TRANSFORMING FARMING INNOVATIONS
With reliable real time data and more details predictions on weather and soil conditions, farmers can plan production and inputs to maximise yield, reduce excess fertiliser and chemical usage, and improve soil management.
Detecting changes in soil quality and moisture level enables farmers and land managers to prevent losses, better manage their natural resources and make longer term predictive changes to plant varieties and farming methods to adapt to changing climatic conditions.
Use Cases
IoT powered devices and sensors allow automatic recording of weather conditions. This improved data gathering and more localised data gathering enables a higher accuracy, precision and flexibility to analyse, predict and report on weather and climatic conditions with reduced human input and reduced cost.
Automated data gathering around soil quality and moisture level enables real time decision making and detection in seasonal and climatic changes as well as better predictive modelling.
Automated data gathering around water flows, water quality, salinity levels and presence of other chemicals enables both detection in seasonal and climatic changes and better predictive modelling.
Data gathering on plant health facilitates crop disease and pest monitoring, detection in seasonal and climatic changes and better predictive modelling.