Call for Papers:Vol.11 Issue.4

Submission
Last date		 28-Aug-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-4. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  FPGA BASED REAL TIME MONITORING SYSTEM FOR AGRICULTURAL FIELD
PaperId: :  5594
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 3 2017
DUI:    16.0415/IJARIIE-5594
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
PRERANA SARWADEMMIT, LOHEGAON
NEETA SHINDEMMIT, LOHEGAON
SHWETA TINGREMMIT, LOHEGAON

Abstract

E & TC
carbon dioxide, greenhouse, agricultural, wireless sensor network
The most important factors for the quality and productivity of plant growth are temperature, humidity, light and the level of the carbon dioxide. Continuous monitoring of these environmental variables gives information to the grower to better understand, how each factor affects growth and how to manage maximal crop productiveness. The optimal greenhouse climate adjustment can enable us to improve productivity and to achieve remarkable energy savings - especially during the winter in northern countries. In past couple of decades, there is immediate growth in field of agricultural technology. Utilization of proper method of irrigation by drip is very reasonable and proficient. A various drip irrigation methods have been proposed, but they have been found to be very luxurious and dense to use. The farmer has to maintain watch on irrigation schedule in the conventional drip irrigation system, which is different for different types of crops. In remotely monitored embedded system for irrigation purposes have become a new essential for farmer to accumulate his energy, time and money and will take place only when there will be requirement of water. In this approach, the soil test for chemical constituents, water content, and salinity and fertilizer requirement data collected by wireless and processed for better drip irrigation plan. This reviews different monitoring systems and proposes an automatic monitoring system model using Wireless Sensor Network (WSN) which helps the farmer to improve the yield Real-time monitoring provides reliable, timely information of crop and soil status, important in taking decisions for crop production improvement. The contribution of this research is the development of a real-time remote monitoring system that acquires data from any kind of sensor to be transmitted by radiofrequency to a computer with an interface module. This allows the sensing of large area fields with a system capable of monitoring crop local environmental or physiological status; the data transmission and storage in the computer is made in real-time. To design this device, the system on a chip approach was followed. Implementation was done in a field programmable gate array, which ensures a low cost.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE PRERANA SARWADE, NEETA SHINDE, and SHWETA TINGRE. "FPGA BASED REAL TIME MONITORING SYSTEM FOR AGRICULTURAL FIELD" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 3 2017 Page 2766-2774
MLA PRERANA SARWADE, NEETA SHINDE, and SHWETA TINGRE. "FPGA BASED REAL TIME MONITORING SYSTEM FOR AGRICULTURAL FIELD." International Journal Of Advance Research And Innovative Ideas In Education 3.3(2017) : 2766-2774.
APA PRERANA SARWADE, NEETA SHINDE, & SHWETA TINGRE. (2017). FPGA BASED REAL TIME MONITORING SYSTEM FOR AGRICULTURAL FIELD. International Journal Of Advance Research And Innovative Ideas In Education, 3(3), 2766-2774.
Chicago PRERANA SARWADE, NEETA SHINDE, and SHWETA TINGRE. "FPGA BASED REAL TIME MONITORING SYSTEM FOR AGRICULTURAL FIELD." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 3 (2017) : 2766-2774.
Oxford PRERANA SARWADE, NEETA SHINDE, and SHWETA TINGRE. 'FPGA BASED REAL TIME MONITORING SYSTEM FOR AGRICULTURAL FIELD', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 3, 2017, p. 2766-2774. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/FPGA_BASED_REAL_TIME_MONITORING_SYSTEM_FOR_AGRICULTURAL_FIELD_ijariie5594.pdf (Accessed : ).
Harvard PRERANA SARWADE, NEETA SHINDE, and SHWETA TINGRE. (2017) 'FPGA BASED REAL TIME MONITORING SYSTEM FOR AGRICULTURAL FIELD', International Journal Of Advance Research And Innovative Ideas In Education, 3(3), pp. 2766-2774IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/FPGA_BASED_REAL_TIME_MONITORING_SYSTEM_FOR_AGRICULTURAL_FIELD_ijariie5594.pdf (Accessed : )
IEEE PRERANA SARWADE, NEETA SHINDE, and SHWETA TINGRE, "FPGA BASED REAL TIME MONITORING SYSTEM FOR AGRICULTURAL FIELD," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 3, pp. 2766-2774, May-Jun 2017. [Online]. Available: http://ijariie.com/AdminUploadPdf/FPGA_BASED_REAL_TIME_MONITORING_SYSTEM_FOR_AGRICULTURAL_FIELD_ijariie5594.pdf [Accessed : ].
Turabian PRERANA SARWADE, NEETA SHINDE, and SHWETA TINGRE. "FPGA BASED REAL TIME MONITORING SYSTEM FOR AGRICULTURAL FIELD." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 3 ().
Vancouver PRERANA SARWADE, NEETA SHINDE, and SHWETA TINGRE. FPGA BASED REAL TIME MONITORING SYSTEM FOR AGRICULTURAL FIELD. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : ]; 3(3) : 2766-2774. Available from: http://ijariie.com/AdminUploadPdf/FPGA_BASED_REAL_TIME_MONITORING_SYSTEM_FOR_AGRICULTURAL_FIELD_ijariie5594.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Implementation of Solar Based Irrigation Systems for Optimizing Agricultural EfficiencyElectronic and Telecommunication EngineeringPrajwal Aniruddha Deshpande Download
A CLOUD BAESD TRAFFIC MANAGEMENT SYSTEMELECTRONICS & TELECOMMUNICATION ENGINEERINGRUSHIKESH SAWANT Download
Performance Evaluation of a Robotic Child Rescue System for Borewell ApplicationsElectronics and telecommunication engineeringRohan Tathe Download
IoT Based Bank Security SystemE&TC EngineeringAjay Mishra Download
A Secure and Efficient Voice-Controlled Home Automation System Using ESP32 and Web APIsElectronics and telecommunication EngineeringPrathmesh Mane Download
A smart vehicle for farming taskElectronics and TelecommunicationChaitali Panduramg Kankate Download
SOLAR WIRELESS ELECTRIC VEHICLE USING CHARGING SYSTEMElectronic and communication Hima J Download
Literature Review on Fibre Bragg Grating Sensors: Principles, Fabrication Techniques, Applications, and Future ProspectsElectronics and Communication Engineering Yashaswini D Download
Literature Survey on Smart Optical Fiber based Respiratory Monitoring systemElectronics and communication engineering Sai Priyanka A M Download
An loT Based Novel Approach to Health Emergency Management Through Real-Time Data Acquisition and AnalysisHealth sectorDr Siddesh G K Download
DESIGN AND DEVELOPMENT OF RIVER SURFACE CLEANING ROBOT USING IOTElectronics and communication engineeringBALAJI B R Download
A Solar Powered Wireless Power Transfer for Electric Vehicle (EV) ChargingElectronics and Communication EngineeringDr. Siddesh G K Download
AI-XRAY: AUTOMATED LUNG CANCER AND PNEUMONIA DETECTIONElectronics and communication engineeringYASHASWINI H M Download
Predictive Health Monitoring for Proactive Public Safety and ManagementElectronics and Communication EngineeringROOPA G D Download
IMPROVING BRAIN CANCER DETECTION THROUGH AI DRIVEN OBJECT RECOGNAISATIONElectronic and communication Parvathi CM Download
12