Mallikarjunaiah H B1
, Prasanna Kumar2
Section:Research Paper, Product Type: Journal Paper
Volume-07 ,
Issue-15 , Page no. 400-403, May-2019
CrossRef-DOI:
https://doi.org/10.26438/ijcse/v7si15.400403
Online published on May 16, 2019
Copyright © Mallikarjunaiah H B, Prasanna Kumar . 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: Mallikarjunaiah H B, Prasanna Kumar, “Soil characteristics analysis using IoT RM,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.15, pp.400-403, 2019.
MLA Style Citation: Mallikarjunaiah H B, Prasanna Kumar "Soil characteristics analysis using IoT RM." International Journal of Computer Sciences and Engineering 07.15 (2019): 400-403.
APA Style Citation: Mallikarjunaiah H B, Prasanna Kumar, (2019). Soil characteristics analysis using IoT RM. International Journal of Computer Sciences and Engineering, 07(15), 400-403.
BibTex Style Citation:
@article{B_2019,
author = {Mallikarjunaiah H B, Prasanna Kumar},
title = {Soil characteristics analysis using IoT RM},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {07},
Issue = {15},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {400-403},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1267},
doi = {https://doi.org/10.26438/ijcse/v7i15.400403}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i15.400403}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1267
TI - Soil characteristics analysis using IoT RM
T2 - International Journal of Computer Sciences and Engineering
AU - Mallikarjunaiah H B, Prasanna Kumar
PY - 2019
DA - 2019/05/16
PB - IJCSE, Indore, INDIA
SP - 400-403
IS - 15
VL - 07
SN - 2347-2693
ER -
With the advance in IOT and Sensors have influenced Agriculture in better environment monitoring and rise in yields. Farmers need to know the field environment conditions before sowing during anyseason. Mixed farming and Crop rotation are practiced widely. In different part of the season the soil fertility characteristics would vary. Farmers facing several challenges related to knowing the nutrients of soil. In this work experiment existing models are reviewed and proposed a modelto demonstrate how soil characteristics can be instantly measured to accurate using sensors and monitored in real time. We have used IOT solutions using affordable sensors that reports Air temperature, Soiltemperature, Soil moisture and Water sensors. The collected data is automatically uploaded to cloud using Wi-Fi connectivity. Data analytics is carried out in cloud server and the report can be viewed in real time using Mobile application
IOT, Smart Agriculture, Cloud,Node MCU
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