InteLLigence
 
PISMA: Automating Pistachio Canopy Temperature Identification: A Machine Learning Approach

Contract Details
Programme Type: OTHER RESEARCH-RELATED PROGRAMMES
Programme Acronym:
Contract Type: SERVICE CONTRACTS
Contract No:
Start Date: 2020-01-01
End Date: 2021-03-30
Project Status: completed
Budget for TUC: N/A
Role for TUC:
Principal Investigator for TUC: Georgios Chalkiadakis
Project Description
Precision irrigation scheduling is a vital farm water conservation practice and considers a challenging decision-making problem that determines when and how much to irrigate. The process is copious and error-prone. Its automation considers a valuable step towards sustainable water conservation practices. This project aims to develop an intelligent method and a corresponding online tool to support such decision-making in pistachio plants. To this end, it focuses on image recognition and machine learning techniques to determine the plant canopy temperature and, subsequently the irrigation requirements. We aim the tool to be used by the scientific community and the wider public.