Digitization of Weiss Aiand irrigation processes through artificial intelligence to reduce resource use
Research Leader
Research Team
Duration
2023-2026
Research Field
Prevalence of tomato diseases in covered areas. Their pathogens
Sustainable use of plant protection products
The latest technological solutions in agriculture
Technological solutions
Project description
The aim of research
The aim of the project is to develop a digital solution for which more detailed irrigation recommendations will be shared based on real-time data and artificial intelligence (AI).
The tasks of project:
- To develop the concept of a data model through data analysis and mapping of the latest research, to then collect the necessary data from the growing environment from which a machine learning model will be developed to provide the grower with accurate irrigation recommendations.
- To create a software application that will collect information from greenhouse sensors and analyze it through the use of data monitoring and machine learning techniques.
- To focus on conducting a pilot test of the connection between the theoretical model and the machine learning and data analysis software application.
Project partners
Weiss Aiand Ltd. (Osaühing Weiss Aiand)
