Petiole helps researchers, agronomists, educators, and growers measure plant traits, analyse growth signals, and build structured plant data assets from images.
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Manual plant observation introduces 15-20% inter-observer variability, compromising trial accuracy. Analog data collection lacks the verifiable audit trail required for high-stakes regulatory submissions. Petiole develops mobile-first AI tools that help teams measure, compare, and document what is happening in the field, nursery, and supply chain. From crop monitoring and plant phenotyping to seedling quality checks and agrifood quality control, our solutions are designed for real work — not just demos.
Petiole's advanced computer vision reduces human subjectivity. Every measurement is automatically geotagged and timestamped, providing the rigorous transparency required for GEP/GLP-aligned documentation.
Built for growers, researchers, agribusiness teams, and quality-control professionals working with real plant data.
Computer vision for plant science
Petiole turns smartphone images into structured plant measurements for plant science, agronomy, forestry, and controlled-environment growing.
Petiole Pro is an AI-powered computer vision platform built for the field and the lab. Designed for agronomists, foresters, crop scientists, and agricultural professionals, Petiole Pro turns your smartphone into a smart plant phenotyping tool. Trusted by researchers and practitioners globally, it’s the easy-to-use tool that replaces guesswork with precision.
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Enterprise AI for agrifood. Digitize Standard Operating Procedures (SOPs) and automate quality control for produce and dairy supply chains.
Learn More →Petiole Pro has been used in peer-reviewed and applied research workflows across tea canopy monitoring, aeroponic lettuce modelling, and forest regeneration studies.
Tea Research Institute of the Fujian Academy of Agricultural Sciences
In mountainous tea plantations in Fujian, Petiole Pro was used to measure reference leaf area for Specific Leaf Weight-based Leaf Area Index calculations, supporting UAV-based canopy monitoring models.
Read the full study →Politecnico di Torino
In a controlled aeroponic lettuce system, Petiole Pro was used to quantify total leaf area as a key phenotyping trait for hybrid AI modelling of crop growth, water consumption, biomass, and nitrate content.
Read the full study →ETH Zurich & WSL Research
In a UNESCO-listed reserve, Petiole was used to quantify fresh-leaf area for biomass-allocation analysis in European beech forest regeneration, enabling precise leaf area ratio calculations.
Read the full study →
Measure leaf area, perimeter, greenness, and other plant traits from images — without slow manual workflows.
Count leaves, seedlings, flowers, buds, berries, and other plant organs faster with computer vision.
Turn seedling trays into measurable data for germination rate, emergence, growth stage, and quality scoring.
Compare treatments, varieties, and time points using repeatable visual indicators of plant response.
Connect images, measurements, observations, treatments, and time points into structured plant data assets.
See how Petiole turns plant images into measurable traits such as leaf area, perimeter, greenness, and organ counts.
Bring examples from your greenhouse, nursery, field trial, classroom, or lab — and see what can be measured.
Understand what is possible, what data you can collect, and how Petiole can fit into your existing plant-science workflow.
Join the researchers, agronomists, and agribusiness teams using Petiole to generate high-precision plant data from images.
Discover how Petiole helps measure leaf area, perimeter, greenness, and other plant traits from smartphone images.
April 2026
Learn how computer vision can support counting leaves, buds, flowers, berries, and seedlings in plant science workflows.
March 2026
See how repeatable image-based measurements can strengthen monitoring, reporting, and structured plant datasets.
February 2026Petiole Pro helps turn plant images into measurable data. Depending on the workflow, it can support leaf area measurement, greenness assessment, fruit, flower and bud counting, germination counting, and other computer-vision tasks for agriculture, agrifood, and forestry.
For many plant measurements, you can start with a smartphone and a Petiole Pro™ calibration plate. Some workflows may use controlled image capture, batch uploads, or customised setups for research, production, plant nursery, or agrifood quality-control environments.
No. Leaf area is one important example, but the broader purpose is computer vision in agriculture. Petiole Pro™ demonstrates how seed, seedling, plant, crop, and produce images can become structured data for research, monitoring, quality control, and productivity improvement.
Absolutely! Petiole’s computer-vision workflows can support germination counting, seedling quality checks, nursery monitoring, and image-based assessment tasks relevant to forestry and plant production.
Yes. Petiole is suitable for plant phenotyping, crop trials, educational activities, and applied research workflows where consistent image-based measurements are valuable. Petiole Pro™ mobile application is free of charge and available on Android devices.
Petiole can support image-based greenness assessment. This is useful for relative comparison and visual plant-health signals, but it should not be presented as direct laboratory chlorophyll measurement. For absolute chlorophyll values, specialist instruments or lab methods may be needed.
Yes. If your team has a specific image-analysis challenge in agriculture, agrifood, or forestry, you can contact Petiole team to discuss whether a tailored workflow is possible.
Whether you are exploring Petiole Pro, planning a research workflow, or looking for computer vision support in agriculture, agrifood production, or forestry — we would be happy to hear from you.
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