AI Use Case
Optimise greenhouse climate environment to maximise production output
Environmental control system for automated greenhouse plant habitats is trained on a dynamic climate model. This then enables it to optimise inputs of energy, moisture and nutrients to maximise plant growth productivity. The need to optimise space utilisation for urban farming helps justify the investment required.
Function
Benefits
Cost - Optimise resource allocation,Cost - Reduced waiting times
Case Studies
SunSelect~SunSelect enables greenhouse farmers to more accurately forecast their future harvests with machine learning
Potential Vendors
Motorleaf
Industry
Basic Materials
Agriculture
Data Sets
Time series,Structured / Semi-structured
AI Technologies
Machine Learning (ML),ML Task - Prediction - Multi-class Classification,Product Type - Vision ,ML Task - Prediction - Regression,Model Architecture - Convolutional Neural Network (CNN),Product - Data Capture - Sensor IoT,Product - Data Capture - Camera,Product Type - Vision - Image classification,ML Task - Action Selection - Reinforcement Learning ,ML Task - Prediction - Annotation,ML Task - Prediction - Binary Classification