Core Technology

Bioelectrical plant diagnostics

Plants generate electrical signals milliseconds before any visible stress response. PhytoTester is the first field-deployable instrument that decodes them.

Hardware

Smart PhytoTester Device

Portable field instrument with gold-plated bio-signal probes, real-time AI pattern recognition, and Bluetooth 5.2 cloud integration. 2-second readings per plant.

AI Platform

phytotester.ai

Cloud-based AI platform that decodes raw bioelectrical signals into actionable stress diagnoses. Developed by Luka Raqviashvili (AI Architect, Charles University). Live dashboards, alerts, trend analysis.

Digital Twin

Farm Intelligence

Create a living digital model of your farm. Every plant reading feeds a predictive model that anticipates field-level stress events before they propagate across the plantation.

Device Specifications

Engineering precision, field durability

Hardware

Measurement methodBioelectrical impedance
SensitivityMicro-volt (μV)
Reading time2 – 10 sec
ConnectivityBluetooth 5.2
Electrode typeGold-plated, non-invasive
Tissue damageNone

AI & Software

Early detection3 – 5 days pre-visual
Signal processingProprietary neural network
Stress typesWater, root, pathogen
OutputDashboard + real-time alerts
Platformphytotester.ai
ApplicationPCT in progress
Intellectual Property

Patent protection in progress

The core bioelectrical measurement methodology is currently under patent application. The technology covers a proprietary method for detecting and interpreting plant bioelectrical signals in real-time field conditions.

The Science

Why bioelectrical signals?

Plants generate electrical action potentials as part of their stress response — a biological signalling system analogous to the nervous system.

PhytoTester captures these signals at the source, filters physiological noise, and isolates specific stress markers using trained machine learning models.

Deploy · Q3 2026

Your crops are already sending signals. Are you listening?

Live demonstration on your farm. Your crops. Your data.