Winner of the EOSC DIH Tender for the purchase of software services for image analysis in phenological research with implementation, licensing, support and maintenance
Among the expressions of interest received, EOSC DIH selected the proposal provided by Poznań University of Life Sciences (PULS), Poland. PULS is looking for an IT tool to facilitate image acquisition management, image storage, and image analysis, using Machine Learning methods. Currently, scientists have to use separate IT tools for each of these stages, and the proposed solution will be characterised by flexibility allowing to extend the utilitarian potential of this tool in the directions of further environmental research (e.g. landscape analysis), agricultural research (e.g. crop yield forecasting), or IT research (e.g. AI).
In conclusion of the tendering process, the tender has been awarded to Seth Software spółka z ograniczoną odpowiedzialnością (SETH).
As a result, SETH has developed AI4Pheno, according to the the technical requirements specified in the documentation.
As a result, SETH has now released a user manual, designed to provide users with a comprehensive under-standing of the functionalities and features of the EOSC Digital Innovation Hub Web Application which can be accessed at the following URL: https://ai4pheno.seth.software. The document aims to guide users step-by-step through the application, ensuring they can efficiently utilize its features and address any challenges encountered. Additionally, this manual serves as a go-to reference for troubleshooting, best practices, and frequently asked
questions about the platform.