Computer Vision in Agriculture: Precision Farming with AI

India's agricultural sector is undergoing a quiet revolution. Drone-mounted cameras combined with computer vision models are helping farmers make data-driven decisions about when and where to harvest.

The Problem

Traditional crop assessment relies on manual inspection, which is time-consuming, inconsistent, and expensive at scale.

The Solution: YOLOv8 on Drone Imagery

Our models are trained on thousands of annotated field images to detect crop maturity, pest damage, and irrigation stress. Each inference run produces a geo-tagged map of harvest-ready zones within minutes.

Results

Early pilots with partner farms in Uttarakhand showed a 20% reduction in post-harvest losses and a 15% improvement in yield estimation accuracy.