RAYSAT Irrigation Advisory
RAYSAT connects geospatial, weather and field information to practical irrigation decisions: when to irrigate, how much water to apply, how long to operate the irrigation system, and whether an early warning requires attention.
The Last-Mile Gap
Weather and satellite data become operationally useful when they are connected to crop, soil, irrigation-system and field information and translated into clear actions.
RAYSAT provides this last-mile layer: technical complexity stays in the background while the farmer receives a clear recommendation and can report what happened in the field.
How RAYSAT Works
Scientific calculation remains separate from review, communication and reported implementation.
WaPOR + Sentinel-2 + Open-Meteo + field, crop, soil and irrigation-system data.
Established scientific methodologies supported by academic research estimate irrigation need and quantity.
Inputs and outputs are checked against records, satellite indicators and field evidence.
Approved values are converted into a concise, field-ready message.
Reported implementation and observations return to the field record for follow-up.
Data Sources
Selected WaPOR products support cross-source quality checks, seasonal context, regional monitoring and early-warning functions within defined operational pathways.
WaPOR information is interpreted alongside other evidence and does not act as a standalone field-irrigation trigger.
Remote-sensing indicators support crop-development monitoring and consistency checks against field records and calculated conditions.
They support review and verification rather than automatically replacing the root-zone water balance.
Open-Meteo provides operational weather and forecast data used in water-requirement assessment and early-warning functions.
Scientific Basis
The scientific engine uses established scientific methodologies supported by academic research to assess irrigation timing and quantity using crop, soil, weather, irrigation-system and field-record information.
Where sufficient system information is available, approved irrigation requirements are translated into a practical operating time.
Farmer Outputs
AI-Supported, Human-Approved
AI-supported review helps flag missing or inconsistent information and supports checks against field records, remote-sensing indicators and observations.
The communication layer converts approved outputs into clear farmer-facing language without changing scientific values. Final operational release remains subject to human approval.
Delivery & Feedback
Approved recommendations can be delivered through familiar channels such as WhatsApp or SMS, with farmers able to confirm implementation or report what actually occurred.
Reported implementation and field feedback are linked to follow-up. A recommendation is not treated as implemented merely because it was issued.
Preliminary Evidence
These preliminary results retain their original unit of analysis and do not establish long-term effects on water use, energy use, yield or income.
Among 26 consensus group responses representing approximately 260 participants, 92.3% associated RAYSAT use with reduced guesswork in irrigation decisions.
Tests documented the end-to-end path from recommendation generation and review through farmer-message delivery and follow-up of reported implementation.
Current Status
RAYSAT can complete the field-level workflow from preparation and calculation through review, communication and feedback. The advanced advisory system remains under controlled pilot use while validation and operational integration continue.
The public platform provides general water-requirement information and crop-water estimates. It remains distinct from the advanced field-level advisory workflow, which is not published as an open self-service system.
Contact
RAYSAT welcomes technical exchange, research collaboration, field validation and partnerships in farmer-centered irrigation advisory.