Convergence of Wireless Sensor Network and Data Mining for Pest Mangement in Agriculture
Deepa.B1, Jeen Marseline.K.S2, Nandhini.S3
1Deepa.B, Assistant Professor, Department of Information Technology, Sri Krishna Arts and Science College, Coimbatore (Tamil Nadu), India.
2Jeen Marseline. K.S, Assistant Professor, Department of Information Technology, Sri Krishna Arts and Science College Coimbatore (Tamil Nadu), India.
3Nandhini.S, Assistant Professor, Department of Computer Technology, Sri Krishna Arts and Science College, Coimbatore (Tamil Nadu), India.
Manuscript received on 05 May 2019 | Revised Manuscript received on 17 May 2019 | Manuscript Published on 23 May 2019 | PP: 547-549 | Volume-7 Issue-6S5 April 2019 | Retrieval Number: F1096010476S519/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Agriculture is the most important sector in our country. Indian agriculture faces several problems. Some of the problems are natural and some of them are manmade. Various problems faced in agriculture are Manures, Fertilizers, Pesticides, soil erosion, agricultural marketing, lack of mechanization and Irrigation. Among these problems, pests, germs and weeds cause heavy loss to crops. Excessive use of pesticides damages crops and results in heavy loss of yield. To optimize its use and help the farmers to know the proper use of pesticides, we propose a solution using data mining techniques. Technology plays a vital role in agriculture industry. It helps the farmers in reducing cost of production and increasing the quality and quantity of production. There are several parameters which are being monitored using wireless sensor networks in agriculture. Among these parameters, our main focus is pest control using Wireless Sensor Networks. This paper proposes a solution to the pest control using data mining and wireless sensor networks.
Keywords: Agriculture, Wireless Sensor Networks, Data Mining, Pest Control, Decision Tree.
Scope of the Article: Data Mining