Disease hotspot identification and precision treatment
Disease pressure rarely develops evenly across a field. Drone-based precision agriculture provides a practical way to identify disease risk early and apply treatment only where it is required, reducing chemical use while protecting crop health and yield.
This project demonstrates how multispectral surveys can be used to detect disease-related stress patterns and guide targeted crop protection spraying. The focus is on practical disease management that replaces blanket applications with data-led, zone-based treatment.
The situation
Crop diseases often establish in specific areas of a field due to localised factors such as soil moisture, compaction, drainage, canopy density, and microclimate. These conditions create hotspots where disease pressure develops earlier or more aggressively than in surrounding areas.
Traditional disease management strategies typically rely on whole-field spraying at set timings. While effective in protecting crops, this approach assumes uniform risk across the field and often results in unnecessary chemical application in areas where disease pressure is low or absent. This increases costs and chemical load without delivering additional benefit.
Without a clear understanding of where disease pressure is developing, it is difficult to balance effective crop protection with efficient input use. Visual inspection alone can miss early-stage disease development, particularly in large fields, leading to delayed intervention or over-application as a precaution.
Objectives of the Project
- To identify early signs of disease-related crop stress using multispectral aerial data
- To locate disease hotspots accurately across entire fields
- To support targeted crop protection treatment rather than blanket spraying
- To reduce unnecessary chemical usage while maintaining crop protection
- To improve timing and accuracy of disease interventions
Benefit of Services
These projects are written as practical examples rather than client case studies. They are intended to help farmers understand how drone services translate into real on-farm outcomes across a range of crops and conditions. Each project focuses on a common agronomic or operational challenge, the drone-based approach used to address it, and the types of outputs a farm can expect to receive.
Where figures are referenced, they reflect typical commercial outcomes seen in precision agriculture programmes, such as reduced fertiliser and chemical usage, improved crop uniformity, fewer passes across fields, and better timing of interventions.
The goal is to provide clear, actionable insight that can be applied to your own fields, without requiring specialist technical knowledge to interpret the results.
