Description
Predict farming yields from data sets including site images and IoT sensor scans
Benefits & ROI
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
SunSelect
SunSelect enables greenhouse farmers to more accurately forecast their future harvests with machine learning
Case Study
Connecterra
Connecterra increases dairy production by as much as 30% by tracking and analysing the health of cows with machine learning
Case Study
Slantrange
Slantrange aims at measuring crop populations and detecting weeds with machine vision
Case Study
Small Robot Company
Small Robot Company is a vendor which hopes to deploy robots to reduce chemicals and emissions while increasing farm profitability
Case Study
"US Department of Natural Resources and Environmental Sciences at the University of Illinois,"
The US Department of Natural Resources used deep learning vision analysis of satellite imagery to predict the size of soya and corn crops well before harvesting
Case Study
TellusLabs
TellusLabs aims at providing accurate prediction of natural resources and agricultural yields with machine learning
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Source: mckinsey.com · Editor: original-sdg