CropYield Predictor
Utilizing drone imagery and computer vision, this tool analyzes crop health across thousands of acres to predict harvest yields.
Project Details
A full breakdown of the features and modules delivered as part of this project.
Category
AgriTech
Year
2022
Duration
10 Months
Stack Size
6 Technologies
Key Features
6 ModulesAutomated drone imagery ingestion pipeline processing multispectral aerial photography.
Computer vision models detecting blight, water stress, and nutrient deficiency per field zone.
Interactive Mapbox field health heatmaps showing crop condition down to square-meter level.
Harvest yield prediction with 30-day advance forecasting and confidence intervals.
Prescription map generation for precision irrigation and targeted pesticide application zones.
Historical season comparison reports for agronomists and farm decision-makers.
Key Results & Impact
Measurable business outcomes delivered through this project.
Achieved 96% accuracy in yield prediction a full month before harvest.
Reduced unnecessary pesticide application by 25% via targeted spraying zones.
Saved an estimated 40,000 gallons of water through precision irrigation insights.
Cut manual field scouting time by 80%.