A Smart Agriculture System Based On Intel Galileo For Detection Of Cultivable Crops And Implemented On Soil Nutrients
K. Sakthisudhan1, N.Saravanakumar2, S. Mohanraj3
1K. Sakthisudhan, Associate Professor, Department of Electronics and Communication Engg., Dr.N.G.P. Institute of Technology, Coimbatore, Tamilnadu, India -641 048.
2 N.Saravanakumar Associate Professor, Department of Electronics and Communication Engineering, Dr.Mahalingam College of Engineering and Technology, Pollachi, Tamilnadu, India -642 003.
3S. Mohanraj, Assistant Professor, Department of Electronics and Communication Engineering, M.Kumarasamy College of Engineering, Karur, Tamilnadu, India-639 113.
Manuscript received on 30 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 98-102| Volume-8 Issue-9, July 2019 | Retrieval Number: I7527078919/19©BEIESP | DOI: 10.35940/ijitee.I7527.078919
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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 world is in need of food, water, Shelter and without any of these there is no possibility to live. Agriculture is backbone of our nation which indeed supplies food for the entire people but the producers of food are facing many problems like moisture content, fertility of soil which affects the farming. Because of this reason cultivation and production of food grains are decreased. Current scenario is that the farmers need to go research center to test the fertility content of soil and to predict kind of plants can be cultivable in that land. In this paper perfect cultivable plants can be detected properly without approaching soil research centers which consumes more money as well time. By the application of pH sensors the fertility of soil can be measured. By measuring the pH soil nutrient content can be measured and so the suitable cultivable crop for different soil varieties can be predicted. In this view to give a healthful support to farmers, soil nutrients are analyzed and report the requirement using advanced sensors.
Keywords: Soil nutrient measurement, Soil pH analysis by Arduino, Crop analysis, Method to improve cultivation, Nutrient based crop selection, Nutrient and crop analysis by Soil pH.
Scope of the Article: System Integration