Practical guides for real agricultural use
These guides are designed to help users, agronomists, field teams, and partner organizations understand not only how FildraAI works, but how to use it well in practice.
Why we publish guides
Documentation explains what our products are and how they work. Guides go a step further: they explain how to think, how to apply the system well, and how to use agricultural intelligence more responsibly in real field conditions.
Featured guide
Why agricultural AI needs context, not just data
A practical explanation of why agricultural intelligence cannot rely on raw data alone, and why place, season, crop stage, and local conditions matter before any useful recommendation can be made.
How to use the playground
Short walkthroughs for each playground tool — showing what to try, how to interpret results, and how to get the most out of each feature.
How to use the FieldVision playground
Upload a crop image, run visual diagnosis, and understand how to read the AI focus area output that shows which parts of the image influenced the result.
Open playground →How to use the FieldMap playground
Explore regional crop and disease data on an interactive map. Learn how to filter by location, read district-level signals, and use map context in field decisions.
Open playground →How to use the FieldState playground
See how FieldState surfaces what needs attention on a farm. Walk through the attention feed, understand how events are prioritised, and explore the seasonal view.
Open playground →How to use the FieldAudio playground
Try voice-based interaction with the advisory system. Learn how to phrase field questions, how the system handles speech, and what kinds of answers to expect.
Open playground →How to use the FieldKB playground
Query the agricultural knowledge base directly. See how to search for crop conditions, disease information, and agronomic guidance — and understand where the knowledge comes from.
Open playground →Guide categories
As the platform grows, our guides will expand across product usage, field workflows, pilot operations, and responsible deployment.
Using the platform well
Practical guides for using products like FieldGuide, FieldVision, and future platform features more effectively.
Applying AI in real agricultural work
Workflow-oriented guides for agronomists, field teams, and agricultural organizations working in real farming environments.
Running pilots and evaluation loops
Guides for teams testing the platform in one crop, one district, or one operating environment before scaling.
Trust, safety, and governance
Practical guidance on using agricultural intelligence responsibly, with attention to transparency, safety, and human oversight.
More guides are coming
We are building this section gradually so that each guide reflects real product direction and practical usefulness rather than filler content.
- How to use FieldGuide across the crop lifecycle
- Taking better crop photos for visual diagnosis
- Turning model outputs into field action plans
- Running a small pilot with your agricultural team
note: Our guides are meant to complement product documentation, not replace it. If you want product structure, scope, or system behavior, start in docs. If you want practical application, start in guides.