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Smart Farming with UAV Imagery and AI for Cowpea and Tomato Fields
Project type
Computer Vision
Date
2021
Location
Davis, CA
We harness the power of computer vision to transform how farmers monitor, manage, and optimize their crops. Using UAV imagery, AI algorithms, and advanced image analysis, we turn raw field data into actionable insights — fast, accurately, and cost-effectively.
•Crop Health Monitoring: Detect nutrient deficiencies, disease symptoms, or stress patterns using multispectral and thermal imagery.
•Weed and Pest Detection: Automatically identify weed patches or pest-infested zones for precise treatment.
•Canopy and Coverage Analysis: Measure vegetative cover, canopy size, and density over time to assess crop vigor.
•Phenotyping & Yield Estimation: Track plant development and estimate yield with visual data and AI models.
•Irrigation Analysis: Combine thermal imaging with pattern recognition to identify water-stressed areas at pixel-level resolution.





