Team Wiss Agronomy - Revolutionising Agronomy with AI-Powered Weather Insights
Craig Wissell
Team Wiss Agronomy
The Challenge is Managing Weather Data Across Multiple Properties
Craig faced several challenges as he worked to deliver precision agronomy services across multiple locations
Integrating Multiple Weather Stations
Craig manages data from DAVIS weather stations connected via Weather Underground and ARABLE weather stations from the U.S. Craig was able to integrate his weather station and custom name his unique microclimates surrounding his weather stations to achieve an optimal and detailed forecast to assist his agronomy decision making and operations.
Spraying Precision
Craig needed an accurate spray conditions forecast, especially to prevent spray drift and maximise efficiency.
Hyper-Local Accuracy
Dissatisfied with traditional forecasting tools, Craig sought a solution that could deliver precision forecasts tailored to the microclimates he operates in.
The Solution is Jane’s Weather PRO
Craig discovered Jane’s Weather PRO through a referral from an agronomist from NSW. Since implementing Jane's Weather PRO - The platform’s ability to integrate weather station data and provide AI-driven hyper-local forecasts specifically for his unique locations has been a game-changer for Craig’s agronomy services.
Key Features Craig Relies On
Seamless Weather Station Integration
By combining Craig's on-site observations with all of the best weather forecast data - Jane's Weather AI Forecast model delivers an ag specific hyper-local weather forecast that is far more accurate than traditional tools that are missing crucial pieces of the puzzle when it comes to Craig's unique microclimates and operations.
Spray Conditions Forecasting
Craig uses Jane’s Weather to plan spraying with precision. Jane's Weather PRO spray forecast not only takes the DeltaT forecast into consideration, but it also takes variables like air temp, winds and precipitation into consideration. Temperature inversions are also in the mix with additional variables like the presence of cloud cover, fog and relative humidity. If there's a chance of an inversion, then spray conditions will display as unsuitable.
Evapotranspiration (eTo) and Irrigation Planning
While some of Craig's weather stations measure eTo, Craig relies on Jane’s Weather’s tailored irrigation forecasts, which factor in hyper-local conditions to improve water management.
Accurate Rain Forecast
Jane’s Weather PRO allows Craig to compare and stack multiple rain model predictions next to the AI Forecast, helping him confidently schedule fieldwork around weather events.
Results are Precision, Efficiency, and Cost Savings
Since adopting Jane’s Weather PRO, Craig has seen measurable improvements in his operations
Enhanced Efficiency
With accurate spraying and irrigation forecasts, Craig has reduced resource wastage and improved operational timelines.
Improved Decision-Making
The AI-enhanced insights allow Craig to make proactive decisions for crop management, ensuring optimal conditions for growth.
Cost Savings
By replacing less accurate tools and reducing the need for rework, Craig has realised significant cost efficiencies in his business.
