aWhere creates insightful agronomic models powered by the in-time weather data to deliver actionable solutions.
These agronomic models build on weather data to provide insightful direction for pre-season and in-season decisions. Our Agriculture Intelligence platform is designed to understand and track what’s happening at each field, making the weather and model data meaningful so farmers can make more profitable decisions. See what’s different about our approach to big data in Ag
Advances Analytics for Decision Support
Six different insight domains can provide tactical management recommendations for strategic decisions to deliver Economic Resilience to Climate Change.
Pest & Disease Prediction
Where are pests and plant diseases occurring?
Stay ahead of pests and disease outbreaks by using scientifically validated modeling and real-time alerts to protect your crop and ensure safe consumption of food in your area of interest.
Early Warning of pest and disease outbreaks are actionable insights in advance of economic damage occurring and critical for preventing consumption of contaminated food.
Product Suitability & Site Similarity
Where can a specific variety of a crop grow well? Where else in the world can I find the same climatic conditions as my farm, to access new technologies to increase my farm profitability?
These insights help answer the question “Where else can my new early maturing maize variety developed at Ibadan Nigeria grow?” Site similarity analytics enables aWhere to determine where a specific variety or weather-sensitive interventions will be suitable based on its performance in a specific location and season.
This becomes extremely powerful in our current age of climate change and increased weather variability as we adapt food systems by moving suitable technologies in a targeted manner to sustain agriculture productivity and reduce risks for farmers.
aWhere can do this at a scale for a wide range environments
Environmental Trend Analysis
How is the climate changing in my area of interest?
Environmental trend analyses enable governments, the agri-food sector and farmers to paln for shifts in weather patterns which supports climate change adaptation and builds resilience.
Drawing on 12+ years of localized observed global weather data, aWhere’s data science identifies trends and shifts in weather patterns for your area or ecology of interest. This informs a wide range of decisions from what crop and when to plant to infrastructure investments. Adapting to climate change requires localized understanding of how the weather is changing.
Optimal Planting Date & Fertilizer Recommendations
When should I plant this season? What is the best time to apply fertilizer?
The timing of key farm operations like planting, fertilizing, and pest control measures are impacted by weather and a higher return on these operations is realized with weather insights. Optimal planting and fertilizer recommendations optimize critical resources for smallholder farmers.
Food Security & Early Famine Warning
How is weather variability impacting the food supply? Is there a risk of famine?
Weather alerts for timely responses can save valuable time in preserving lives, property and crops; aWhere brings agricultural forecasts to a resolution that is actionable for farmers and ground operations (famine relief) for areas impacted by weather.
Long before famine strikes, aWhere’s weather analytics can provide an early signal to where famine will be most acute as well as the number of people impacted to determine where food production will be in surplus to respond to this need.
Our 9 km grid over time enables us to see emerging food shortages based on accumulated rainfall at a local level across entire countries.
How is the water supply impacted by weather variability?
Make your irrigation practices more efficient to conserve water and save money.
Global observed weather enables irrigation and fertilizer operations to optimize timing and rates that in turn generate a higher rate of return for farmers. Our potential evapotranspiration surfaces offer commercial providers the signal to manage water applications in real-time while our historical time-series, along with precipitation, enables market assessment to manage production and inventory for future irrigation infrastructure.
Detailed elevation models can provide the foundation for hydrologic planning such as “Where can surface runoff be captured for irrigation or to support groundwater recharge?”