Publication Type : Conference Proceedings
Publisher : 2018 International Conference on Communication and Signal Processing (ICCSP), IEEE, Chennai, India.
Source : 2018 International Conference on Communication and Signal Processing (ICCSP), IEEE, Chennai, India, p.0688-0692 (2018)
Url : https://ieeexplore.ieee.org/abstract/document/8524512
Keywords : agriculture, automated soil nutrient monitoring, Computer architecture, Condition monitoring, IOT, Monitoring, nitrogen, Recommendation system, sensor, Sensors, Soil, Soil measurements
Campus : Amritapuri
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science
Verified : No
Year : 2018
Abstract : Agriculture contributes only 22% of income to Indian economy. The major cause to this drop is natural calamity and variations in the nutrients of soil due to environmental changes. Overcoming the awful situations due to natural calamity challenges is arduous. Technology can be applied to understand the variations in the soil nutrient thereby helping the farmer community to find out a positive solution. In this paper we have proposed a cost effective model that is deployed using sensors so that the analysis of the soil can be done in most simplest manner. The model discussed here has been experimented and proved to provide 90% accuracy.
Cite this Research Publication : R. Akhil, Gokul, M. S., Menon, S., and Lekshmi S. Nair, “Automated Soil Nutrient Monitoring for Improved Agriculture”, 2018 International Conference on Communication and Signal Processing (ICCSP). IEEE, Chennai, India, pp. 0688-0692, 2018