AI Use Case
Construct detailed map of farm characteristics based on aerial image capture
Construct detailed map of farm characteristics based on aerial video or image capture. This can be of assistance for a series of tasks ranging from planning to valuation to deployment of automated farming tools.
Operational Support - Situational awareness,Cost - Optimise geographic footprint
McCain Foods~McCain will test Resson's image recognition algorithms for crop condition monitoring to optimise potato yields and reduce costs,Deveron UAS Corp.~Deveron is a vendor offering technology for crops counting and yield measuring leveraging drones and machine learning,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,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,Stanford University~Researchers at Stanford University aim to detect illegal polluting from farms using a convolutional neural network
Machine Learning (ML),ML Task - Prediction - Multi-class Classification,Product Type - Vision ,Product - Data Capture - Drones Remote Sensing,Product - Data Capture - Plane and Satellite Imagery,ML Task - Prediction - Regression,Model Architecture - Convolutional Neural Network (CNN),Model Architecture - Recurrent Neural Network (RNN),ML Task - Prediction - Annotation,Product Type - Vision - Image classification,ML Task - Prediction - Data Translation/Transformation
Resson,Raptor Maps,Microsoft Azure