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Future of Precision Agriculture in India using Machine learning and Artificial Intelligence

Victor Mokaya1

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-3 , Page no. 422-425, Mar-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i3.422425

Online published on Mar 31, 2019

Copyright © Victor Mokaya . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Victor Mokaya, “Future of Precision Agriculture in India using Machine learning and Artificial Intelligence,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.3, pp.422-425, 2019.

MLA Style Citation: Victor Mokaya "Future of Precision Agriculture in India using Machine learning and Artificial Intelligence." International Journal of Computer Sciences and Engineering 7.3 (2019): 422-425.

APA Style Citation: Victor Mokaya, (2019). Future of Precision Agriculture in India using Machine learning and Artificial Intelligence. International Journal of Computer Sciences and Engineering, 7(3), 422-425.

BibTex Style Citation:
@article{Mokaya_2019,
author = {Victor Mokaya},
title = {Future of Precision Agriculture in India using Machine learning and Artificial Intelligence},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2019},
volume = {7},
Issue = {3},
month = {3},
year = {2019},
issn = {2347-2693},
pages = {422-425},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3856},
doi = {https://doi.org/10.26438/ijcse/v7i3.422425}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i3.422425}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3856
TI - Future of Precision Agriculture in India using Machine learning and Artificial Intelligence
T2 - International Journal of Computer Sciences and Engineering
AU - Victor Mokaya
PY - 2019
DA - 2019/03/31
PB - IJCSE, Indore, INDIA
SP - 422-425
IS - 3
VL - 7
SN - 2347-2693
ER -

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Abstract

The changes in weather and climate conditions have always affected crop cultivation, farming and animal breeding. Measures put in place sometimes fail. Information and cognitive technologies are innovative techniques that can be leveraged to combat these changes by applying precision agriculture. In this paper discussion is on future of precision agriculture which has been proven to work in other countries using machine learning & artificial intelligence. The scope of utilization is focused on medium and large scale farmers with an aim to point out the advantages and disadvantages of the techniques. Previously there has been a slow growth in this sector but from the year 2016 onwards many start ups have been emerging which are yielding high investments. These cognitive technologies have been applied in advanced countries and have resulted in increased yield, growth in GDP, low mortality rates and improved living standards. The same can be applied locally to boost production in the agricultural sector.

Key-Words / Index Term

precision agriculture, Artificial intelligence, Machine learning, promising solutions

References

[1] S. Kathryn, "The Green Revolution of the 1960`s and Its Impact on Small Farmers in India" (2010).Environmental Studies Undergraduate Student Theses.
[2]. K.G Liakos1, P. Busato 2, D. Moshou, S. Pearson 4 and D. Bochtis 1,*Machine Learning in Agriculture :A Review 2018 sensors journal.2018
[3]. H.V. M, Abdul & Joseph, Abhilash & Gokul AJ, Ajay & K, Mufeedha. Precision Farming: The Future of Indian Agriculture. Journal of Applied Biology and Biotechnology. Vol 10 pp324-.336. (2016).
[4]. G.M Mostaço1, Í. Ramires C.Souza2, L. Barreto Campos, C.ECugnasca1. Agronomobot: A Smart Answering Chatbot Applied To Agricultural Sensor Networks. A paper from the Proceedings of the 14th International Conference on Precision Agriculture. Vol 14 2018.
[5]Priyanka R.R., Mahesh M., Pallavi S.S., Jayapala G., Pooja M.R. crop protection by an alert based system using deep learning concept Research Paper | Isroset-Journal (IJSRCSE) Vol.6 , Issue.6 , pp.47-49, Dec-2018
[6] Z. Chunhua & K. John. The application of small unmanned aerial systems for precision agriculture: A review Precision Agriculture. Vol 13 pp 11119-012-9274, 2012.
[7] B. S Blackmore, W. Stout, Wang, M., and Runov, B. Robotic agriculture – the future of agricultural mechanization. European Conference on Precision Agriculture. Vol 5. pp.621-628. (2005)
[8] M. Abdul , E. Abhilash *, A. J. Ajay , K. Mufeedha
Precision Farming: The Future of Indian Agriculture Journal of Applied Biology & Biotechnology vol 4 (Issue 06), pp 068-072 2016: