GREENTHUMB: A MOBILE APPLICATION TO ASSIST FARMERS

Computer Engineering

India is called as land of agriculture. Agriculture accounted for 14% of the GDP (gross domestic product) in 2015-16, about 55% of the workforce. In recent years any information can be obtained from mobile devices by connecting them to internet. Farmers need advice to take decisions during the farming activities. The project is to develop a mobile application that assists farmers in various aspects. This app guides a farmer from planting to harvesting in a timely manner, provides recommendations for plantings based on soil conditions, guidelines for plant growth by suggesting the fertilizer mix and current market status regarding the particular crop is also investigated and intimated to farmers. This also provides information about the weather. There is significant amount of information available in the web regarding agriculture. Data is transformed and stored in database in the form of Ontology based repositories. RDF and OWL are the Ontology based repositories used. Large datasets stored in Ontology based repositories improvises the speed in querying semantic data. RDF (Resource Description Framework) is constructed for semantic data on a Relational Database containing structured and unstructured data. A schema is identified for the Relational database and RDF representing the schema is constructed using Jena API. OWL (Web Ontology Language) is a language for defining and instantiating Web Ontologies which refers to the science of describing entities in the world and how they are related. Semantic queries based methodology is proposed to improve the query efficiency and reduce operation cost. Retrieving data from ontology-based repositories is done using SPARQL.

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