Ontology highlight
ABSTRACT:
SUBMITTER: Kocian A
PROVIDER: S-EPMC7309099 | biostudies-literature | 2020 Jun
REPOSITORIES: biostudies-literature
Kocian Alexander A Carmassi Giulia G Cela Fatjon F Incrocci Luca L Milazzo Paolo P Chessa Stefano S
Sensors (Basel, Switzerland) 20200607 11
This paper follows an integrated approach of Internet of Things based sensing and machine learning for crop growth prediction in agriculture. A Dynamic Bayesian Network (DBN) relates crop growth associated measurement data to environmental control data via hidden states. The measurement data, having (non-linear) sigmoid-type dynamics, are instances of the two classes observed and missing, respectively. Considering that the time series of the logistic sigmoid function is the solution to a recipro ...[more]