propagated through the plant system — protecting both the crop and the grower's input investment.

Case studies

From deployment to result.

Named when the grower has agreed to attribution. Regional descriptor when they have not.

Case studies from commercial deployments are being documented and will be added to this page as they are completed. If you are currently deploying Syntheflora and would like your results included here, contact us at info@syntheflora.com.

The results data in the table above reflects the ranges from deployments using the phytosensing approach described on this page. We do not publish case study content until the grower has reviewed and approved the specific figures and narrative.

These results are built on published science.

The sensor system behind Syntheflora was developed at CYBRES GmbH, Research Center of Advanced Robotics and Environmental Science, Stuttgart, Germany. The measurement methodology, the biofeedback actuation approach, and the crop-specific response patterns documented on this page all derive from peer-reviewed research conducted over years of controlled experiments.

A commercial deployment is not a research experiment. But it is instrumented with the same hardware, applying the same methodology, to the same biological systems that the research describes. The numbers on this page are not isolated claims. They reflect patterns first observed in controlled conditions and now reproduced in field deployments.

Read the research that underpins these results →

For compliance and ESG buyers

The data infrastructure that operational reporting requires.

What is generated

Every Syntheflora deployment generates a continuous, structured record of the crop's physiological and environmental state throughout the growing season. This is not a summary produced at the end of the season. It is a timestamped dataset built from every sensor reading, every actuation event, and every environmental measurement taken during production.

The record covers:

Volumetric water use by zone and irrigation event
Soil electrical conductivity and temperature
Leaf transpiration and tissue water status
Stem physiological state including stress event flags
Canopy PAR and spectral conditions
Air temperature, humidity, CO₂, and ozone levels
All actuation events — irrigation, fertigation, light — with timestamps and duration

How it exports

All data is exportable in structured format compatible with ERP and LIMS platforms. The export includes batch-level summaries, full time-series data across all active channels, and automatically flagged deviation events where sensor readings crossed defined thresholds. The threshold definitions are set by the operator and stored with the dataset, so the logic behind every deviation flag is documented alongside the flag itself.

There is no manual compilation required. The compliance record is the same dataset used to make the growing decisions. If an auditor asks what the irrigation record was for batch 47 during the post-veraison period, the answer is in the system already.

Applicable frameworks

GRI 303 Water and Effluents — water stewardship reporting
SASB Agribusiness Water management standard
GACP Good Agricultural and Collection Practices — regulated botanical operations
GMP Good Manufacturing Practice — pharmaceutical-grade botanical production
Carbon credit programmes Data-backed proof of reduced water input for scheme administrators

Syntheflora does not produce a pre-formatted regulatory submission. It produces the structured, timestamped, exportable data that compliance submissions are built from. Your agronomist, compliance officer, or external auditor works with that data in your existing ERP or LIMS environment. The system reduces the administrative cost of compliance documentation. It does not replace the compliance function.

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Your operation. Your crop. Your numbers.

The ranges on this page reflect deployments across different crops, regions, and operational contexts. What Syntheflora would measure in your specific operation — your soil, your microclimate, your current water use, your target quality outcomes — is a conversation we can have before any commitment is made. The consultation costs nothing. The data it produces is yours.

Request a Consultation See the science behind these results