Precision Agriculture via Aerial Crop Monitoring
Client
AgriVision Tech
Industry
Agriculture
Impact Deliverables
4 Key Results
Status
Delivered
The Challenge
AgriVision needed to train models to identify crop disease and pest infestations from high-resolution drone imagery. The data was massive, and the subtle visual cues of early disease required highly trained eyes to annotate accurately.
Loopernode's Solution
We trained a dedicated team on agronomist guidelines to identify specific blights and pests. Using high-resolution polygon segmentation, the team meticulously labeled thousands of acres of drone imagery, identifying healthy versus distressed foliage.
Key Business Results
Quantifiable breakthroughs achieved through Loopernode's dedicated data engineering pipeline.
Segmented over 50,000 high-resolution aerial images.
Identified 12 distinct crop diseases with 98% accuracy.
Enabled client's models to detect distress 2 weeks earlier than human scouts.
Supported precision pesticide application, reducing chemical use by 20%.
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