A Soil Quality Analysis and An Efficient Irrigation System using Agro-Sensors
Fenila Naomi J1, Theepavishal RA2, Madhuaravindh K S3, Tharuneshwar V4
1Fenila Naomi J, Department of Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore (Tamil Nadu), India.
2Theepavishal RA, Department of Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore (Tamil Nadu), India.
3Madhuaravindh K S, Department of Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore (Tamil Nadu), India.
4Tharuneshwar V, Department of Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore (Tamil Nadu), India.
Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript published on 30 June 2019 | PP: 703-706 | Volume-8 Issue-5, June 2019 | Retrieval Number: E7212068519/19©BEIESP
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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: In today’s busy world, people run out of time and technology is empowering them in all sectors. In this case, Agriculture is also developing in its technical aspect the primary sector which is India’s backbone. Farmers are in the need of smart facilities to overcome their difficulties such as water scarcity, pesticide control, irrigation, soil. This paper is based on IOT device using sensors controlled by mobile application. The major nutrition required for growth of the plant in a soil is nitrogen, potassium and phosphorous using NPK sensors which can detect amount of fertilizers to be provided for the soil. Temperature and humidity sensor will monitor the weather and soil reports using past data. Therefore all these sensors are connected to the arduino board and the data collected from sensors are sent to the interface of the mobile application. This application will provide the user interface to monitor fertilizers, irrigation and humidity control. This also gives suggestion for best crop to be cultivated in the best time and the required pesticide for the crop using machine learning technique. If the crop has threat in a particular area are identified and provided with the sufficient need as it is connected to the every sprinkler and drip in the field. This application would be helpful for the farmers who are thinking for smart implementation in agricultural sector.
Keywords: Sensors, Arduino, Machine Learning, Mobile Application, Agricultural Sector
Scope of the Article: Machine Learning