AI Use Case
Predict farming yields from data sets including site images and IoT sensor scans
Predict yield for farming or production leveraging IoT sensor and other relevant data. This can work for both plant and animal yield and should also help with planning responses to disappointing predictions,.
Function
Benefits
Operational Support - Production forecasting,Operational Support - Situational awareness
Case Studies
"""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",Connecterra~Connecterra increases dairy production by as much as 30% by tracking and analysing the health of cows with machine learning,Slantrange~Slantrange aims at measuring crop populations and detecting weeds with machine vision,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,TellusLabs~TellusLabs aims at providing accurate prediction of natural resources and agricultural yields with machine learning ,SunSelect~SunSelect enables greenhouse farmers to more accurately forecast their future harvests with machine learning,Small Robot Company ~Small Robot Company is a vendor which hopes to deploy robots to reduce chemicals and emissions while increasing farm profitability
Potential Vendors
Microsoft Azure,TellusLabs,Motorleaf
Industry
Basic Materials
Agriculture
Data Sets
Images,Time series
AI Technologies
Machine Learning (ML),ML Task - Prediction - Multi-class Classification,Product - Data Capture - Drones Remote Sensing,Product - Data Capture - Plane and Satellite Imagery,ML Task - Prediction - Regression,Model Architecture - Convolutional Neural Network (CNN),Product - Data Capture - Sensor IoT,Product - Data Capture - Bio Sensor,Product Type - Vision - Image classification