CLIMORA

ENGINEERING & APPLIED INTELLIGENCE

SOLUTIONS

From field station to cloud model: proprietary development in sensors, software and AI to monitor climate, anticipate risks and support decisions in agriculture, safety and health.

Wind intelligence for field operations

Wind roses, gusts and hourly profiles from each station turned into management, safety and energy decisions.

  • Hour-by-hour spray window: wind, ΔT, temperature and humidity — less drift and no spraying during temperature inversions.
  • Gust alerts for field operations, agricultural aviation and lodging risk.
  • Windbreak studies and on-farm wind energy assessment.

ET0 and crop irrigation recommendations

Reference evapotranspiration (FAO-56 Penman-Monteith) computed hourly from station data and adjusted by crop and growth stage (Kc).

  • Daily water use per field (ETc) for soybean, corn, beans, coffee and sugarcane.
  • Soil water balance and irrigation depth with pivot run time and volume.
  • Rain forecast integration so you don’t irrigate right before it rains.

Low-cost autonomous weather stations

Proprietary hardware and firmware, designed for field installation with reduced cost per point and continuous operation without reliance on expensive infrastructure.

  • Autonomous design: integrated energy, communication and telemetry.
  • Climora's own network — design, deployment and scale-oriented maintenance.

AI models for climate data

Networks and pipelines trained to work with real data: gaps, noise and multiple sources.

  • Series completion and assisted homogenization.
  • Variable virtualization where no physical station exists.
  • Forecasting and scenarios in horizons aligned with alerts and operations.

Ultrasonic wind sensor (in development)

Wind measurement without moving parts, focused on durability in harsh environments and reduced need for field calibration.

  • Active R&D: prototypes, testing and integration with our stack.

Custom sensors for each context

Development of sensor chains and acquisition when the standard catalogue does not cover the problem — from precision agriculture to urban microclimates.

  • Joint specification with the client and validation under real conditions.

Climate analytics for crops

Indicators and operational windows for agricultural decisions: water and thermal stress, phenology and exposure to extremes.

  • Translation of raw data into actionable insights by crop and region.

Risk, disasters and health

Analytical layers for disaster prevention, emergency management and climate-linked public health support.

  • Risk indices, alerts and communication with institutions and operators.
  • Link between climate exposure (e.g. heat waves) and population vulnerability.