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Paper Title

Soil Health Diagnostics For Agriculture Using Internet Of Things

Authors

Prajakta Suhas Chandwadkar , Shruti Khedlekar , Anuja Gunjal , Sukanya Anap , Prof. N. L. Bhale

Keywords

Smart Agriculture, IoT, Sensor, Cloud, Nutrients, temperature

Abstract

In recent Years, agriculture has become increasingly Data-Driven and Data –Enabled due to the use of different technologies such as greenhouse and aquaculture technologies. With the development of agriculture, new technology is required, and the focus is facing towards the smartest technological investment. The increasing demand for the quality and the quantity in the food sector raised the need to intensify and industrialize the agriculture sector. The current work provides empirical measurement results from an Internet of Things (IoT) platform based on remote telemetry applications for agriculture. Our aims to demonstrate how the processing of Big Data and the concept of Decentralized cloud operation can answer the demands of IoT applications in agriculture and how smart farming will help farmers operate more efficiently and more secured. Soil Testing is essential for modern agriculture: to optimize the production, protect the environment from fertilizers overuse, save money and energy during the production. The purpose of this work was to develop an autonomous mobile platform. Soil samples are analyses to determine the composition, characteristics or nutrient levels of soil. The System has a duplex communication link based on a cellular Internet interface that allows for data inspection and irrigation scheduling to be programmed through an android application. Because of its energy and autonomy and low cost, the system has the potential to be useful in water limited geographically isolated area. Despite the perception people may have regarding the agricultural process, the reality is that today’s agriculture industry is data-cantered, precise, and smarter than ever. The rapid emergence of the Internet-of-Things (IoT) based technologies redesigned almost every industry including “Smart Agriculture” which moved the industry from statistical to quantitative approaches. Such revolutionary changes are shaking the existing agriculture methods and creating new opportunities along a range of challenges. This article highlights the potential of wireless sensors and IoT in agriculture, as well as the challenges. This article highlights the potential of wireless sensors and IoT in agriculture, as well as the challenges expected to be faced when integrating this technology with the traditional farming practices.

How To Cite

Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.

IJRTI — journal style
"Soil Health Diagnostics For Agriculture Using Internet Of Things", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.5, Issue 3, page no.163 - 166, March-2020, Available :https://ijrti.org/papers/IJRTI2003028.pdf
APA — 7th edition
Chandwadkar, P. S., Khedlekar, S., Gunjal, A., Anap, S., & Bhale, N. L. (2020). Soil Health Diagnostics For Agriculture Using Internet Of Things. International Journal for Research Trends and Innovation, 5(3), 163 - 166. https://ijrti.org/viewpaperforall.php?paper=IJRTI2003028
MLA — 9th edition
Chandwadkar, Prajakta Suhas, et al. "Soil Health Diagnostics For Agriculture Using Internet Of Things." International Journal for Research Trends and Innovation, vol. 5, no. 3, 2020, pp. 163 - 166, https://ijrti.org/viewpaperforall.php?paper=IJRTI2003028.
Chicago — 17th, bibliography
Chandwadkar, Prajakta Suhas, et al. "Soil Health Diagnostics For Agriculture Using Internet Of Things." International Journal for Research Trends and Innovation 5, no. 3 (2020): 163 - 166. https://ijrti.org/viewpaperforall.php?paper=IJRTI2003028.
Harvard — author–date
Chandwadkar, P.S. et al. (2020) 'Soil Health Diagnostics For Agriculture Using Internet Of Things', International Journal for Research Trends and Innovation, 5(3), pp. 163 - 166. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI2003028
IEEE — numbered reference
P. S. Chandwadkar, S. Khedlekar, A. Gunjal, S. Anap and N. L. Bhale, "Soil Health Diagnostics For Agriculture Using Internet Of Things," IJRTI, vol. 5, no. 3, pp. 163 - 166, Mar. 2020.
Vancouver — biomedical
Chandwadkar PS, Khedlekar S, Gunjal A, Anap S, Bhale NL. Soil Health Diagnostics For Agriculture Using Internet Of Things. IJRTI. 2020 Mar;5(3):163 - 166.
AMA — 11th edition
Chandwadkar PS, Khedlekar S, Gunjal A, Anap S, Bhale NL. Soil Health Diagnostics For Agriculture Using Internet Of Things. IJRTI. 2020;5(3):163 - 166. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI2003028
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2003028, author = {Prajakta Suhas Chandwadkar and Shruti Khedlekar and Anuja Gunjal and Sukanya Anap and N. L. Bhale}, title = {Soil Health Diagnostics For Agriculture Using Internet Of Things}, journal = {International Journal for Research Trends and Innovation}, volume = {5}, number = {3}, pages = {163 - 166}, year = {2020}, month = {March}, issn = {2456-3315}, url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI2003028} }
RIS — EndNote, RefWorks
TY - JOUR AU - Chandwadkar, Prajakta Suhas AU - Khedlekar, Shruti AU - Gunjal, Anuja AU - Anap, Sukanya AU - Bhale, N. L. TI - Soil Health Diagnostics For Agriculture Using Internet Of Things T2 - International Journal for Research Trends and Innovation JA - IJRTI VL - 5 IS - 3 PY - 2020 SN - 2456-3315 UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI2003028 SP - 163 EP - 166 ER -

Issue

Volume 5 Issue 3, March-2020
Pages : 163 - 166

Other Publication Details

Paper Reg. ID IJRTI_181177
Published Paper ID IJRTI2003028
Downloads 205,616
Research Area Engineering
Country NASHIK, MAHARASHTRA, India
Published March 2020

About Publisher

International Journal for Research Trends and Innovation Published by IJRTI (JW Publication)
2456-3315 ISSN
10.57 Impact Factor
2016 ESTD Year
Open Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
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Licence

© 2020 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
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Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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