Exploration of Crop Production Improvement through Various Agricultural Monitoring Systems
B. Balaji Bhanu1, Mohammed Ali Hussain2, Ande Prasad3, Mahmood Ali Mirza4

1B. Balaji Bhanu, Research Scholar in CSE, SCSVMV University, Kanchipuram, Tamilnadu, India.
2Mohammed Ali Hussain, Professor, Department of ECM, KL Deemed to be University, Vaddeswaram, Guntur Dist., AP, India.
3Ande Prasad, Head Dept. of Computer Science, Vikrama Simhapuri University, Nellore, AP, India.
4Mahmood Ali Mirza, Professor, Department of Computer Science Engineering, Krishna University, Machilipatnam, Krishna Dist., AP, India.

Manuscript received on 27 August 2019. | Revised Manuscript received on 06 September 2019. | Manuscript published on 30 September 2019. | PP: 3747-3750 | Volume-8 Issue-11, September 2019. | Retrieval Number: K21050981119/2019©BEIESP | DOI: 10.35940/ijitee.K2105.0981119
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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: Most wireless sensor network (WSN) are widely used to adopt various crop monitoring systems which overcome many issues caused due to lack of an efficient crop monitoring system. As there is an increasing need of various decision support systems at different field locations which constantly monitor the crops for good yield. The main focus of this paper is to review the latest available crop monitoring system designs and their implementations using wireless sensor network which results in increasing the crop yielding and quality of farming without manual observation of the farmer. Many physical events such as relative humidity, soil moisture, water levels etc. are most important for the crop productivity, growth, and quality of plants in different agricultural fields. Sensors have to transmit the collected information through a gateway to the data server. The experts can observe the crop growth by calculating various natural factors from the cloud server simultaneously. The analysis of crop growth at various optimal environmental conditions is analyzed and achieved for maximum crop productiveness through this type of continuous monitoring.
Keywords: WSN, Precision Agriculture, Temperature, Humidity, IoT.
Scope of the Article: Agricultural Informatics and Communication