The explanatory framework drives the metrics and measures we should collect and compare.
By working together across multiple farms and with connected spatial datasets like soil, weather and satellite data we can enable real time dynamic benchmarking of performances guided by the context of an individual farm. Easy data collection and exchange with instant insightful analytics enables engagement at scale, maximising the power of data analysis to generate knowledge and hypotheses from the connected data.
The YEN has pioneered the approach to generating and sharing data across a network of farms for common interest.
There are a wide range of sensors and data solutions that can be deployed. Working with Assimila we can generate satellite derived meaningful crop metrics for any land parcel anywhere.
The Yield Enhancement Network (YEN) is a leading example of how farm data can be collected, shared, and interpreted to generate practical insights. By bringing together farmers, advisors, researchers, and industry partners, YEN encourages participants to measure key aspects of their crop performance — from yield components and nutrient use to soil and weather conditions.
Each participant’s data is benchmarked anonymously against others in the network, enabling them to understand not just how their crop performed, but why. The approach combines structured data collection with agronomic interpretation, helping farmers identify yield-limiting factors and opportunities for improvement.
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