Description
Construct detailed map of farm characteristics based on aerial image capture
Benefits & ROI
0.1
Linked Case Studies
Case Study
Dancing Crow Farm
Farmers are able to quickly identify issues such as crop stress and disease and pest infestation on heatmaps enabled by drones and machine learning
Case Study
University of California Merced
Researchers at UC Merced train algorithm to create ground-level images from satellite pictures outperforming conventional interpolation method used for classifying land
Case Study
Stanford University
Researchers at Stanford University aim to detect illegal polluting from farms using a convolutional neural network
Case Study
Deveron UAS Corp.
Deveron is a vendor offering technology for crops counting and yield measuring leveraging drones and machine learning
Case Study
McCain Foods
McCain will test Resson''s image recognition algorithms for crop condition monitoring to optimise potato yields and reduce costs
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Source: mckinsey.com · Editor: original-sdg