Automated Soil Nutrient Content Analysis and Fertilizer Suggestion for Farmers
M.K.Dharani1, K.R.Prasanna Kumar2
1M.K.Dharani, Department of Computer Science and Engineering,Kongu Engineering College, Perundurai, India.
2K.R.Prasanna Kumar, Department of Computer Science and Engineering, Kongu Engineering College, Perundurai, India.
Manuscript received on November 17., 2019. | Revised Manuscript received on November 24 2019. | Manuscript published on 30 November, 2019. | PP: 12830-12833 | Volume-8 Issue-4, November 2019. | Retrieval Number: D8004118419/2019©BEIESP | DOI: 10.35940/ijrte.D8004.118419
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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 India agriculture and its practices plays the vital role, since more number of people are employed in that process. The agricultural process goes on with the sowing, maintenance and yield. The yield of the crop purely depends on the season, maintenance and the nutrient content available in the soil. Soil nutrient analysis has been made before sowing period with the help of soil testing laboratory, based on the laboratory results and the selected crops. End of the analysis process the fertilizer suggestion would be given to the farmer. In the existing system the analysis process is done manually and farmers would be given direct suggestion about the fertilizer. Since the process is repetitive it consumes more time and there may be chance of human error which may majorly affect the yield. The main aim of the proposed work is to design an Automated Fertilizer Suggestion (AFS) application to give effective suggestions to farmers about the fertilizers with respect to crops based on the soil test results. Our proposed application reduces the time, controls the human errors, avoids the over dumping of fertilizer in the soil and improves the yield.
Keywords: Nutrient, Analysis, Soil, Fertilizer, Agriculture, Soil nutrient analysis. Farmers, Testing.
Scope of the Article: Agricultural Informatics and Communication.