IOT BASED HYBRID SYSTEM FOR PRECISION AGRICULTURE MONITORING USING WSN INTO MODERN INFORMATION AND COMMUNICATION TECHNOLOGY(ICT)

April 2018
Vol-4, Issue-2
Paper ID: 7887
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
computer science and engineering
Keywords
IOT Smart controllers Precision Agricultural Monitoring sensors animal detection.
Abstract
Precision agriculture is the key to improve productivity and efficiency in the use of resources, thus helping to achieve this goal under the diverse challenges currently faced by agriculture mainly due to climate changes, land degradation, availability of farmable land, labor force shortage and increasing costs. To face these challenges, precision agriculture uses and develops sensing methodologies that provide information about the crop growth and health indicators. A decision support system based on the combination of the wireless sensor and actuation network technology to support the irrigation management in agriculture. The monitoring of agriculture precisely over a large scale is a challenging task. In this paper, an approach has been proposed for precision agriculture monitoring.

Author Information

# Name Institute / Affiliation
1 A.SANGEETHA panimalar engineering college
2 P.SARAH PRISELLA panimalar engineering college
3 G.POOVARASI panimalar engineering college
4 Mrs.kavitha subramani panimalar engineering college

How to Cite

Use the following formats to cite this article in your research.

APA Style
A.SANGEETHA, PRISELLA, P.SARAH, G.POOVARASI, & subramani, Mrs.kavitha (2018). IOT BASED HYBRID SYSTEM FOR PRECISION AGRICULTURE MONITORING USING WSN INTO MODERN INFORMATION AND COMMUNICATION TECHNOLOGY(ICT). International Journal of Advance Research and Innovative Ideas In Education, 4(2), 3116-3124.
MLA Style
A.SANGEETHA, et al. "IOT BASED HYBRID SYSTEM FOR PRECISION AGRICULTURE MONITORING USING WSN INTO MODERN INFORMATION AND COMMUNICATION TECHNOLOGY(ICT)." International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 2, 2018, pp. 3116-3124.
IEEE Style
A.SANGEETHA, P.SARAH PRISELLA, G.POOVARASI, and Mrs.kavitha subramani, "IOT BASED HYBRID SYSTEM FOR PRECISION AGRICULTURE MONITORING USING WSN INTO MODERN INFORMATION AND COMMUNICATION TECHNOLOGY(ICT)," International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 2, pp. 3116-3124, 2018.
Vancouver Style
A.SANGEETHA, PRISELLA P.SARAH, G.POOVARASI, subramani Mrs.kavitha. IOT BASED HYBRID SYSTEM FOR PRECISION AGRICULTURE MONITORING USING WSN INTO MODERN INFORMATION AND COMMUNICATION TECHNOLOGY(ICT). International Journal of Advance Research and Innovative Ideas In Education. 2018;4(2):3116-3124.
Harvard Style
A.SANGEETHA, PRISELLA, P.SARAH, G.POOVARASI, & subramani, Mrs.kavitha (2018) 'IOT BASED HYBRID SYSTEM FOR PRECISION AGRICULTURE MONITORING USING WSN INTO MODERN INFORMATION AND COMMUNICATION TECHNOLOGY(ICT)', International Journal of Advance Research and Innovative Ideas In Education, 4(2), pp. 3116-3124.
Chicago Style
A.SANGEETHA, et al. "IOT BASED HYBRID SYSTEM FOR PRECISION AGRICULTURE MONITORING USING WSN INTO MODERN INFORMATION AND COMMUNICATION TECHNOLOGY(ICT)." International Journal of Advance Research and Innovative Ideas In Education 4, no. 2 (2018): 3116-3124.
Turabian Style
A.SANGEETHA, et al. "IOT BASED HYBRID SYSTEM FOR PRECISION AGRICULTURE MONITORING USING WSN INTO MODERN INFORMATION AND COMMUNICATION TECHNOLOGY(ICT)." International Journal of Advance Research and Innovative Ideas In Education 4, no. 2 (2018): 3116-3124.

Export Citation

Related Research

CYBERSECURITY WITH AI
SAHANA MURTHY 2026 Computer Science
PDF Unavailable
A NOVEL HYBRID IMAGE STEGANOGRAPHY TECHNIQUE BASED ON LSB AND CRYPTOGRAPHIC SECURITY
Pankaj Nandan et al. 2026 Computer Science
PDF Unavailable
AnimalAid AI: A Deep Learning Powered Early Warning System for Detecting Skin Infections and Diseases in Stray Dogs
Sharan Subhas Savalagi et al. 2026 Computer Science and Engineering
PDF Unavailable
LiverCare AI: Intelligent Medical Imaging Platform for Liver Tumor Detection and Clinical Guidance
Sheshank et al. 2026 Computer Science and Engineering
PDF Unavailable