Decode plant signals to detect stress earlier than ever
PhytoTester monitors the bioelectrical language of your crops, transforming raw signals into actionable early warnings
Built on plant bioelectrical science
Bioelectrical signals
We measure plant electrical responses to detect early stress patterns
Non-invasive & field-ready
Algorithms detect stress signals and deviations before symptoms become visible
Actionable early insight
Detect stress earlier than visual inspection and react sooner
Measure
Non-invasive capture of bioelectrical oscillations via proprietary sensors
Interpret
Proprietary AI translation of plant signals into precise stress patterns
Support
Actionable intelligence for precision agriculture and decision making
Visible symptoms mean
damage is already done.
Traditional monitoring detects stress only after cellular damage becomes irreversible. PhytoTester decodes the bioelectrical language of your crops, providing actionable insights before physical symptoms emerge
Conventional methods are reactive
PhytoTester is proactive
Traditional Tools
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Visible Symptoms Only
Detection occurs only after cellular damage becomes irreversible
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Environmental Guesswork
Sensors track outside conditions, missing the plant's internal biology
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Lab-Bound & Slow
Accurate in theory, but impractical for daily field-scale operations
Precision Intelligence
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Cellular Bio-Signals
Identifies stress markers at the root, long before physical decline
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Real-Time Translation
Captures and decodes biological reactions into actionable alerts
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Field-Ready Scale
Non-invasive technology designed for high-throughput, modern agriculture
From raw bio-signals to
actionable intelligence
Signal Capture
Proprietary non-invasive sensors collect high-frequency bioelectrical oscillations
AI Analysis
Machine learning models filter physiological noise to isolate specific stress markers
Early Insight
Actionable intelligence delivered days before visual damage occurs
Access our Technical Deep-Dive methodology
Get exclusive insights into our signal processing algorithms and predictive models
Request Deep-Dive Report
Provide details for a customized precision diagnostic.
Scientific Endorsement
Trusted by leading academics and international agricultural experts
Doctor of Agronomy, Professor, Academician of the Academy of Agricultural Sciences, Coordinator of the Plant Science Division at the Academy of Agricultural Sciences, National Plant Genetic Resources Coordinator at FAO
“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 Technical Sciences, , Professor, Member of the Georgian National Academy of Sciences, Member of the Georgian Academy of Agricultural Sciences
“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 Electical and Computer Engineering, Professor at the Agricultural University of Georgia, Founder of Phytotester, Expert in Bioelectrical plant signaling and Agricultural Innovation
“PhytoTester represents a new generation of intelligent agrotechnological systems and serves as a digital transformation tool for crop production, integrating sensor technologies and AI-driven analytics into a unified decision-support platform.”