Systematic Storage Management System for Eco Friendly Agriculture Using IoT


Authors : Ameerpeta Srinidhi; Achana Ashwini; Banda Saketh; S M K M Abbas Ahmad

Volume/Issue : Volume 10 - 2025, Issue 4 - April


Google Scholar : https://tinyurl.com/3aspp8xn

Scribd : https://tinyurl.com/4n6c5sf2

DOI : https://doi.org/10.38124/ijisrt/25apr813

Google Scholar

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Note : Google Scholar may take 15 to 20 days to display the article.


Abstract : Efficient storage of harvested crops true is a key to reduce post-harvest losses and guarantee a good quality on the food, whereas traditional storage systems generally are not equipped to dynamically control environmental conditions. This paper proposes a Systematic Storage Management System (SSMS) to eco-agriculture base on Internet of Things (IoT) to realize the automation of monitoring and controlling of storage key parameter. The proposed system combines temperature, humidity and gas sensors with microcontroller, and Wi-Fi/LoRa/ZigBee wireless communication modules, permitting real time data acquisition and remote access via cloud platform. Farmaers can view storage conditions control remotely, get alerts in real time ,manage control parameters via web & mobile based user interface. Given a 7-day experiment, it was proven that the system was able to maintain temperature and humidity at optimal ranges, control ventilation itself depending on the gas concentration, and save up to 20% of energy consumption compared to the traditional solutions. The modular, scaleable design makes the system versatile for variety of agricultural storage application, aiding to Increased sustainability, Reduced spoilage and better food security.

Keywords : Smart Agriculture, IoT, Storage Management, Environmental Monitoring, Eco-Friendly Farming, Wireless Sensor Network, Cloud Analytics, Precision Agriculture, Energy Efficiency, Post-Harvest Technology.

References :

  1. Singh and J. Singh, "Transformative Potential of IoT for Developing Smart Agriculture System: A Systematic Review," 2023 4th International Conference on Communication, Computing and Industry 6.0 (C216), Bangalore, India, 2023, pp. 1-6, doi: 10.1109/C2I659362.2023.10430789.
  2. D. R. Sharma, V. Mishra and S. Srivastava, "Enhancing Crop Yields through IoT-Enabled Precision Agriculture," 2023 International Conference on Disruptive Technologies (ICDT), Greater Noida, India, 2023, pp. 279-283, doi: 10.1109/ICDT57929.2023.10151422.
  3. S. R. Nandurkar, V. R. Thool and R. C. Thool, "Design and Development of Precision Agriculture System Using Wireless Sensor Network", IEEE International Conference on Automation Control Energy and Systems (ACES), 25.
  4. Kapoor, S.I. Bhat, S. Shidnal and A Mehra, "Implementation of IoT (Internet of Things) and image processing in smart agriculture", 2016 International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS), pp. 21-26, 2016.
  5. Ibrahim Mat, Mohamed Rawidean Mohd Kassim, Ahmad Nizar Harun and Ismail Mat Yusoff, "IoT in Precision Agriculture Applications Using Wireless Moisture Sensor Network", 2016 IEEE Conference on Open Systems (ICOS), October 10-12, 2016.
  6. Nikesh Gondchawar and R.S. Kawitkar, "IoT Based Smart Agriculture", International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), vol. 5, June 2016.
  7. Keoma Brun-Laguna, Ana Laura Diedrichs, Javier Emilio Chaar, Diego Dujovne, Juan Carlos Taffernaberry, Gustavo Mercado, et al., A Demo of the PEACH IoT-based Frost Event Prediction System for PrecisionAgriculture, IEEE, 2016.
  8. Carlos Cambra, Sandra Sendra, Jaime Lloret and Laura Garcia, "An IoT service-oriented system for Agriculture Monitoring", IEEE ICC 2017 SAC Symposium Internet of Things Track.
  9. J. Stewart, R. Stewart and S Kennedy, "Internet of things — propagation modeling for precision agriculture applications", 2017 Wireless Telecommunications Symposium (WTS), pp. 1-8, 2017.
  10. Lavric, A. I. Petrariu and V. Popa, "Long range SigFox communication protocol scalability analysis under large-scale high-density conditions", IEEE Access, vol. 7, pp. 35816-35825, 2019.
  11. R. Mohanraj and M Rajkumar, "IoT-Based Smart Agriculture Monitoring System Using Raspberry Pi", International Journal of Pure and Applied Mathematics, vol. 119, no. 12, pp. 1745-1756, 2018.
  12. Farghaly Moussa, "IoT-Based Smart Irrigation System for Agriculture", Journal of Sensors and Actuator Networks, vol. 8, no. 4, pp. 1-15, 2019.
  13. Panchal and P Mane, "IoT-Based Monitoring System for Smart Agriculture", International Journal of Advanced Research in Computer Science, vol. 11, no. 2, pp. 107-111, 2020.
  14. P Mane, "IoT-Based Smart Agriculture: Applications and Challenges", International Journal of Advanced Research in Computer Science, vol. 11, no. 1, pp. 1-6, 2020.
  15. H Shah, "IoT-Based Smart Farming for Enhancing Agricultural Productivity", Journal of Agricultural Informatics, vol. 12, no. 1, pp. 1-18, 2021.

Efficient storage of harvested crops true is a key to reduce post-harvest losses and guarantee a good quality on the food, whereas traditional storage systems generally are not equipped to dynamically control environmental conditions. This paper proposes a Systematic Storage Management System (SSMS) to eco-agriculture base on Internet of Things (IoT) to realize the automation of monitoring and controlling of storage key parameter. The proposed system combines temperature, humidity and gas sensors with microcontroller, and Wi-Fi/LoRa/ZigBee wireless communication modules, permitting real time data acquisition and remote access via cloud platform. Farmaers can view storage conditions control remotely, get alerts in real time ,manage control parameters via web & mobile based user interface. Given a 7-day experiment, it was proven that the system was able to maintain temperature and humidity at optimal ranges, control ventilation itself depending on the gas concentration, and save up to 20% of energy consumption compared to the traditional solutions. The modular, scaleable design makes the system versatile for variety of agricultural storage application, aiding to Increased sustainability, Reduced spoilage and better food security.

Keywords : Smart Agriculture, IoT, Storage Management, Environmental Monitoring, Eco-Friendly Farming, Wireless Sensor Network, Cloud Analytics, Precision Agriculture, Energy Efficiency, Post-Harvest Technology.

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe