Smart Agriculture Crop Monitoring with Drones

Tags
Computer Vision, IoT, Agriculture, Drone Technology, NDVI, OpenCV, Precision Farming, Sustainability, Remote Sensing
Solutions
1
Published
2025-07-07

Problem

IoT and computer vision system using drone imagery to monitor crop health, detect diseases early, and optimize irrigation. Increases crop yield by 25% while reducing water usage by 40%.

Solutions

  • Drone-Based Crop Health Monitoring System (OpenCV, NDVI, Drone SDK, Python, GIS, Machine Learning) – Computer vision system using multispectral imaging and NDVI analysis to detect crop diseases, nutrient deficiencies, and optimize irrigation patterns.

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