SIP3

UAV-Assisted Precision Agriculture for Colorado Potato Beetle Infestation Control

SIP Leader: EV ILVO

Sector: Arable/Potatoes

Country of the pilot: Belgium

Partners involved: EV ILVO (SIP Leader, ADS) / ISP (Farmers and Advisors)

Target group: Farmers and Advisors via cocreation

The Challenge: Combating Pesticide-Resistant Pests in Potato Farming

Potato farming in Belgium is facing increasing challenges due to the Colorado Potato Beetle, a highly destructive pest known for its rapid reproduction and resistance to chemical treatments. Farmers are struggling to maintain healthy crops while controlling infestations efficiently and sustainably. The primary challenges include:

  • Widespread crop damage and yield loss caused by uncontrolled beetle populations, leading to financial strain on farmers.
  • Increasing pesticide resistance, requiring higher doses of chemicals and repeated applications, raising operational costs and environmental concerns.
  • Lack of precision in pest management, where broad-spectrum pesticide spraying results in unnecessary chemical applications over unaffected areas.

How the ADS Works

To address these issues, SIP3 introduces a UAV scouting system, providing real-time detection and targeted pest control solutions. This system revolutionizes pest management by combining high-resolution aerial imaging, artificial intelligence, and precision spraying strategies. As the UAV autonomously flies over potato fields, the system:

  1. Autonomous UAVs survey large potato fields, capturing high-resolution images of crops.
  2. Onboard visual detection models process imagery, identifying Colorado Potato Beetle infestations at different growth stages.
  3. Infestation maps are generated, pinpointing areas with active beetle populations.
  4. Prescription maps are created, guiding precision pesticide application only in affected areas.
  5. Farmers receive actionable insights, enabling targeted interventions while minimizing pesticide use.

This sensor-driven scouting approach reduces the need for manual field inspections, improves the accuracy of pest detection, and optimizes pesticide application efficiency.

ADS Models

This SIP explores two distinct UAV-based ADS models:
  • Cloud-Based ADS: UAVs collect imagery and upload it to a cloud-based processing system, where infestation maps and targeted spraying recommendations are generated.
  • Edge-Based ADS: UAVs process images in real time using onboard visual detection models, allowing for immediate identification of pest hotspots without cloud dependency​.
  • OpenAgri OS Services

    SIP3 is fully integrated with OpenAgri OS services to ensure seamless data analysis and farm management:

    • Weather Data Service: Incorporates real-time and historical climate data to predict infestation risk levels.
    • Pest Management Platform: Centralized database for logging, analyzing, and mapping pest outbreaks, enhancing strategic intervention planning.
    • Digital Farm Calendar: Logs UAV scouting sessions, allowing farmers to track infestation patterns over time and adjust treatments accordingly.

    Real-World Benefits & Impact

    The UAV-powered ADS provides significant advantages to farmers and the agricultural sector by:

    • Increasing scouting efficiency, allowing farmers to detect infestations three times faster than manual inspections.
    • Enhancing farm profitability, as more efficient pest control results in higher yields and lower chemical costs.
    • Supporting environmental sustainability, by significantly minimizing pesticide runoff and protecting beneficial insects.
    • Reducing labor costs, as UAV-based scouting eliminates the need for frequent manual field inspections.
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