Automatic soil nutrients and crop detection management system using IOT

May 2021
Vol-7, Issue-3
Paper ID: 14139
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Science & Engineering
Keywords
Microcontroller Sensor Soil Testing ThingSpeak Machine Learning
Abstract
The soil fertility is scaled by the amount of area where the soil will support the life of plant, as the soil fertility measures the quality of the soil. The nutrients and ingredients present in the soil describes its fertility, as the soil fertility is evaluated by the different types of nutrients (macro nutrients and micro nutrients), amount of water and pH level. As the nutrients of the soil is reduced after garnering so it must be filled up and to do that we should maintain the nutrients level in the soil, if deficiency found nutrients must be added to the soil. Mostly famers add the fertilizers manually, as fertilizers play an important role for garnering the soil, the amount of fertilizer should be given in the right amount as it can harm the plant if more or less fertilizers are added. Now a days advanced Technology is used as it promises to solve the problem. Many Technologies are used for irrigation of soils and its garnering but none of them meet the actual expectation for maintaining its fertility. This research focuses on the macro and micro nutrients present in the soil and Through chemical processes nutrients are evaluated. We are presenting an automated system that controls and checks the scale of fertilizers whether the fertilizers present in the soil are in right amount or not .

Author Information

# Name Institute / Affiliation
1 Sonal S Udapudi Dayananda Sagar Academy of Technology and Management
2 Sonika R Dayananda Sagar Academy of Technology and Management
3 Aravind E M Dayananda Sagar Academy of Technology and Management
4 Prasad Shivam Dayananda Sagar Academy of Technology and Management

How to Cite

Use the following formats to cite this article in your research.

APA Style
Udapudi, Sonal S, R, Sonika, M, Aravind E, & Shivam, Prasad (2021). Automatic soil nutrients and crop detection management system using IOT. International Journal of Advance Research and Innovative Ideas In Education, 7(3), 197-205.
MLA Style
Udapudi, Sonal S, et al. "Automatic soil nutrients and crop detection management system using IOT." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, 2021, pp. 197-205.
IEEE Style
Sonal S Udapudi, Sonika R, Aravind E M, and Prasad Shivam, "Automatic soil nutrients and crop detection management system using IOT," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, pp. 197-205, 2021.
Vancouver Style
Udapudi Sonal S, R Sonika, M Aravind E, Shivam Prasad. Automatic soil nutrients and crop detection management system using IOT. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(3):197-205.
Harvard Style
Udapudi, Sonal S, R, Sonika, M, Aravind E, & Shivam, Prasad (2021) 'Automatic soil nutrients and crop detection management system using IOT', International Journal of Advance Research and Innovative Ideas In Education, 7(3), pp. 197-205.
Chicago Style
Udapudi, Sonal S, et al. "Automatic soil nutrients and crop detection management system using IOT." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 197-205.
Turabian Style
Udapudi, Sonal S, et al. "Automatic soil nutrients and crop detection management system using IOT." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 197-205.

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