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Crop Health & Irrigation Detection via Drones
Computer Vision

Crop Health & Irrigation Detection via Drones

August 2023
AgriTech Innovations
Duration:12 months

Overview

Deployed hyperspectral imaging on Jetson Nano edge models to assess crop health and moisture.

This agricultural technology solution uses drone-mounted hyperspectral cameras to capture detailed information about crop health, pest infestations, and irrigation needs across large farmlands.

The system processes multispectral data on Jetson Nano edge devices mounted on the drones, providing real-time analysis without requiring continuous connectivity.

Farmers receive actionable insights through a mobile application, allowing for targeted interventions that reduce resource usage while maximizing crop yields.

Technologies

PyTorchNVIDIA JetsonTensorRTPythonHyperspectral ImagingReact NativeGIS

Key Features

  • Real-time crop health assessment
  • Irrigation efficiency mapping
  • Early pest and disease detection
  • Yield prediction modeling
  • Automated flight path planning
  • Historical data comparison
  • Prescription map generation for variable rate applications

Challenges & Solutions

Processing Hyperspectral Data on Edge

Developed a custom compression algorithm that preserves critical spectral bands while reducing data size by 85%.

Environmental Variable Normalization

Implemented an adaptive calibration system that accounts for lighting conditions, time of day, and seasonal variations.

Drone Flight Time Limitations

Optimized the data collection and processing pipeline to complete analysis within the drone's battery life, with intelligent resumption capabilities.

Client Feedback

"This drone system identified irrigation issues and early disease signs that would have cost us thousands in lost crops. The ROI was evident within the first season of use."

Robert Mendez

Robert Mendez

Operations Manager, Heartland Farms

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