IOT Based Onion Preservation System
Utkarsha SulakheStudent, B.E., E & TC Engineering, All India Shri Shivaji Memorial Society's Institute of Information Technology, Pune, Maharashtra, IndiaSangram PharateStudent, B.E., E & TC Engineering, All India Shri Shivaji Memorial Society's Institute of Information Technology, Pune, Maharashtra, IndiaAvinash karaleStudent, B.E., E & TC Engineering, All India Shri Shivaji Memorial Society's Institute of Information Technology, Pune, Maharashtra, IndiaSugat PawarAsst. Prof., E & TC Engineering, All India Shri Shivaji Memorial Society's Institute of Information Technology, Pune, Maharashtra, India
Vol 5 No 5 (2021): Volume 5, Issue 5, May 2021 | Pages: 129-131
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 28-05-2021
doi.org/10.47001/IRJIET/2021.505024
Abstract
Internet of Things plays a vital role in smart agriculture monitoring system. Smart farming is an emerging concept, because IoT sensors are capable of providing information about their fields. Wireless Sensor Networks are performing a key role in different applications such as healthcare, agriculture, environment monitoring, home automation. Monitoring environmental factors is the major factor to improve the yield of the crops. The main feature of this paper is monitoring temperature and humidity in agricultural field. This monitoring is done by using sensors and sending the message to the farmer. The main purpose of paper is to propose a grid system onion storage methodology which will help to reduce onion degradation due to temperature and humidity. If in the storage of onions, one of the onion starts degradation then this system will send the message to the farmer. This will help to improve yield better quality onion and save the farmers from the major economic loss.
Keywords
Wireless Sensors Network, Sensors, Climate, Agricultural Productivity, Internet of Things
Citation of this Article
Utkarsha Sulakhe, Sangram Pharate, Avinash karale, Sugat Pawar, “IOT Based Onion Preservation System” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 5, pp 129-131, May 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.505024
Licence
Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology
This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
References
- Md. Tahmid Shakoor, Karishma Rahman, Sumaiya Nasrin Rayta, Amitabha Chakrabarty, “Agricultural Production Output Prediction Using Supervised Machine Learning Techniques”, IEEE, 2017.
- S.Veenadhari, Dr. Bharat Misra, Dr.CD Singh, “Machine learning approach for forecasting crop yield based on climatic parameters”, International Conference on Computer Communication and Informatics (ICCCI -2014), Jan. 03 -05, 2014.
- Nishit Jain, Amit Kumar, Sahil Garud, Vishal Pradhan, Prajakta Kulkarni, “Crop Selection Method Based on Various Environmental Factors Using Machine Learning”, International Research Journal of Engineering and Technology (IRJET), Volume: 04 Issue: 02, Feb -2017.
- R. Nageswara Rao, B.Sridhar,” Iot Based Smart Crop-Field Monitoring and Automation Irrigation System”, IEEE Second International Conference on Inventive Systems and Control (ICISC), 2018.
- EkataGhadage, VibhavariKharate, Parnika Mane, SamruddhiPimpale,” Smart Irrigation and Crop Planning System:using Arduino Microcontroller”, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 6, Issue 1, January 2017,DOI 10.17148/IJARCCE.2017.6186.
- Md. Tahmid Shakoor, Karishma Rahman, Sumaiya Nasrin Rayta, Amitabha Chakrabarty, “Agricultural Production Output Prediction Using Supervised Machine Learning Techniques”, IEEE, 2017.
- S.Veenadhari, Dr. Bharat Misra, Dr.CD Singh, “Machine learning approach for forecasting crop yield based on climatic parameters”, International Conference on Computer Communication and Informatics (ICCCI -2014), Jan. 03 -05, 2014.
- Nishit Jain, Amit Kumar, Sahil Garud, Vishal Pradhan, Prajakta Kulkarni, “Crop Selection Method Based on Various Environmental Factors Using Machine Learning”, International Research Journal of Engineering and Technology (IRJET), Volume: 04 Issue: 02, Feb -2017.