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UAV Study

Universitatea Aurel Vlaicu din Arad, Romania

UAV-basedmultispectralimagingforprecisionagriculturedecisionsupportsystemdevelopment
Study Overview

Drone-Based Crop Monitoring

Universitatea Aurel Vlaicu din Arad leads WP2: Research, Analysis and Evaluation. The university conducts lab determinations (phytohormones, polyphenols, enzyme activities, antioxidant capacity, photosynthetic parameters, chlorophyll content), calibrates remote sensing data with ground truth, and collaborates with Çukurova University to optimize the decision-making system based on field data.

Using multispectral imaging, we capture detailed information about crop health, stress levels, and nutrient status. This data feeds into the project's AI models for generating actionable recommendations for farmers.

UAV flight over experimental field
Setup

Infrastructure Preparation

Equipment and resources deployed for the UAV study.

UAV Platform

DJI Phantom 4 Multispectral drone equipped with 5-band multispectral camera for vegetation analysis.

Ground Control Points

High-precision GCPs placed across experimental plots for accurate georeferencing.

Weather Station

On-site weather monitoring for recording environmental conditions during flights.

Processing Workstation

High-performance computing resources for orthomosaic generation and AI model training.

Variables

Experiment Design

Key variables analyzed through UAV-based multispectral imaging.

Temperature Monitoring

Thermal imaging to detect plant stress and water status variations across plots.

  • Canopy temperature mapping
  • Stress detection algorithms
  • Thermal anomaly identification

Nitrogen Response

Analysis of crop response to different nitrogen application rates using NDVI and other indices.

  • NDVI calculation
  • Chlorophyll estimation
  • Nitrogen uptake modeling

Water Stress Detection

Identification of irrigation needs through multispectral analysis of crop water status.

  • CWSI calculation
  • Soil moisture correlation
  • Irrigation recommendations
Validation

Lab Integration

Ground-truth data collection and laboratory analysis to validate remote sensing measurements.

  • Phytohormones and polyphenols analysis (biological evidence)
  • Enzyme activities measurement
  • Antioxidant capacity testing
  • Photosynthetic parameters and chlorophyll content for Software 2 decision logic
UAV flight over experimental field
Aerial view of plots
Data processing session
Ground control point setup
Considerations

Limitations

Challenges and constraints encountered during the UAV study.

Weather Dependencies

Drone flights restricted during windy conditions (>8 m/s) and precipitation events.

Regulatory Constraints

Flight operations limited by local aviation regulations and airspace restrictions.

Data Volume

High-resolution multispectral imagery generates large datasets requiring significant storage.

Temporal Resolution

Cloud cover and weather windows limit flight frequency during critical growth stages.

Explore Related Studies

Learn about our experimental field trials conducted at Çukurova University.