The lifecycle of Precision Agriculture data begins the moment that the measurement is taken, after which it may pass through each multiple data processes until finally arriving as an output employed back in the production system. This flow can be hindered by the fact that many farm datasets have different spatial resolutions. This makes the process to aggregate or analyse multiple Precision Agriculture layers arduous and time consuming. 

Precision Decisions Ltd located in Yorkshire, U.K.  together with Newcastle University, and co-funded by Innovate UK, formed a Knowledge Transfer Partnership (KTP) project to research and find the best way to provide effective high-level decision services to farmers and growers with guidance, e.g. on yield optimisation, that critically will be straightforward for growers to use. The service will correctly process spatial agronomic data and then condense these layers into a single surface upon which agronomic decisions can be made. 

This project develops data frameworks which creates agronomic information layers from a farms data and stores it as Geographic Grids ready to be processed and transformed into the required spatial resolution. Once the datasets are aligned, multiple layers can be condense into a single surface (analytic or aggregated layer), enabling the application of different types of operations and calculations to derive spatial agronomic outputs (e.g. prescription maps). 

The accompanying poster will display the cycle and processes of the data and how Precision Decisions’ software frameworks process the data and output Precision Agriculture layers as maps or analytic layers for the clients. It will also illustrate the mode of development that balances academic knowledge with the company’s (and grower’s) requirements for commercial services.