IFARMS: IOT BASED INTELLIGENT DRIP IRRIGATION AND INTRUDER DETECTION SYSTEM ON CLOUD

November 2017
Vol-3, Issue-6
Paper ID: 7038
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
IoT Sensors GPS Microcontroller Wi-Fi Camera.
Abstract
In India, the chief profession is the farming. Nearly all of the farming is led in the pastoral zones, but there is the deficiency of the accommodations and the obliviousness about the various new technologies and the devices, due to which peoples are wandering towards built-up areas. So, there is delinquent in agriculture. To conquer this issue, we go for brilliant farming methods utilizing IOT. This undertaking incorporates various highlights like GPS based remote checking, temperature detecting, dampness detecting, proper utilization of water in the homestead. It makes utilization of remote sensor systems for seeing the natural factors constantly Various sensor hubs are situated at better places in the homestead. Controlling these parameters with the help of any remote device or internet services and the operations are accepted by interfacing sensors, Wi-Fi, camera with microcontroller. The technique, Image processing is used for intruder’s detection persistence. Intruder detection is done by using camera as well as various algorithms. After detection of intruder, the suitable action is taken by system. Overall system in the field can absolutely help to progress the yield of the crops and overall production.

Author Information

# Name Institute / Affiliation
1 Jadhav Priyanka Ramdas P.D.E.A.'s college of Engineering Manjari(Bk), Pune
2 Shembade Kalyani P.D.E.A.'s college of Engineering Manjari(Bk), Pune
3 Pisal Samata P.D.E.A.'s college of Engineering Manjari(Bk), Pune
4 Budhwant Megha P.D.E.A.'s college of Engineering Manjari(Bk), Pune

How to Cite

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

APA Style
Ramdas, Jadhav Priyanka, Kalyani, Shembade, Samata, Pisal, & Megha, Budhwant (2017). IFARMS: IOT BASED INTELLIGENT DRIP IRRIGATION AND INTRUDER DETECTION SYSTEM ON CLOUD. International Journal of Advance Research and Innovative Ideas In Education, 3(6), 1433-1439.
MLA Style
Ramdas, Jadhav Priyanka, et al. "IFARMS: IOT BASED INTELLIGENT DRIP IRRIGATION AND INTRUDER DETECTION SYSTEM ON CLOUD." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 6, 2017, pp. 1433-1439.
IEEE Style
Jadhav Priyanka Ramdas, Shembade Kalyani, Pisal Samata, and Budhwant Megha, "IFARMS: IOT BASED INTELLIGENT DRIP IRRIGATION AND INTRUDER DETECTION SYSTEM ON CLOUD," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 6, pp. 1433-1439, 2017.
Vancouver Style
Ramdas Jadhav Priyanka, Kalyani Shembade, Samata Pisal, Megha Budhwant. IFARMS: IOT BASED INTELLIGENT DRIP IRRIGATION AND INTRUDER DETECTION SYSTEM ON CLOUD. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(6):1433-1439.
Harvard Style
Ramdas, Jadhav Priyanka, Kalyani, Shembade, Samata, Pisal, & Megha, Budhwant (2017) 'IFARMS: IOT BASED INTELLIGENT DRIP IRRIGATION AND INTRUDER DETECTION SYSTEM ON CLOUD', International Journal of Advance Research and Innovative Ideas In Education, 3(6), pp. 1433-1439.
Chicago Style
Ramdas, Jadhav Priyanka, et al. "IFARMS: IOT BASED INTELLIGENT DRIP IRRIGATION AND INTRUDER DETECTION SYSTEM ON CLOUD." International Journal of Advance Research and Innovative Ideas In Education 3, no. 6 (2017): 1433-1439.
Turabian Style
Ramdas, Jadhav Priyanka, et al. "IFARMS: IOT BASED INTELLIGENT DRIP IRRIGATION AND INTRUDER DETECTION SYSTEM ON CLOUD." International Journal of Advance Research and Innovative Ideas In Education 3, no. 6 (2017): 1433-1439.

Export Citation

Related Research

A Deep Learning-Based Framework for Mood-Oriented Music Recommendation Using Facial Expression Analysis
Vaibhav Ashok Bhangare et al. 2026 Computer Engineering
PDF Unavailable
Survey On : Intelligent Payroll and Human Resource Management Systems: A Systematic Review of Automation, Security, and Analytics
Vishakha Jadhav et al. 2026 Human Resource Management, Artificial Intelligence, Machine Learning, Payroll Systems, Cybersecurity, Business Intelligence, Robotic Process Automation, Employee Analytics, Digital Transforma
PDF Unavailable
Civic Engagement & Empowerment Platform
Supriya Dadaso Bankar et al. 2026 Computer engineering
PDF Unavailable
RAG System Development with Pydantic AI ChromaDB & Groq
Prof. Priyanka P. Kakade et al. 2026 Computer Engineering
PDF Unavailable
Machine Learning Based Early Stage Diabetes Detection System
Rohan Mulik et al. 2026 Computer Engineering
PDF Unavailable
A Survey on Skillsense:AI Career Analyzer App
Kirti Datir et al. 2026 Computer Engineering
PDF Unavailable
Employee Performance Portal
P.Harika et al. 2026 Computer science and engineering
PDF Unavailable