AGRO ADVISORY SYSTEM FOR COTTON CROP FARMERS

In agricultural domain, the main challenge is improvement of a specialist framework (Agro-Advisory System) which gives important responses to questions in regards to sort of soil/atmosphere for a specific harvest, weather data, cropping pattern, crop disease,  pests and so on. Agro-Advisory System is a query-answering support for farmers, which is nothing but an ontology based knowledge system. Knowledge acquisition is done with the aid of Agro experts. To handle these queries, the old procedure was to collect the questions from farmers and record these questions, then search for the answers to these questions manually from documents provided by agricultural experts. Sometimes lack of experts and their expertise creates problem, so we choose expert system approach to solve this problem. Queries over the system can be defined to be of two categories. One is described as queries over the databases. The other category is the queries over knowledge bases. Database applications are the applications which help in retrieving information from a relational database and queries over the database facilitates this. One such application which helps users in extracting information from the database without having knowledge of it is BANKS

An analysis of RDF view maintenance using Jena

Resource Description Framework is a next generation technique to create web content. This has given rise to the need to develop efficient and effective techniques to manage high volume RDF structures. This paper deals with Semantic Web technologies and presents an analysis of JENA based updation of RDF structures. The view maintenance of RDF structures (varying sizes), i.e. updating RDF structures using views is performed through JENA constructs and performance of insertion and deletion operations is measured. After analysis, Insert operation time was observed to increase proportionally however time remained the same for delete operations performed on the RDF dat

The Semantic Web as a Platform Against Risk and Uncertainty in Agriculture

In this article, we discuss existing literature on DSS in agriculture, on DSS that use data available in the Semantic Web, and on Semantic Web initiatives focusing on agriculture information. Our goal is to assess the readiness of the Semantic Web as a platform to empower DSS that can keep risk and uncertainty in agriculture under control. Key agricultural activities targeted by DSS reported in literature are nutrient management, insect and pest management, land use and planning, environmental change and forecasting, and water and drought management. The most relevant use of Semantic Web in DSS, is in data analysis, as a means of making DSS more intelligent. There are initiatives to produce vocabularies and semantic repositories in the domain of agriculture. However, data and models are still isolated in specific domain repositories, and interoperability is still weak.IFIP Advances in Information and Communication Technology, vol. 506.Laboratorio de Investigación y Formación en Informática Avanzad

The Semantic Web as a Platform Against Risk and Uncertainty in Agriculture

In this article, we discuss existing literature on DSS in agriculture, on DSS that use data available in the Semantic Web, and on Semantic Web initiatives focusing on agriculture information. Our goal is to assess the readiness of the Semantic Web as a platform to empower DSS that can keep risk and uncertainty in agriculture under control. Key agricultural activities targeted by DSS reported in literature are nutrient management, insect and pest management, land use and planning, environmental change and forecasting, and water and drought management. The most relevant use of Semantic Web in DSS, is in data analysis, as a means of making DSS more intelligent. There are initiatives to produce vocabularies and semantic repositories in the domain of agriculture. However, data and models are still isolated in specific domain repositories, and interoperability is still weak.IFIP Advances in Information and Communication Technology, vol. 506.Laboratorio de Investigación y Formación en Informática Avanzad

The Semantic Web as a Platform Against Risk and Uncertainty in Agriculture

In this article, we discuss existing literature on DSS in agriculture, on DSS that use data available in the Semantic Web, and on Semantic Web initiatives focusing on agriculture information. Our goal is to assess the readiness of the Semantic Web as a platform to empower DSS that can keep risk and uncertainty in agriculture under control. Key agricultural activities targeted by DSS reported in literature are nutrient management, insect and pest management, land use and planning, environmental change and forecasting, and water and drought management. The most relevant use of Semantic Web in DSS, is in data analysis, as a means of making DSS more intelligent. There are initiatives to produce vocabularies and semantic repositories in the domain of agriculture. However, data and models are still isolated in specific domain repositories, and interoperability is still weak.IFIP Advances in Information and Communication Technology, vol. 506.Laboratorio de Investigación y Formación en Informática Avanzad