ISSN2456-3315
Impact Factor10.57
UGC CAREApproved
Low Cost₹599 / $45
CrossRefDOI
ESTD2016
Peer ReviewTransparent
AccessOpen
Submission: Always Open
Paper Title
Early Crop Disease Detection Using Image Processing And Monitoring And Controlling soil Moisture, Salinity and PH Using Sensor
Authors
Kavitha K K , Payal Jain C , Rupendra Pratap Singh , Nishant Kumar
Keywords
Raspberry pi, disease detection, soil moisture, salinity ,pH
Abstract
Nowadays many of the farmers and agro help center use the different new technology to enhance the agriculture production. Plants have become important source of energy. There are several diseases that affect plants with the potential to cause economic and social losses. Disease detection along with proper monitoring of soil moisture ,salinity and pH is very important for high yield and increasing the production. Thus, this paper provides the best method for detection of plant diseases using image processing and alerting about the disease caused by sending email. It also discusses about how the moisture of the soil, pH and salinity of water is monitored and controlled using soil moisture sensor, pH sensor and salinity sensor.
Full Paper, Downloads & Preview
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
"Early Crop Disease Detection Using Image Processing And Monitoring And Controlling soil Moisture, Salinity and PH Using Sensor", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.3, Issue 5, page no.307 - 313, May-2018, Available :https://ijrti.org/papers/IJRTI1805054.pdf
APA — 7th edition
K, K. K., C, P. J., Singh, R. P., & Kumar, N. (2018). Early Crop Disease Detection Using Image Processing And Monitoring And Controlling soil Moisture, Salinity and PH Using Sensor. International Journal for Research Trends and Innovation, 3(5), 307 - 313. https://ijrti.org/viewpaperforall.php?paper=IJRTI1805054
MLA — 9th edition
K, Kavitha K, et al. "Early Crop Disease Detection Using Image Processing And Monitoring And Controlling soil Moisture, Salinity and PH Using Sensor." International Journal for Research Trends and Innovation, vol. 3, no. 5, 2018, pp. 307 - 313, https://ijrti.org/viewpaperforall.php?paper=IJRTI1805054.
Chicago — 17th, bibliography
K, Kavitha K, et al. "Early Crop Disease Detection Using Image Processing And Monitoring And Controlling soil Moisture, Salinity and PH Using Sensor." International Journal for Research Trends and Innovation 3, no. 5 (2018): 307 - 313. https://ijrti.org/viewpaperforall.php?paper=IJRTI1805054.
Harvard — author–date
K, K.K. et al. (2018) 'Early Crop Disease Detection Using Image Processing And Monitoring And Controlling soil Moisture, Salinity and PH Using Sensor', International Journal for Research Trends and Innovation, 3(5), pp. 307 - 313. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI1805054
IEEE — numbered reference
K. K. K, P. J. C, R. P. Singh and N. Kumar, "Early Crop Disease Detection Using Image Processing And Monitoring And Controlling soil Moisture, Salinity and PH Using Sensor," IJRTI, vol. 3, no. 5, pp. 307 - 313, May. 2018.
Vancouver — biomedical
K KK, C PJ, Singh RP, Kumar N. Early Crop Disease Detection Using Image Processing And Monitoring And Controlling soil Moisture, Salinity and PH Using Sensor. IJRTI. 2018 May;3(5):307 - 313.
AMA — 11th edition
K KK, C PJ, Singh RP, Kumar N. Early Crop Disease Detection Using Image Processing And Monitoring And Controlling soil Moisture, Salinity and PH Using Sensor. IJRTI. 2018;3(5):307 - 313. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI1805054
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI1805054,
author = {Kavitha K K and Payal Jain C and Rupendra Pratap Singh and Nishant Kumar},
title = {Early Crop Disease Detection Using Image Processing And Monitoring And Controlling soil Moisture, Salinity and PH Using Sensor},
journal = {International Journal for Research Trends and Innovation},
volume = {3},
number = {5},
pages = {307 - 313},
year = {2018},
month = {May},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI1805054}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - K, Kavitha K
AU - C, Payal Jain
AU - Singh, Rupendra Pratap
AU - Kumar, Nishant
TI - Early Crop Disease Detection Using Image Processing And Monitoring And Controlling soil Moisture, Salinity and PH Using Sensor
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 3
IS - 5
PY - 2018
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI1805054
SP - 307
EP - 313
ER -
Issue
Volume 3 Issue 5,
May-2018
Pages : 307 - 313
Other Publication Details
Paper Reg. ID
IJRTI_180212
Published Paper ID
IJRTI1805054
Downloads
205,661
Research Area
Engineering
Country
Bangalore, Karnataka, India
Published
May 2018
Published Paper PDF
https://ijrti.org/papers/IJRTI1805054.pdf
Published Paper URL
https://ijrti.org/viewpaperforall.php?paper=IJRTI1805054
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.
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 10.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
UGC CARE Approved Journal — Transparent Peer-reviewed journal aligned with UGC’s 2025 suggestive parameters, with CrossRef DOI registration and Scopus Standard metadata on every published paper.
Licence
© 2018 — 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.
Disclaimer:
The content, data and findings in this article are based on the authors’ research and have been
peer-reviewed for academic purposes only. Readers are advised to verify all information before practical
or commercial use. The journal and its editorial board are not liable for any errors, losses or
consequences arising from its use.
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.
