Precision Agriculture Using Fog-Edge Computing
Sri Nivasan.R1, Kavitha M2, Shashank Reddy.D3, NagaHarshitha.C4

1R. Sri Nivasan, Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, (Tamil Nadu), India.
2Dr. Kavitha M, Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, (Tamil Nadu), India.
3D. Shashank Reddy, Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, (Tamil Nadu), India.
4C. Naga Harshitha, Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, (Tamil Nadu), India.

Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 2539-2543 | Volume-8 Issue-7, May 2019 | Retrieval Number: G5579058719/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© 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: Internet of Things gives a new development in the area of farming and agriculture sector. It provides accurate solutions for the advanced problems involved in the agriculture by decreasing extra manpower. In this paper we are executing IoT based services to the agricultural sector. The main aim of this paper is to detect the insect pests in the tomato crop by using the various sensors. Now days the quality agriculture is always a strong area, where the technology based on sensors plays a vital role. Most commonly; sensors provide real time data in the field. By deploying sensors and Mapping fields farmers can start to comprehend their products in miniaturized scale. With the use of Fog computing and Wi-Fi based distance network in IoT, the pest data can be collected by the farmer in the early stages of the crop diseases via message. Fog Computing has a main aim in enlarging by bringing the cloud its required power of computation, storage and communication capabilities with respect to IoT to the edge of the network. Instead of walking down the field, the farmer today can take necessary measures to reduce the pest’s population by using the automatic sprinkler mixed with pesticides by using soil moisture sensor.
Keyword: IoT, WIFI, Fog Computing, Automatic Sprinkler, Soil Moisture Sensor.
Scope of the Article: Parallel Computing