A SMART FARMLAND USING RASPBERRY PI CROP VANDALIZATION PREVENTION & INTRUSION DETECTION SYSTEM
Abstract & Details
Research Area
Electronics and Communication Engineering
Keywords
Protection
crop vandalization
animal ward-off
Dropbox
and RFID authorization.
Abstract
Crop vandalization by wild animals is a second major threat to the farmers, after drought. The aim of this project is to provide a smart solution to resolve this problem. This project is based on surveillance with an animal ward-off system employed in farmlands in order to prevent crop vandalization by wild animals. In addition to providing protection this system distinguishes between an intruder and an authorized person using RFID’s, various PIR sensors are deployed in the area to detect any motion and hence turns ON a camera when movement is detected, thereby providing real time monitoring. It involves automation of certain methods used to prevent the wild animals from entering the farmlands and destroying the crops, an electronic fire cracker (for bigger animals, like elephant) and a rotten egg spray (for smaller animals like wild pigs and deer) which have been found useful to ward off the wild animals, we use Haar feature based cascade classifiers for object detection to distinguish between the animal and human. When such intrusions occur, a message will be automatically generated and the cameras employed are turned ON which capture an image and start recording the video for some time which will be stored on the SD card as well as stored on cloud i.e, dropbox, the land owner can then view the video on any smart device, as well as access it later. All the sensors and components are interfaced to the Raspberry pi board. Hence we come up with such a product that can be very useful for farmers, it prevents the loss of crops and increases the yield, also protects the farm from intruders.
License
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Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Pooja G | Jain University, Bangalore |
| 2 | Mohmad Umair Bagali | Jain University, Bangalore |
How to Cite
Use the following formats to cite this article in your research.
APA Style
G, Pooja & Umair Bagali, Mohmad (2017). A SMART FARMLAND USING RASPBERRY PI CROP VANDALIZATION PREVENTION & INTRUSION DETECTION SYSTEM. International Journal of Advance Research and Innovative Ideas In Education, 1(5), 62-68.
MLA Style
G, Pooja, and Mohmad Umair Bagali. "A SMART FARMLAND USING RASPBERRY PI CROP VANDALIZATION PREVENTION & INTRUSION DETECTION SYSTEM." International Journal of Advance Research and Innovative Ideas In Education, vol. 1, no. 5, 2017, pp. 62-68.
IEEE Style
Pooja G and Mohmad Umair Bagali, "A SMART FARMLAND USING RASPBERRY PI CROP VANDALIZATION PREVENTION & INTRUSION DETECTION SYSTEM," International Journal of Advance Research and Innovative Ideas In Education, vol. 1, no. 5, pp. 62-68, 2017.
Vancouver Style
G Pooja, Umair Bagali Mohmad. A SMART FARMLAND USING RASPBERRY PI CROP VANDALIZATION PREVENTION & INTRUSION DETECTION SYSTEM. International Journal of Advance Research and Innovative Ideas In Education. 2017;1(5):62-68.
Harvard Style
G, Pooja & Umair Bagali, Mohmad (2017) 'A SMART FARMLAND USING RASPBERRY PI CROP VANDALIZATION PREVENTION & INTRUSION DETECTION SYSTEM', International Journal of Advance Research and Innovative Ideas In Education, 1(5), pp. 62-68.
Chicago Style
G, Pooja and Mohmad Umair Bagali. "A SMART FARMLAND USING RASPBERRY PI CROP VANDALIZATION PREVENTION & INTRUSION DETECTION SYSTEM." International Journal of Advance Research and Innovative Ideas In Education 1, no. 5 (2017): 62-68.
Turabian Style
G, Pooja and Mohmad Umair Bagali. "A SMART FARMLAND USING RASPBERRY PI CROP VANDALIZATION PREVENTION & INTRUSION DETECTION SYSTEM." International Journal of Advance Research and Innovative Ideas In Education 1, no. 5 (2017): 62-68.
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