A simple approach to complex agricultural decisions.
Yaleh turns climate, agronomic, and field-level signals into advisories that are understandable, useful, and adapted to local realities.
Five principles that guide Yaleh
Localization
An agricultural advisory should be as close as possible to the field, not only the province.
Simplicity
The farmer does not need to see the complexity. The farmer needs a clear advisory.
Prudence
When uncertainty is high, Yaleh must communicate it clearly.
Field validation
Feedback from farmers, agents, and partners progressively improves the service.
Responsibility
Yaleh complements local experience and agricultural services. It does not replace them.
In simple terms
Understand the context
Area, crop, season, language, and the farmer or partner's need.
Read available signals
The system observes relevant agricultural and climate conditions without exposing technical complexity.
Turn signals into an advisory
Expressed in simple language: plant, wait, monitor, adapt, or seek support.
Communicate uncertainty
Each advisory may include a confidence level to avoid false certainty.
Learn from field feedback
Feedback from farmers, agents, and partners helps improve messages and the service.
Understanding confidence levels
Every recommendation indicates its uncertainty to support better decisions.
- HighAvailable signals are consistent and the recommendation is relatively stable.
- MediumSignals are partially consistent or the situation may change quickly.
- LowUncertainty is significant. The farmer or partner should strengthen local observation before acting.
What we do not publish in detail
To protect service quality, operational security, and ongoing work, Yaleh does not publicly disclose all internal rules, detailed sources, thresholds, models, validation processes, or technical architecture.
We publicly explain our approach, principles, limitations, and responsibilities. Technical details may be discussed under appropriate agreement with qualified partners.