Agriculture6 weeks
Precision Agri-Intelligence for Yield Optimization
Client: GreenAcres Agro
Analyze multispectral imagery to monitor crop health, predict yields, and prescribe resources.
The Challenge
GreenAcres Agro needed to maximize crop yield and minimize resource use (water, fertilizer) by providing per-field, per-crop actionable insights. The challenge was to analyze multispectral imagery to monitor crop health, predict yields, and prescribe precise irrigation and fertilization plans.
Key Challenges:
- Maximize crop yield while minimizing water and fertilizer usage
- Provide per-field, per-crop actionable insights
- Monitor crop health and predict yields accurately
- Prescribe precise irrigation and fertilization plans
Without precision agriculture, the company faced inefficient resource usage, lower yields, increased costs, and environmental impact.
Our Solution
- AI platform analyzing multispectral drone and satellite imagery
- Crop health monitoring identifying stress and disease early
- Yield prediction models forecasting harvest quantities
- Precise irrigation plans optimizing water usage
- Fertilization prescriptions minimizing fertilizer waste
- Geospatial analysis providing field-level insights
Technology Stack
U-NetTensorFlowScikit-learnGeospatial AnalysisDrone APIs
Client Testimonial
"Boosted yield by 20% and reduced resources by 25%, proving sustainability scales."
— Farm Operations Manager, GreenAcres Agro