📈 Optimisation Data

Optimisation data is collected over time and analysed to make the system faster, cheaper, or more efficient. It answers: "How can we make this work better?"

📖 Real Optimisation Examples

System	Data Collected	Optimisation Result
Warehouse robot	Travel paths and time per delivery	Rerouted paths → 18% faster deliveries
Solar farm	Energy output vs panel angle per hour	Adjusted tilt timing → 12% more energy
Drone delivery	Battery drain at different speeds	Found optimal speed → 22% longer range
Factory arm	Cycle time per task, idle time	Eliminated pauses → 30% more parts per hour

📰 Case Study: John Deere Precision Agriculture

John Deere tractors collect gigabytes of data per day: GPS position (centimetre accuracy), soil moisture readings, seed drop counts, fuel consumption per hectare, and yield weight at harvest. This data is uploaded to the cloud and analysed. Farmers can see exactly which areas of a field produced less grain and why — perhaps the soil was too dry, or seeds were planted too deep. The next season, the tractor automatically adjusts planting depth and fertiliser amounts for each 1-metre strip of field. This data-driven optimisation increases crop yields by 10–15% while reducing fertiliser waste by up to 20%.