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Iot Based predication Analysis System for Precision Agriculture

Trupti Deshkar1 , Samir Ajani2

Section:Survey Paper, Product Type: Journal Paper
Volume-07 , Issue-12 , Page no. 125-128, May-2019

Online published on May 12, 2019

Copyright © Trupti Deshkar, Samir Ajani . 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: Trupti Deshkar, Samir Ajani, “Iot Based predication Analysis System for Precision Agriculture,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.12, pp.125-128, 2019.

MLA Style Citation: Trupti Deshkar, Samir Ajani "Iot Based predication Analysis System for Precision Agriculture." International Journal of Computer Sciences and Engineering 07.12 (2019): 125-128.

APA Style Citation: Trupti Deshkar, Samir Ajani, (2019). Iot Based predication Analysis System for Precision Agriculture. International Journal of Computer Sciences and Engineering, 07(12), 125-128.

BibTex Style Citation:
@article{Deshkar_2019,
author = {Trupti Deshkar, Samir Ajani},
title = {Iot Based predication Analysis System for Precision Agriculture},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {07},
Issue = {12},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {125-128},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1060},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1060
TI - Iot Based predication Analysis System for Precision Agriculture
T2 - International Journal of Computer Sciences and Engineering
AU - Trupti Deshkar, Samir Ajani
PY - 2019
DA - 2019/05/12
PB - IJCSE, Indore, INDIA
SP - 125-128
IS - 12
VL - 07
SN - 2347-2693
ER -

           

Abstract

In India sustainable agriculture development is essential to meet food demands, economic growth and poverty reduction. Climate change having adverse effect on agriculture and traditional practices followed are planting, fertilizing and harvesting against the predetermined schedule. Precision agriculture can be used to mitigate the climate change. The work objective is optimal usage of water in irrigation, proper nutrient management to plant and avoid crop losses due to diseases and pests with proper scheduling of sprays. In this context, we have proposed an agro advisory system for the pomegranate field. Wireless sensor network is deployed on field and will continuously monitoring real time environmental, soil, hydrological and crop specific parameters. Those are important for growth, productivity and quality in agriculture. An agro advisory will be disseminated to the farmers according to real time field conditions . The experimental result analysis of proposed system shows improvement over traditional followed methods

Key-Words / Index Term

Precision agriculture, optimal usage, agro advisory, quality in agriculture

References

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