Smart Agricultural Management using IoT Based Automation Sensors
T. Veeramakali1, D. Ramkumar2, S. Selvakumar3, Sanjeevi Pandiyan4, Baseera A5
1Dr. T. Veeramakali*, Assistant Professor, Department of CSE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India.
2Dr. D. Ramkumar, Principal, Department of ElCE, As-salam College of Engg & Tech, Thanjavur, Tamilnadu, India.
3Dr. Subramanian Selvakumar, Professor, Dept. of Computer Science & Engineering, Visvesvaraya College of Engineering & Technology, Hyderabad, India.
4Dr. Sanjeevi Pandiyan, Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, Jiangnan University, Wuxi, China.
5Dr. Baseera A, Asst. Prof., School of Computing Science and Engineering, Vellore Institute of Technology-Bhopal, Madhya Pradesh, India.
Manuscript received on February 28, 2020. | Revised Manuscript received on March 22, 2020. | Manuscript published on March 30, 2020. | PP: 5789-5805 | Volume-8 Issue-6, March 2020. | Retrieval Number: F9073038620/2020©BEIESP | DOI: 10.35940/ijrte.F9073.038620
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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: All humans mainly rely on cultivation for food. Agriculture acts as a backbone for many countries’ economy. Deprived of agriculture there could be no towns, universities, industries or workplaces. As humans we have to improvise our cultivation to increase the gained profit and also to handle all the food demands due to the increase in world population. Basically we need to have a basic understanding about our environment and its altering conditions to improvise our farm production techniques. Manual collection of these agricultural data will not be qualitative since there won’t be any data collection of earlier techniques used by our ancestors. Such information is required to avoid invalid conclusions before being utilized in our current agricultural methodologies. IoT in agricultural field plays a vital role in providing improvements in cultivation techniques, disease diagnosis, providing fertility rates, water stress level, field monitoring, detecting soil erosion, smart data handling, analysis of crop yield, automation to water spreading, better product’s quality, risk management, effective data handling etc. We can utilize IoT wireless networks for the collection of all the information necessary for agriculture. We can receive spatial data from IoT cameras and many more new technologies utilized to improvise the irrigation methodology. The decision making will be improved with more security and optimized outcome will be gained. In our proposed method, a smart agricultural methodology based on IoT platform is proposed. The collection of various data related to fertilization, soil, environment, irrigation etc. are done to perform data correlation and data filtering. Crop forecasting and prediction can be done to perform perfect farming by agricultural assessment. Our proposed model can be integrated to any IoT sensors; cameras etc. in a virtual manner and it supports cloud data storage as well. A stable connectivity is also possible between the IoT devices. Here we have provided a detailed survey of all the research works we have referenced, our proposed model along with the architecture, hardware (Microcontrollers, Zigbee Module, Moisture sensor etc.) and software (Debugging, Simulator, Dip Trace, Monitoring etc.) used, result evaluation is also done for temperature, humidity value, channel status etc. All the results are graphically represented and our brief conclusion is given.
Keywords: Smart Agriculture, Internet of Things, Automation Sensors, Irrigation, Warehouse.
Scope of the Article: Data Management.