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Harnessing the Power of Deep Learning to Save Animals
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 179 - Number 2 |
| Year of Publication: 2017 |
| Authors: B. V. S. Mridula, Padma Bonde |
10.5120/ijca2017915864
|
B. V. S. Mridula, Padma Bonde . Harnessing the Power of Deep Learning to Save Animals. International Journal of Computer Applications. 179, 2 ( Dec 2017), 9-11. DOI=10.5120/ijca2017915864
Abstract
During the last decade, AI has become the most important field for the researchers to provide a solutions for real world’s challenges, resulting in the new emerged field of deep learning which make the system more efficient and optimized .This paper discusses the expansion of deep learning towards the welfare of animal life considering ways to save them and monitoring their count and health conditions. Techniques like image classification and object detection can provide plethora of information that can assist in conducting study on various aspects by identifying and classifying these animal species from thousands of images captured by drones or cameras which could be very strenuous and tedious to be done by humans.
References
- Rekha Chahar, Priyanka Soni, “A Study of Image Processing in Agriculture for Detect the Plant Diseases”,IJCSMC vol. 4 , July 2015.
- Mohammed Sadegh Norouzzadeh, Anh Nguyen, Margaret Kosmala, Ali Swanson, Craig Packer, Jeff Clune “Automatically identifying wild animals in camera trap images with deep learning”.
- Frederic Mairea, Luis Mejiasa,b, Amanda Hodgsonc,Gwenael Duclos “Detection of Dugongs from Unmanned Aerial Vehicles”
- Snow Leopard Trust and Microsoft “Saving Snow Leopards with Deep Learning and Computer Vision on Spark”.
- Björn Lagerman and team “BeeScanning” project.
- World Animal Protection and Grassriots “Wildlife Selfie Code” project.
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