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

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

Potential Vendors

Motorleaf