Forecasting agricultural productivity to improve agricultural supply chains

Agriculture Simulations makes use of Earth observation (EO) data to solve challenges for agricultural planning, harvesting, logistics and long-term food systems resilience in a changing climate. It gives dynamic insight into complex human and natural systems by combining computational simulations and both open and commercial EO data – with optical EO being the main data source. Through combining advanced data analytics with standard EO products Agriculture Simulations can predict future yield, help optimise dynamic resource allocation to increase yield capture and value as well as first-mile logistics and operations, and ensure an improved understanding of where and when to allocate capital. The product enables both short-term operational and long-term strategic decision-making by actors in the food chain – from independent farmers wanting to know where to harvest, to large traders needing to know who to buy sustainable produce from and governments and NGOs looking to optimise strategic infrastructure investments.