102 research outputs found
IoT as a Means of Strengthening Individual Farmers’ Position in Collaboration for Transformation to Sustainable Farming.
No full textNew solutions to collaboration toward sustainability are needed for the agri-food sector, covering sustainability in a broader sense, including social, economic, and environmental issues. The chapter describes the use of Internet of Things in combination with sensor data networks in a micro-case where farmer can improve the farms’ sustainability. The results show that using IoT enables the farmer to regain the “being-in-control” position of running his own farm, as owner of the data (management) and the sensor system. This stronger position brings connectivity to the farm environment, saves resources, and drives down unnecessary costs such as those arising from passively complying to stakeholders’ pressures. Further, the chapter shows the areas for future developments in transformation to smart farming
Associated transforms for solution of nonlinear equations
No full textNonlinear multivariable differential or integrodifferential equations with terms of
mixed dimensionality can be solved using multidimensional Laplace transform. The special
technique used to find the inverse of the multidimensional Laplace transform is known as
the association of variables. In this paper, some basic theorems are developed for the theory
of association. Examples are presented for each theorem. Once the basic theorems are
established, it is possible to derive many useful ssociated pairs
A GENERAL MATHEMATICAL THEORY OF A THREE-PORT SURFACE ACOUSTIC WAVE NETWORK WITH APPLICATIONS
No full text
InBiodiv-O: An Ontology for Indian Biodiversity Knowledge Management
No full textTo present the biodiversity information, a semantic model is required that
connects all kinds of data about living creatures and their habitats. The model
must be able to encode human knowledge for machines to be understood. Ontology
offers the richest machine-interpretable (rather than just machine-processable)
and explicit semantics that are being extensively used in the biodiversity
domain. Various ontologies are developed for the biodiversity domain however a
review of the current landscape shows that these ontologies are not capable to
define the Indian biodiversity information though India is one of the
megadiverse countries. To semantically analyze the Indian biodiversity
information, it is crucial to build an ontology that describes all the
essential terms of this domain from the unstructured format of the data
available on the web. Since, the curation of the ontologies heavily depends on
the domain where these are implemented hence there is no ideal methodology is
defined yet to be ready for universal use. The aim of this article is to
develop an ontology that semantically encodes all the terms of Indian
biodiversity information in all its dimensions based on the proposed
methodology. The comprehensive evaluation of the proposed ontology depicts that
ontology is well built in the specified domain.Comment: This paper has been withdrawn by the author due to many grammatical
errors, and inconsistent conten
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