Sense the field
Review soil moisture, temperature and humidity from configured sensors by farm zone.
The Capy Family / CapyF
CAPYF · FARM INTELLIGENCE
Turn field data into decisions you can act on.
CapyF connects sensor, environmental and operational data with AI to help farm teams understand conditions and decide what to do next.
01 / The operational problem
A sensor value is a starting point. The field gives it meaning.
Low soil moisture means little without knowing the crop, zone, recent conditions and watering setup. Farm monitoring becomes practical when readings lead to a check the team can make and an action it can evaluate.
Data and source context
- Soil moisture
- Temperature
- Humidity
- Farm records
- Weather / forecast context
CapyFOperational context
What the team reviews
- Dashboard
- Notification
- Recommendation
- User decision
02 / What the user sees
Sense. Understand. Recommend. Act.
Understand the conditions
Read trends alongside crop settings and recent field activity, including whether data is current.
Review a recommendation
Use care guidance and irrigation planning to decide what to inspect before watering.
Act with context
Review connected pump controls and LINE account interactions where configured for your installation.
03 / The role of AI
A clearer starting point for the next decision.
The farm advisor helps interpret field conditions and suggest what to review next. Irrigation planning also uses configured crop and watering inputs. Weather or forecast context should be verified for the location; an automatic forecast feed is not promised here.
What AI does not do
AI advice is not a guarantee of crop health or irrigation results. The operator confirms field conditions and remains responsible for action. Automatic and manual pump modes depend on the connected controller and configured settings; AI advice is not a claim of autonomous irrigation.
04 / Fit with existing systems
Start with the operation you already have.
The conceptual path is sensor → controller → cloud → CapyF → advisor → user. Current product scope includes sensor readings, watering plans, pump commands and linked LINE account interactions. Confirm controller compatibility, field connectivity and command feedback before enabling control at a site.
- Sensor
- Controller
- Cloud
- CapyF
- AI Advisor
- User
05 / Implementation
Agree the scope. Start with a useful decision.
- 01
Discover
Choose the farm zone, crop and decision to support.
- 02
Connect
Check sensors, controller, connectivity and reading quality.
- 03
Configure
Set zone context, care thresholds and the agreed control permissions.
- 04
Use
Compare recommendations with field observations and review the outcome.
Scope and implementation plans depend on data, existing systems and team readiness, and are agreed after discovery.
Before you get started
Who is CapyF for?
For growers, farm operators and teams who need to understand conditions by zone and review irrigation decisions with field context.
What should we prepare for a walkthrough?
Bring the crop, zone layout, available sensors and current irrigation setup. Start with one practical field decision.
How does it fit existing systems?
The conceptual path is sensor → controller → cloud → CapyF → advisor → user. Current product scope includes sensor readings, watering plans, pump commands and linked LINE account interactions. Confirm controller compatibility, field connectivity and command feedback before enabling control at a site.
What are the limits of AI?
AI advice is not a guarantee of crop health or irrigation results. The operator confirms field conditions and remains responsible for action. Automatic and manual pump modes depend on the connected controller and configured settings; AI advice is not a claim of autonomous irrigation.
06 / Your next step
Discuss a farm use case
Bring the crop, zone layout, available sensors and current irrigation setup. Start with one practical field decision.
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