Optimising limited resources in challenging seasons episode artwork

EPISODE · Mar 31, 2026 · 27 MIN

Optimising limited resources in challenging seasons

from Dry Season Resources

Input constraints are a challenge, not just currently in 2026, but also off the back of dry seasons when financial constraints can dominate decision making. In both contexts, smart allocation can make a real difference to whole of farm performance.In this episode, cropping farmer Dylan Hirsch from Latham WA and CSIRO research scientist Roger Lawes discuss practical strategies for making the most of limited inputs, with a strong focus on the highest input cost of nitrogen.They discuss how ranking paddocks by yield potential using historical data and remote sensing can help target limited inputs, while also considering how growers can adjust crop and rotation decisions when conditions or supply constraints change.Roger then shares insights from the national Grain Automate project, including a new calculator tool to help evaluate precision spraying investments.The conversation highlights the role of farm data in decision making to effectively optimise a constrained resource.This episode is brought to you by the South-West WA Drought Resilience Adoption and Innovation Hub and is hosted by Doug Hamilton.Grain Automate Economic Model Calculator - Grain Automate - GRDC & CSIROSpray Program Calculator - GRDC & CSIROGrain Automate - GRDCHub news - Drought Hub

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Optimising limited resources in challenging seasons

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How long is this episode of Dry Season Resources?

This episode is 27 minutes long.

When was this Dry Season Resources episode published?

This episode was published on March 31, 2026.

What is this episode about?

Input constraints are a challenge, not just currently in 2026, but also off the back of dry seasons when financial constraints can dominate decision making. In both contexts, smart allocation can make a real difference to whole of farm...

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