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An adaptive mealy machine model for monitoring crop status

Journal of Integrative Agriculture 2017年第2期16卷 252-265页

作者： Berk Ustundag Agricultural and Environmental Informatics Application & Research Center/Faculty of Informatics and Computer Engineering Istanbul Technical University Istanbul 34469 Turkey

Variation in phenological stage is the major nonlinearity in monitoring, modeling and various estimations of agricultural systems. Indices are used as a common means of evaluating agricultural monitoring data from remote sensing and terrestrial observation systems, and many of these indices have linear characteristics. The analysis of and relationships between indices are dependent on the type of plant, but they are also highly variable with respect to its phenologicat stage. For this reason, variations in the phenologica! stage affect the performance of spatiotemporal crop status monitoring. We hereby propose an adaptive event-triggered model for monitoring crop status based on remote sensing data and terrestrial observations. In the proposed model, the estimation of phenological stage is a part of predicting crop status, and spatially distributed remote sensing parameters and temporal terrestrial monitoring data are used together as inputs in a state space system model. The temporal data are segmented with respect to the phenological stage-oriented timing of the spatial data, so instead of a generalized discrete state space model, we used logical states combined with analog inputs and adaptive trigger functions, as in the case of a mealy machine model. This provides the necessary nonlinearity for the state transi- tions. The results showed that observation parameters have considerably greater significance in crop status monitoring with respect to conventional agricultural data fusion techniques.

关键词： plant phenology monitoring yield prediction finite automata mealy machine remote sensing

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Construct a based on mealy!The Meaning of the machine Process Validation Method

Construct a based on Mealy!The Meaning of the Machine Proces...

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2012 National Conference on Information Technology and Computer Science

作者： Gan Hong GuangZhou City Construction College GuangZhou,510925 Pan Dan GuangZhou City Construction College GuangZhou,510925

semantic validation is bound semantics and semantic programming language software development problem.To solve this problem,in this paper introduces a kind of semantic Web services based on semantic programming language SPL and its knowledge base business domain ontology （BDO） foundation,proposed one kind based on the mealy! SPL language machine by scheduling the process semantic verification method.Finally,combined with an online forex trading platform in the case,a detailed description of the use of the method of semantic verification process,through the case has proved that this method is useful in the preparation of semantically correct semantic program.

关键词： mealy machine ontology program design semantic verification

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