Poor farming practices lead to a considerable decline in the quality of soil. Rehabilitation efforts may be inconsistent, costly, or ineffective.
Goals and Objectives
Automated data collection and analysis facilitate more focused and consistent progress to rehabilitation at the lowest cost and minimum time.
Sensors, communications networking, autonomous drones, AI, Big Data, and modelling
Use Case Summary
Strategically plan for land usage and rehabilitation by using geospatial and agronomic data. This will provide consistent, proactive management of these activities more efficiently and will allow the farm to accurately report its compliance certification programs.