An IoT based Application for Real Time Monitoring of the Crops for Agriculture Lands
N. Gopinath1, M. Vikram2, J. Andrew3, R. Goutham4
1N. Gopinath, his/her department, Name of the affiliated College or University/Industry, City, Country.
2M. Vikram, Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India.
3J. Andrew, Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India.
4R. Goutham, Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India.
Manuscript received on March 12, 2020. | Revised Manuscript received on March 25, 2020. | Manuscript published on March 30, 2020. | PP: 2721-2726 | Volume-8 Issue-6, March 2020. | Retrieval Number: F8506038620/2020©BEIESP | DOI: 10.35940/ijrte.F8506.038620
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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: The Internet of Things (IoT) provides the opportunity of individuals and devices to educate and collaborate with lots of things namely sensors, actuators, appliances and other wirelessly connected things and we proposed an idea to implement IoT in Agriculture. Environmental attributes are measured using sensors. Regarding our survey, we came to know that website is used as an interface, linked to the sensed data. Uses local Database and services which makes app huge. Lags Disease detection and other predictions are not done. Our project generates data in real time and predict the problems, gives early cautioning and prevent interlude, develop new opportunities and plan better Agri-lands for the future by using simulations. Predicts crop diseases and gives preventive measures. Forecasts the climatic conditions like humidity, rainfall and manage the irrigation, checks soil fertility, monitors water quality for optimal plant growth, controls water usage and irrigation management.
Keywords: Internet of Things, Smart Agriculture, Irrigation Automation, Rain based irrigation, Fertilizer Management.
Scope of the Article: Data Management.