Petiole Spruce is an AI-ready data and operations platform for agriculture and forestry. It connects images, measurements, maps, field observations, and workflows into one practical system for plant, crop, and forest intelligence.
Field teams, researchers, agronomists and forestry managers often collect valuable data: plant photos, scouting notes, plot IDs, treatments, sample labels, drone imagery, yield records, seedling counts, tree observations and lab measurements.
But too often, this information stays scattered across phones, spreadsheets, cloud folders, field notebooks, GIS layers, and disconnected dashboards.
Petiole Spruce brings these pieces together into a structured operational layer, where every image, plant, plot, field, forest stand, measurement and decision can be connected.
Spruce is built around a simple idea: field data should become useful decisions, not just stored files.
Spruce maps fragmented data into real-world objects: farms, fields, plots, orchards, forest stands, trees, seedlings, samples, images, measurements, treatments and seasons.
Instead of working only with files and folders, teams work with meaningful biological and operational concepts.
Spruce connects image-based measurements from Petiole Pro and custom AI workflows with field metadata, maps, labels, sampling protocols and reports.
A photo is no longer just a photo. It becomes a measurable record linked to a plant, plot, treatment, date and decision.
Teams can review measurements, compare sites, monitor sampling progress, inspect AI outputs, and build practical dashboards for field, lab and management workflows.
The goal is not only analysis. The goal is action.
Agricultural and forestry projects often involve sensitive data: farm locations, client projects, experimental treatments, commercial trials and research results.
Spruce is designed around workspace access, roles, controlled visibility and traceable data flows.
Spruce turns agricultural and forestry data into connected objects and actions. It helps teams understand not only what was measured, but where it came from, what it belongs to, and what should happen next.
Field or lab teams upload images, measurements, notes, labels or GIS-linked records.
Spruce connects the data to the right crop, plot, treatment, forest stand, sample or project.
AI processors and measurement tools generate structured outputs such as leaf area, greenness, counts, masks, traits or quality indicators.
Teams review results, compare trends, export reports, assign follow-up actions, or improve the next sampling round.
AI models can detect objects, measure traits and summarise images — but they need context. Spruce helps connect AI outputs to the real agricultural and forestry world: which plot, which crop, which sampling date, which treatment, which stand, which decision.
This makes Spruce a practical foundation for AI agents, visual intelligence workflows, automated reporting and decision support in plant science, farming and forestry.
Spruce is designed for teams that need more than isolated measurements: they need structured, traceable, AI-ready agricultural and forestry intelligence.