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Replication Data for: A Bayesian model for control strategy selection against Plasmopara viticola infections
Aug 9, 2023 - Federico M. Stefanini Dataverse
Stefanini, Federico M., 2023, "Replication Data for: A Bayesian model for control strategy selection against Plasmopara viticola infections", https://doi.org/10.13130/RD_UNIMI/AYUPDC, UNIMI Dataverse, V1, UNF:6:UaDMc6Awo2TcGK4Et0janQ== [fileUNF]
Plant pathogens pose a persistent threat to grape production, causing significant economic losses if disease management strategies are not carefully planned and implemented. Simulation models are one approach to address this challenge because they provide short-term and field-sca...
A Bayesian Causal Model to Support Decisions on Treating of a Vineyard
Apr 20, 2023 - Federico M. Stefanini Dataverse
Stefanini, Federico M., 2023, "A Bayesian Causal Model to Support Decisions on Treating of a Vineyard", https://doi.org/10.13130/RD_UNIMI/LGP5MW, UNIMI Dataverse, V1
Data from Monte Simulations to estimate incidence
Federico M. Stefanini Dataverse(University of Milan)
Apr 20, 2023
A Bayesian Causal Model to Support Decisions on Treating of a Vineyard
A conditional linear Gaussian network to assess the impact of several agronomic settings on the quality of Tuscan Sangiovese grapes
Oct 4, 2021 - A conditional linear Gaussian network - Sangiovese grapes
Stefanini, Federico M.; Alessandro Magrini; Stefano Di Blasi, 2021, "A conditional linear Gaussian network to assess the impact of several agronomic settings on the quality of Tuscan Sangiovese grapes", https://doi.org/10.13130/RD_UNIMI/BMCJ8L, UNIMI Dataverse, V1, UNF:6:zl6bIXUg5THPPd+pQwFMWw== [fileUNF]
In this paper, a Conditional Linear Gaussian Network (CLGN) model is built for a two- year experiment on Tuscan Sangiovese grapes involving canopy management techniques (number of buds, defoliation and bunch thinning) and harvest time (technological and late harvest). We found th...
A conditional linear Gaussian network - Sangiovese grapes(University of Milan)
Oct 4, 2021
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