Jane’s Weather combines the best global weather models with unique observations from your site.

We provide customised weather forecasts and insights, enhanced by AI to be specific to your operations.

Our hyper local projections are more accurate, more often, helping Australians unlock productivity and drive efficiency.

Jane’s Weather:

1. uses more sophisticated modelling techniques than those previously available in Australia
2. learns from localised data from on-site weather station information, specific to your operations
3. updates to changing conditions more frequently using predictive analytics from Artificial Intelligence (AI) and Machine Learning (ML)
4. produces forecasts and insights tailored to your location and business.

Our forecasting process learns from the unique conditions at your site to produce hyper local projections, enhanced by AI to be specific to your operations.

We service our agricultural customers through partnerships with established weather station providers (including Origo, Metos, Wildeye and more) making it easy to turn your observational hardware into a site specific forecasting machine.

Jane’s Weather also provides our unique forecasts and insights via API to enhance and work with other platforms and agricultural tools.

• Greater accuracy in forecasting, optimised for Australian conditions
• Full features on the go for effective planning of resources - on farm decisions are fuelled by our insights
• Access to trusted and qualified expertise from an Australian meteorologist

Improve planning and management of farming operations to maximise yield, quality and returns, while mitigating risks from changeable weather:

• Identify ideal spraying windows, to maximise treatment and reduce the risk of adverse chemical losses
• Determine the optimal fungicide or fertiliser timing by monitoring growth stage predictions and keeping track of thermal input to your crop (growing degree days)
• Increase accuracy of frost prediction in different zones of your farm - get on the front foot before it strikes
• Prioritise sowing orders with the convenience of hyper local rain forecasting
• Have confidence in urea spreading decisions and reduce nitrogen losses
• Improve logistics planning at harvest to maximise yield
• Better manage available water resources and evapotranspiration