Vineyard Leaf Disease Prediction: Bridging the Gap between Predictive Accuracy and Interpretability

Abstract

This study is a part of "VIPA-DELF" sub-project and has indirectly received funding from the European Union's Horizon Europe research and innovation action programme, via the CHAMELEON Open Call#1 issued and executed under the CHAMELEON project (Grant Agreement no. 101060529). This study is also supported in part by the Curricula Development and Capacity Building in Applied Computer Science for Pakistani Higher Education Institutions (CONNECT), Project number: NORPART-2021/10502, funded by DIKU. The technical work done in this study has benefited from the Experimental Infrastructure for Exploration of Exascale Computing (eX3), which is financially supported by the Research Council of Norway under contract 270053.

Vineyard Leaf Disease Prediction: Bridging the Gap between Predictive Accuracy and Interpretability