FSAS: An IoT-Based Security System for Crop Field Storage
Internet of Things abstracts the ability to remotely associate and observe things or objects over the Internet. When it comes to agriculture, this idea has been incorporated to make agriculture-related tasks smart, secure, and automated. Agriculture is vital for economic growth and also for the surv...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-01-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | http://dx.doi.org/10.1155/2023/2367167 |
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| _version_ | 1832547350922395648 |
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| author | Chandra Prakash Anurag Barthwal Shwetank Avikal Gyanendra Kumar Singh |
| author_facet | Chandra Prakash Anurag Barthwal Shwetank Avikal Gyanendra Kumar Singh |
| author_sort | Chandra Prakash |
| collection | DOAJ |
| description | Internet of Things abstracts the ability to remotely associate and observe things or objects over the Internet. When it comes to agriculture, this idea has been incorporated to make agriculture-related tasks smart, secure, and automated. Agriculture is vital for economic growth and also for the survival of humans. Farmers living in rural areas of India face a common problem of the theft of equipment like induction motors from small storage houses meant for storing commodities in crop fields. In this study, we present a remote security management framework for monitoring the crop field storage house, known as the farm security alert system (FSAS). FSAS is a small, energy efficient, low cost, and accurate security management system that uses microcontroller-based passive infrared (PIR) sensor and global system for mobile communication (GSM) module to generate an alert to the farm owner if there is an intrusion event at the crop field store. The microcontroller board utilized in the proposed model is the Arduino Uno, and PIR motion sensor is used to recognize the intruder. In addition, FSAS also can be used for monitoring of induction motor by utilizing a similar arrangement of sensors. The sensor signal is transmitted to the cloud whenever the intruder is within the sensing range of the sensor node. Naive Bayes’ prediction model is used to identify the level of encroachment as no (green), mild (yellow), or high (red) threat. The status and the alarms can be received by the farm owners, either on their smartphones as application alerts or as a short message/phone call, at any distance, and independent of whether their cell phones are connected to the Internet. |
| format | Article |
| id | doaj-art-445c3cc5d1614116a6b966df1b29d443 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-445c3cc5d1614116a6b966df1b29d4432025-02-03T06:45:04ZengWileyInternational Journal of Distributed Sensor Networks1550-14772023-01-01202310.1155/2023/2367167FSAS: An IoT-Based Security System for Crop Field StorageChandra Prakash0Anurag Barthwal1Shwetank Avikal2Gyanendra Kumar Singh3Graphic Era UniversityDepartment of Computer Science & EngineeringSchool of Management SciencesMechanical Engineering DepartmentInternet of Things abstracts the ability to remotely associate and observe things or objects over the Internet. When it comes to agriculture, this idea has been incorporated to make agriculture-related tasks smart, secure, and automated. Agriculture is vital for economic growth and also for the survival of humans. Farmers living in rural areas of India face a common problem of the theft of equipment like induction motors from small storage houses meant for storing commodities in crop fields. In this study, we present a remote security management framework for monitoring the crop field storage house, known as the farm security alert system (FSAS). FSAS is a small, energy efficient, low cost, and accurate security management system that uses microcontroller-based passive infrared (PIR) sensor and global system for mobile communication (GSM) module to generate an alert to the farm owner if there is an intrusion event at the crop field store. The microcontroller board utilized in the proposed model is the Arduino Uno, and PIR motion sensor is used to recognize the intruder. In addition, FSAS also can be used for monitoring of induction motor by utilizing a similar arrangement of sensors. The sensor signal is transmitted to the cloud whenever the intruder is within the sensing range of the sensor node. Naive Bayes’ prediction model is used to identify the level of encroachment as no (green), mild (yellow), or high (red) threat. The status and the alarms can be received by the farm owners, either on their smartphones as application alerts or as a short message/phone call, at any distance, and independent of whether their cell phones are connected to the Internet.http://dx.doi.org/10.1155/2023/2367167 |
| spellingShingle | Chandra Prakash Anurag Barthwal Shwetank Avikal Gyanendra Kumar Singh FSAS: An IoT-Based Security System for Crop Field Storage International Journal of Distributed Sensor Networks |
| title | FSAS: An IoT-Based Security System for Crop Field Storage |
| title_full | FSAS: An IoT-Based Security System for Crop Field Storage |
| title_fullStr | FSAS: An IoT-Based Security System for Crop Field Storage |
| title_full_unstemmed | FSAS: An IoT-Based Security System for Crop Field Storage |
| title_short | FSAS: An IoT-Based Security System for Crop Field Storage |
| title_sort | fsas an iot based security system for crop field storage |
| url | http://dx.doi.org/10.1155/2023/2367167 |
| work_keys_str_mv | AT chandraprakash fsasaniotbasedsecuritysystemforcropfieldstorage AT anuragbarthwal fsasaniotbasedsecuritysystemforcropfieldstorage AT shwetankavikal fsasaniotbasedsecuritysystemforcropfieldstorage AT gyanendrakumarsingh fsasaniotbasedsecuritysystemforcropfieldstorage |