Adaptive Crop Monitoring System Based on Wireless Sensor Networks
B. Balaji Bhanu1, Mohammed Ali Hussain2, Mahmood Ali Mirza3
1B. Balaji Bhanu, Research Scholar Department of CSE, SCSVMV University, Kanchipuram, Tamilnadu, India.
2Mohammed Ali Hussain, Professor, Department of ECM, KL Deemed to be University, Vaddeswaram, Guntur Dist., AP, India.
3Mahmood Ali Mirza, Professor, Department of Computer Science Engineering, Krishna University, Machilipatnam, Krishna Dist., AP, India.
Manuscript received on November 25, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 1889-1894 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B3088129219/2019©BEIESP | DOI: 10.35940/ijeat.B3088.129219
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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: Through incorporation of wireless sensor networks (WSNs) into many domains like health care, smart city and various industrial applications, it has become a broad area of research to many experts and scholars worldwide. This paper mainly concentrates on efficient development of agriculture by various modern procedures followed by farmers especially in southern part of India. This includes combination of various climatic parameters like temperature, light, rain and other environmental factors. The existing applications lack location specific data based on their system structure and other key technologies. Therefore there is a need for a systematic architecture based on various locations as environment differs from location to location. This paper presents an adaptive approach for crop management and an easy way to monitor systems which helps the farmer to get a better crop yield. The advantages and challenges of the existing systems are discussed here and various novel and innovative ideas are discussed along with future scope.
Keywords: Wireless Sensor Networks (WSN), temperature, light, crop management, environment.