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Smart Water Dripping System for Agriculture/ Farming
D. Sowmya1, R. Praveen Sam2, K. Govardhan Reddy3

1D. Sowmya, M.Tech Student, G.Pulla Reddy Engineering College, Kurnool (Andhra Pradesh), India.
2Dr. R. Praveen Sam, Professor, G.Pulla Reddy Engineering College, Kurnool (Andhra Pradesh), India.
3Dr. K. Govardhan Reddy, Associate Professor, G.Pulla Reddy Engineering College, Kurnool (Andhra Pradesh), India.
Manuscript received on 21 September 2019 | Revised Manuscript received on 06 October 2019 | Manuscript Published on 11 October 2019 | PP: 876-881 | Volume-8 Issue-2S10 September 2019 | Retrieval Number: B11610982S1019/2019©BEIESP | DOI: 10.35940/ijrte.B1161.0982S1019
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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 main work uses an ARDUINO microcontroller that is programmed to obtain the input signal of varying moisture condition of the soil through the sensing association. Soil sensor is done by way of usage of an op-amp as a comparator which acts as an interface among the sensing arrangement and the microcontroller. Once the controller receives this sign, it generates an output that drives a relay for running the water pump. An LCD show is also interfaced to the microcontroller to show repute of the soil, temperature, PH, WIFI and water pump. Water shortage has been massive trouble for agriculture. This proposed concept is beneficial to the farmers to irrigate the farms successfully the usage of an electronic irrigation gadget based totally on soil temperature, moisture and pH. Respective sensors are used to locate the soil water content material stage and based on this, and microcontroller drives the servo motor and pump. Irrigation fame is up to date to the database the use of PC. This method works utilizing putting in sensors within the subject to monitor the soil temperature, moisture and kind of soil, which transmits the data to the microcontroller for estimation of the correct amount of water as according to the requirements. The accumulated data is updated sometimes to the server and may be accessed through an Android app. The next watering of plant life may be managed the usage of the aforementioned app. Depending upon the form of soil and crop, the fertilizers are recommended by means of applying Naïve Bayes set of rules at the database. The estimated quantity of rain is predicted using weather forecasting using Web scraper, and the plants are watered for this reason, i.e., is a heavy rainfall is predicted then the device will routinely reduce the water supplied to the plants.
Keywords: Smart Farming Soil System.
Scope of the Article: Smart Spaces