IoT Based Decision Support System for Agriculture Yield Enhancements
P. Uva Dharini1, S. Monisha2, K. Narrmadha3, K. Saranya4
1P. Uva Dharini, Student, Department of Computer Science and Engineering, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
2S. Monisha, Student, Department of Computer Science and Engineering, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
3K. Narrmadha, Student, Department of Computer Science and Engineering, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
4K. Saranya, Assistant Professor, Department of Computer Science and Engineering, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
Manuscript received on 14 December 2018 | Revised Manuscript received on 25 December 2018 | Manuscript Published on 09 January 2019 | PP: 362-366 | Volume-7 Issue-4S November 2018 | Retrieval Number: E1993017519/19©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: In agriculture Expert systems are used in a wide range of operation. Farmers mostly depend on agricultural specialists for decision making. These systems are used by farmers and others without the knowledge of computer usage. In this paper we present the part of expert system in agriculture and its approaches in crop production. It is a knowledge build system for information generation with existing knowledge. This supports farmers in identifying economically strong decision for crop management. On considering the success of expert system, various such systems were developed. IoT plays a key role in agriculture. The abstraction of IoT and its architecture is discussed in this paper. Expert system builds on Internet of Things (IoT) uses the input data gathered in real time is proposed in this paper. In this paper, an expert system in cloud based infrastructure is used. IoT components such as &Cube (IoT Gateway) and Mobius (IoT service platform) are integrated in proposed system. In the proposed system, Kalman filter (KF) is used in sensor node to minimize the noise in sensor fusion. This paper illustrates the need of expert system in agriculture and the advantages of IoT based farming.
Keywords: IoT Agriculture Support System Management Knowledge.
Scope of the Article: IoT