Develop

and offer an AI-based digital phenotyping workflow using low-cost drones. for accurate, large-scale SBR assessment.

Ensure

a user-oriented design of the AI-based digital phenotyping workflow.

Validate

and develop the AI-Model considering the AI-Model KPIs.

Prepare

the launch of the drone based SBR phenotyping service in 2025 for both field trials and crop production.

BeetCraft-AID by PHENO-INSPECT

BeetCraft-AID enables Agronomic Scouting at Scale. Provides Full Automation at High Quality at High Scale. Supporting Beet Cultivation Research with AI and Flight Technology for Disease (SBR) Management. BeetCraft-AID offers digital phenotyping for SBR assessement.

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Plant-Analyzer is the digital command center for image-based crop monitoring, weed management, and trial evaluation. It transforms images into decisions – quickly, automatically, and without the need for custom hardware or manual data handling. Use drone, satellite, or machine-mounted imagery to generate actionable insights and application maps in just a few clicks. Whether you're scouting a 1000-hectare field or evaluating plots in a breeding trial, Plant-Analyzer empowers you to work smarter, faster, and more precisely.

DJI Mavic3E

  • High-Resolution RGB Data from Field Trials and Sugar Beet Fields 
  • Computer Vision & AI for Digital Phenotyping and Crop Monitoring

Outcomes

  1. Protocol 1: Mapping Mission 4mm GSD Seems Suitable
  2. Protocol 2: Direct Georeferencing Mission @ 1mm GSD Better
  3. Scoring Cercospora, Yellowing, Browning, and Sleeping Beets
  4. AI - scoring vs manual scoring gave good correlation results (R² = 0,61)

Challenges Faced

The ‘Syndrome of basses richesses’ (SBR) poses a considerable challenge in Central European sugar beet fields, resulting in economic losses estimated at around €128 million due to reduced sugar yield by up to 5%.

Impact (Socio-economic & Environmental)

  • Repeat Field Trials
  • Demonstrators in Crop Production
  • Involve sugar producers and Bio-tech companies with SBR monitoring in European Sugar Beet Fields
  • Formulate technical USPs of AI-based SBR assessment using low-cost drones and Pheno-Inspects web-based processing service.