Adarsh Journal of Information Technology

N. G. Yethiraj ¹, Noor Ayesha ²

Affiliations
1 Department of Computer Science, Maharani’s Science College for Women, Bengaluru, IN
2 Dept of Computer Science, Bharathiar University, Coimbatore, IN

Abstract

We are entered in to the era of big data. Big data is the term used for data sets so huge and complicated that it becomes hard to process using traditional data management tools or processing applications. As with many other sectors the amount of agriculture data are increasing on a daily source. Big data is an increasingly important concern in modern agriculture. The use of electronic and smart technologies, now make it possible to collect vast amount of digital information about agriculture factors. The Internet of Things, the idea of getting real-world objects connected with each other, will change the way users organize, obtain and consume information radically in coming years. In the Digital Agriculture domain Internet of Things (IoT) enables various applications (crop growth monitoring and selection, irrigation decision support among other numerous applications).Through sensor networks, agriculture can be connected to the IoT, which allows one to create seamless environment among farmers and crops regardless of their geographical boundaries. IoT would enable analysis of data and informed decision making for virtually every stages of agriculture viz. Crop Selection, Support machinery selection, Land Preparation, Seed selection, Seed Sowing, Irrigation, Crop Growth, Fertilizing and Harvesting. In addition multiple independent aspects regarding Soil study, weather forecast and Insecticide, Warehousing facilities. Transportation, Market demand etc., can be amalgamated in the decision making process. Smart Agriculture is one of the good examples of Ubiquitous Computing . Ubiquitous computing is considered to be the core concept behind all advance concepts of today and near future. Proposed System consists of four stages- Analysis, Data Fusion, Classification and Data analytics.

Keywords

Big Data, IOT, WSN, Digital Agriculture.

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