If Data is the latest "HOT" asset – then Data Science is the Key to Unlock it
Smart Agriculture uses Predictive Analytics to provide important Forecasts on - Production/ Yield/Area of crops and forewarning on incidence of crop pests and disease/environmental changes e.g climate change
Understand, Analyze and Monitor Demand for specific Agricultural Products. Track and Trace Movement and Exports of Agricultural Produce to understand important End User Needs and Purchasing Patterns
Advanced Analytics for making sense of Field Data available. Leveraging technological innovations for better Agricultural surveying, Livestock and equipment tracking e.g soil moisture monitoring.
Identification, Evaluation and Prioritization of risks to enable farmers to make effective decisions to mitigate for any potential Crop Failures, Pests, Extreme Weather Patterns, etc.
Agricultural practices and institutions
Governmental Departments of Agriculture