Data Mining Techniques in Smart Agriculture


EOI: 10.11242/viva-tech.01.04.164

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Citation

Jash V Oza, Prof . Pradnya Mhatre, "Data Mining Techniques in Smart Agriculture", VIVA-IJRI Volume 1, Issue 4, Article 164, pp. 1-6, 2021. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

Agriculture is an important sector in many countries, especially in the rural sector. It introduces a major source of food for people worldwide. However, it faces the great challenge of producing more and better quality while increasing sustainability through proper use of natural resources, reducing environmental degradation and adapting to climate change.Therefore, it is very important to move from traditional farming methods to new modern agriculture. Smart Agriculture is one of the solutions to address the growing demand for essential food products while meeting the needs of sustainability. In Smart Advanced Agriculture, the role of knowledge is growing day by day. Information on weather conditions, soil, diseases, pests, seeds, fertilizers, etc. It contributes significantly to the economic development and sustainability of the sector. Smart and Advanced Management consists of transferring, collecting, analyzing and selecting data.As the value of agricultural data increases exponentially, robust analytical techniques that are able to process and analyze large amounts of data to obtain accurate data and more accurate predictions are essential. Data Mining is expected to play a key role in Smart / Modish Agriculture managing real-time and big data analysis. The purpose of this paper is to review further studies and research on Advance and smart agriculture using the latest Data Mining practice, to solve various agricultural problems and scenerios.

Keywords

Data mining, IoT, Precision agriculture , Smart agriculture, WSN.

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