AI Cardamom Plant Classification System
An AI-powered plant health and maturity classification system for cardamom farms — detecting disease, growth stage, and harvest readiness using drone imagery and computer vision.
This AI-Integrated Cardamom Plant Classification System helps farmers and plantation managers make data-driven decisions about crop health, disease management, and harvest timing.
Cardamom cultivation is labor-intensive and requires expert knowledge to identify plant health issues early. This system automates monitoring at scale.
Disease Detection & Growth Stage Analysis
Computer vision models analyze drone-captured imagery to detect fungal infections, pest damage, and nutrient deficiencies at the individual plant level.
Growth stage classification helps farmers plan fertilization, irrigation, and harvesting activities with precision.
Harvest Readiness & Yield Prediction
The system predicts harvest readiness dates and estimated yield per plot, enabling better resource planning and market timing.
Field maps with plant-level health overlays give agronomists actionable insights for targeted interventions.