IoT Based Drip Irrigation System for Farming using Cloud Data
Kiran Kumar1, Anitha G.2, D. Malathi Rani3, Pallavi Paladugu4
1Kiran Kumar G., IT Department, MLRIT, Hyderabad, India.
2Anitha G., IT Department, MLRIT, Hyderabad, India.
3Malathi Rani, ECE Department, MLRITM, Hyderabad, India.
4Pallavi Paladugu, IT Department, MLRIT, Hyderabad, India.
Manuscript received on February 02, 2020. | Revised Manuscript received on February 10, 2020. | Manuscript published on March 30, 2020. | PP: 711-715 | Volume-8 Issue-6, March 2020. | Retrieval Number: E4980018520/2020©BEIESP | DOI: 10.35940/ijrte.E4980.038620
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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 water resource for farming is very much important. In Olden days people used to supply water for irrigation through rivers, reservoirs, tanks, and wells for irrigation farming. Day by day some of such resources vanish and over the century, the population of India has become three times. Demand for food as growing population and the need for water for agricultural productivity is crucial. As a result of a severe shortage of water exists across parts of India. Though we have different solutions with which water and fertilizer utilization can be optimized still there are few gaps which need to be addressed to make the current systems more robust and backed by technology to get better yields. In this work, IoT based water conservation for farming using auomated drip irrigation system by considering scalability. Here for storing statics or parameters could storage is used. Based on these parameters dripping decisions (soil, moisture, and climate conditions) has been taken. The proposed solution is implemented and shown results with necessary parameters.
Keywords: IoT, irrigation and dripping.
Scope of the Article: IoT & IoE & Edge Computing.