Documentation
Every season should teach the next. These docs explain how FildraAI turns field input (photos, voice, questions, observations) into guidance you can understand, keeps it local and safe, and carries the context forward as farm memory.
Getting started in one session
- Create a session: choose your crop and country so we can load the right country pack.
- Upload a clear, in-focus photo or describe symptoms in your own words.
- Answer a few follow-ups (region/district, agroecological zone, growth stage, season) to localize guidance.
- Receive a short plan: clarifying questions → recommended actions → monitoring → safety notes.
Our tools
FildraAI combines specialized tools to provide image diagnosis, conversational follow-up, structured knowledge, and location-aware context.
FieldVision
Image-based crop disease diagnosis with visual explanations. Upload a photo, see what the AI focuses on, and understand why a disease was identified.
Learn more →FieldGuide
Conversational assistant for follow-up questions. Turn image results and local context into concrete action plans through natural dialogue.
Learn more →FieldMap
Location-aware guidance that ensures recommendations match your country, region, district, and local agroecological conditions.
Learn more →What makes guidance local
Behind each recommendation is a structured context layer: country packs, spatial slots, and seasonal signals that keep guidance tied to where and when you farm.
Country packs
Calendars, soils (pH/liming), varieties, regulatory notes (PHI/REI), and supplier context tuned for each country we support.
Geographic slots
Country → region (province/county) → district (ADM2) plus agroecological zones to shape which risks and options appear first.
Seasonal nuance
Month and growth stage influence which diseases, nutrient issues, and management options are surfaced as “most likely” first.
Gaps made explicit
If PHI/REI or regulatory data for a product is missing, chemistry is either omitted or clearly marked as “not in context” rather than guessed.
API references
Programmatic access to FildraAI's models and services. Each reference page documents the exact endpoints, request parameters, valid ranges, and example payloads.
Image Diagnosis API
Upload a crop photo and receive a disease prediction with confidence score and AI focus area overlay.
Read reference →Media Search API
Search the FildraAI reference library for crop images by plant, disease, growth stage, or free-text description.
Read reference →Machine Learning API
Crop recommendation (22 classes) and maize yield prediction with optional reasoning traces. Includes a combined snapshot endpoint.
Read reference →During the pilot, API access is limited to selected partners. If you'd like to explore integrations or co-branded deployments, contact us.
Guides & case studies
Next steps
Dive deeper into how guidance is generated and how to use it responsibly in the field.