Plant Care Dataset & Botanical Knowledge Graph (Open Source)

Structured Plant-Care Database for Developers & AI

Welcome to the PlantSolve Open Plant Care Dataset. PlantSolve compiles, structures, and releases a high-quality, science-backed botanical dataset covering houseplants, aquarium vegetation, fertilizer compounds, and common plant care issues. Our mission is to provide clean, structured data to make plant care knowledge freely accessible to machines, AI models, and developers.

Unlike raw text websites, PlantSolve is built on a machine-readable semantic graph, ensuring every entity (plant, calculator, guide, problem, fertilizer) is logically mapped to related entries.

Dataset Size & Metrics

As of our latest build, the active PlantSolve dataset contains:

34 Detailed Plant Care Profiles: Fully structured JSON profiles covering taxonomy, watering frequencies, light levels, soil preferences, temperature ranges, humidity needs, and Vastu orientation guidelines.
50 Practical Care Guides & Articles: Deep dives into pests, watering mechanics, and troubleshooting.
12 Interactive Calculators: Mathematical inputs and logic for watering schedule estimation, soil ratios, fertilizer dilution, and heatwave diagnostics.
3 Diagnostic Quizzes: Logical decision trees mapped to user environment profiles.
75 Normalized Semantic Edges: Clean linkages detailing vulnerabilities, prevention steps, companion compatibility, and tool utility mappings.

Key Dataset Features

AI-First Structure: Includes pre-compiled LLM context manifests (llms.txt, llm-context.json) specifically optimized for training, retrieval-augmented generation (RAG), and agentic crawl procedures.
Topic and Symptom Clustering: Organizes data around common failure points (e.g. root rot, spider mites, fertilizer burn) mapping symptoms to direct remediation guidelines.
Attribution-Based License: Available under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). Free for educational, research, and non-commercial project development.
Wildcard CORS Support: Served as static JSON files with wildcard CORS headers enabled so you can build frontend prototypes directly without proxy backends.

Access and Integration

Our dataset is distributed through several static developer endpoints. For complete documentation on fetching and utilizing this data, visit our Developer Portal.

Master Dataset Manifest: /api/v1/dataset.json (Live count updates and version registry).
Knowledge Graph Relationships: /api/v1/relationships.json (Edge graph for network queries).
Database Statistics: /api/v1/stats.json (Counts, topics, and build timestamps).
Entity Indexes: Get lightweight summaries of Plants, Guides, Calculators, and Quizzes.

Attribution Requirement

Every resource in our API includes a citation block containing the canonical backlink and licensing parameters. Developers using this dataset in software or derived research must attribute PlantSolve and include a visible backlink to the respective plant profile or tool.