How we generate insights
Our Process:
1. Data Collection
Our journey to insights starts on farm. We deploy cutting-edge sensors on the farm to gather real-time data on agronomy, climatic conditions and water quality. This rich dataset forms the foundation of our insight generation process.
2. Data Processing and Information Generation
Transforming raw data into meaningful information, our systems capture and collate each datapoint, which is then transferred back to us in near real-time for further analysis. Through this process, we set the stage for deeper analysis and understanding.
3. Analysis and Insight Generation
With a foundation of solid information, we employ analytics and models to understand the complex interplay between farming practices and their water quality impacts. Here, we transform information into agronomic insights, which can be used by farmers and their advisors to identify sustainable practices that maintain profitability while minimising environmental impacts.
4. Knowledge Application and Communication
Our insights identify actionable strategies that have been identified through experimentation. Those insights are presented on the insights page.
5. Feedback Loop for Continuous Improvement
We are always looking to improve how we collect data, how we translate data to insights and how we communicate those insights to you. By continuously improving we hope to not only communicate scientific insights effectively but also empower stakeholders with the knowledge to make informed decisions for sustainable agriculture.
Our Experimental Design
The experiments that we are currently running are designed to test novel fertilisation strategies and and other agronomic interventions as well as improving our understanding of nutrient losses in 2 important production systems, sugarcane and bananas.
Novel Fertiliser trials – Silkwood
- At Silkwood, we are conducting a trial to investigate whether applying mill mud to sugarcane can lead to reduced nitrogen fertiliser application. Our trial is designed to not only provide evidence of the agronomic benefit (crop yield) but also to understand if mill mud has a potential to reduce nutrient losses in water as well.
Agronomic interventions – Lower Tully
- At Lower Tully we are investigating the nitrogen dynamics of a legume fallow and to understand if reducing nitrogen fertiliser after the legume fallow leads to reduced nitrate runoff.
Understanding nutrient losses – East Palmerston
- At East Palmerston we are measuring nitrogen and crop dynamics on a banana farm. Nitrogen fertilising at banana farms occurs regularly through the year via fertigation, and we are measuring nitrogen losses and gaining insights to how nitrogen losses are related to fertigation timing and climate conditions