How does PhytoTester work?

PhytoTester uses two non-invasive electrodes to measure bioelectrical signals from plants. The reading takes 2 seconds and detects stress 3-5 days before visible symptoms.

What crops does PhytoTester work on?

PhytoTester works on grapevines, hazelnuts, apples, ornamental plants, seedlings, and most agricultural crops. The technology is crop-agnostic.

Bioelectrical Plant Diagnostics · Field-Ready

The plant knows before you do

PhytoTester reads the bioelectrical language of your crops — detecting water stress, root failure, and disease 3–5 days before any visible symptom appears.

Explore Technology

~2 secReading time

80+Prototypes built

12Active farm pilots

₾150kGITA grant

PhytoTester · Live Readout Optimal

SPECIESVITIS VINIFERA

SIGNAL12.4 mV

STRESS0.03 / 1.00

ROOT97%

TIME2.1 sec

PhytoTester · Live Readout Optimal

SPECIESVITIS VINIFERA

SIGNAL12.4 mV

STRESS0.03 / 1.00

ROOT97%

TIME2.1 sec

Who Is PhytoTester For?

Two paths. One instrument.

🌱

For Farmers

Protect your harvest

Know exactly when to irrigate, treat, or act — based on what your plants are actually telling you.

Pre-symptomatic stress detection
Precision irrigation decisions
Seedling viability audit
Works in winter on bare plants

📊

For Investors

Deep-tech with real traction

Proprietary bioelectrical measurement methodology. 80+ prototypes. 12 active pilots. GITA-backed.

Unique IP — no direct competitor
12 active farm pilots across Georgia
FAO & Academy of Sciences endorsement
Three-tier platform: device + AI + digital twin

See Traction Data

Core Technology

Built on plant bioelectrical science

Three principles that separate PhytoTester from every conventional monitoring approach.

Bioelectrical signals

We measure the plant's own electrical responses — stress markers that appear at the cellular level, long before any visible symptom.

Non-invasive · Field-ready

No tissue damage. No lab. Two electrodes on a plant or soil surface — result in 2 seconds.

Actionable early insight

Detection 3–5 days before visual damage. Irrigate, treat, or remove with objective data — not guesswork.

80+Prototypes built

12Farm pilots active

10Commercial sales

₾150kGITA grant received

Interactive Signal Simulator

See the difference in 2 seconds

Select a plant and stress condition below. This is what PhytoTester reads in the field — bioelectrical signals that reveal internal plant state before any visible change.

Plant

Condition

12.4–14.8 mVSignal

0.03Stress Index

HealthyStatus

2.1 secReading Time

Next-Generation Intelligence

Visible symptoms mean damage is already done

Conventional monitoring catches stress only after cellular damage is irreversible. PhytoTester decodes the plant's internal language — before physical symptoms emerge.

Real-TimeEarly Warning

3–5Days ahead of symptoms

The Market Gap

Conventional tools are reactive.
PhytoTester is proactive.

The Legacy Approach

Traditional Tools

Detection only after visible cellular damage
Weather sensors miss the plant's internal biology
Lab analysis: accurate but slow and impractical at scale
Reactive irrigation based on schedule, not plant need
No early warning before yield loss occurs

The PhytoTester Edge

Precision Intelligence

3–5 days before visual symptoms appear
Direct bioelectrical read of internal plant state
Field-ready, 2-second non-invasive reading
Precision irrigation triggered by the plant's own signal
Pre-symptomatic alerts protect yield and quality

The Engineering Pipeline

From raw bio-signal to actionable intelligence

Two non-invasive electrodes. One 2-second reading. Decisions backed by objective biological data — not guesswork.

Phase I · Sensing

Measure

Proprietary sensors capture high-frequency bioelectrical oscillations from plant tissue or soil. Zero damage. 2–10 seconds.

Phase II · Decoding

Interpret

Machine learning models filter physiological noise and isolate specific stress markers: water deficit, root dysfunction, pathogen response.

Phase III · Output

Decide

Actionable intelligence delivered days before visual damage. Irrigate, treat, or remove — with data, not guesswork.

Pilot Results

Tested in the field. Validated by results.

Real data from active PhytoTester deployments across Georgia.

Viticulture

Precision harvest timing

Detected exact physiological maturity in grapevines 72 hours before visual indicators — eliminating over-ripening risk.

72hEarlier detection

0Over-ripe losses

Active · Kakheti

Nursery

Seedling viability audit

Two grafted seedlings, visually identical. PhytoTester distinguished the viable from the non-viable in 5 seconds.

5 secDecision time

100%Accuracy

Active · Samegrelo

Ornamental

Root integrity in dormancy

Identified non-viable plants during winter dormancy — months before the growing season, preventing costly losses at scale.

3 moEarlier diagnosis

57Units deployed

Active · Georgia

Scientific Endorsement

Trusted by leading academics and international experts

Independently validated by the Georgian National Academy of Sciences and FAO national coordination.

For the first time, we have a tool that objectively and efficiently assesses the physiological state of plants, eliminating subjectivity from agronomic decision-making.

Doctor of Agronomy · Professor · Academician · FAO National Coordinator

Levan Ujmajuridze

Director of SRC Agriculture · FAO Georgia

PhytoTester represents an interdisciplinary engineering platform that enables the digital interpretation of biological signals and transforms them into real-time decision-making algorithms.

Doctor of Technical Sciences · Professor · Member of Georgian National Academy of Sciences

Alexandre Didebulidze

Chief Academician-Secretary · Georgian National Academy of Sciences

PhytoTester represents a new generation of intelligent agrotechnological systems, integrating sensor technologies and AI-driven analytics into a unified decision-support platform.

Doctor of Engineering · Professor · 15 Patents · Founder, PhytoTester

Prof. Tamaz Bichiashvili

Doctor of Engineering · 15 Patents · CTO, PhytoTester