WHY Weather
Weather Data Analytics On WHY Crop Monitoring
Weather intelligence is key to thriving agricultural production.
Effortlessly make sense of daily historical weather data and forecasts on EOSDA Crop Monitoring to streamline crop and fieldwork planning, risk management, and resources.
Everything you need
Our agriculture weather solution holds a competitive edge, offering enhanced accuracy and granular insights into climate in your fields, thanks to:
Island-Wide gridded data at a 90x90 meter resolution
Hourly agriculture weather forecasts
Weather analytics based on historical data dating back to 1979
Access to data from ground meteorological stations
Meteorological and vegetation data gathered in one place for deeper insights
A blend of meteorological data from international providers and forecasting models
Ways To Benefit From Our Weather Analytics
Keeping tabs on farm's weather with reliable forecasts eliminates guesswork when it comes to watering crops. By tracking rainfall, temperature, and evapotranspiration rates, field managers can irrigate sustainably: avoid over- or underirrigation, conserve water resources, and prevent water or drought stress in crops.
Natural calamities, such as storms, frosts, and heatwaves hurt agricultural production. Weather apps for farmers prove indispensable, alerting to potential natural risks and enabling on-time damage prevention — reinforcing structures, securing equipment, or adjusting planting dates — to protect infrastructure and crops.
Unfavorable climatic conditions cause stress in crops, making them vulnerable and elevating the risks of yield loss. Accurate meteorological forecasts help predict the emergence of pests, diseases, or weeds and take timely action to minimize crop damage.
WHY Crop Monitoring offers the following types of meteorological observations:
- Temperature
- Precipitation
- Relative humidity
- Evapotranspiration
- Radiation
- Wind speed and direction
- Cloudiness
Historical Weather Data
Probe into years of historical meteorological observations on WHY Crop Monitoring — from 1979 till now — to extract climatic patterns and make informed decisions:
Detect minimum and maximum temperatures in each field over a particular period of time
Identify periods of heat or cold stress in a field
Analyze how meteorological parameters relate to changes in values of vegetation indices
Obtain temperature and precipitation averages over a 5-year period
Agricultural Weather Forecast
Access a 14-day hourly forecast to determine the most favorable time for field activities:
- Schedule irrigation
- Avoid fertilizer and pesticides run-offs
- Determine optimal seeding and harvesting dates
Soil Moisture Analytics
Monitor soil moisture across fields to optimize yields and management strategies:
- Prevent waterlogging and droughts.
- Analyze the relationship between precipitation and soil moisture levels.
Soil moisture monitoring is possible on two depth levels:
- Root zone soil moisture (up to 70 cm deep)
- Surface soil moisture (0-7cm)
Ground Weather Stations
Enhance your weather data analytics by integrating and storing data from your local meteorological stations. While Davis stations are supported, other agricultural weather stations can also be connected by request.
"WHY" Custom Solutions Based On Meteorological Data
Weather analytics is a primary tool we use in our custom solutions.
- Our R&D team crafts algorithms tailored to your needs, from pre-sowing tillage based on soil moisture to creation of temperature-based sowing maps, and much more.
- For example, using a detailed soil model combined with meteorological data, we can analyze soil trafficability — an indicator of field's or forest’s adaptability for vehicle movement.
- In our soil trafficability analysis, we rely on different data: soil type, soil granulometric composition, solar radiation, evaporation, precipitation, meteorological forecasts, expert judgment of our scientists team, and our AI technologies.
- The result is a set of soil trafficability coefficients for different machinery, enabling field owners to strategically plan field activities performed by heavy machinery: sowing, sprinkler irrigation, combine harvesting, and other.