| 1 | Title of the Article | Approach of Image Processing in Diagnosis and Medication of Fungal Infections in Pet Animals |
| 2 | Author's name | Aarti Chugh: Assistant Professor, ASET, Amity University Haryana, Gurugram, India (e-mail: achugh@ggn.amity.edu) |
| 3 | Author's name | Priyanka Makkar, , Sourabh Aggarwal, Shriyansh Sharma, Yashwant Kumar Singh |
| 4 | Subject | Computer Science and Engineering |
| 5 | Keyword(s) | Disease Diagnosis Treatment Animal Pet Image Dataset Machine Learning Image processing. |
| 6 | Abstract | The focus of this paper is to design and develop the Artificial Intelligence and Machine Learning based system which detects the fungal infection on a pet animal (especially Dog and Cat), and provide the treatment for it. It also provides the causes, Symptoms, Prevention for it. The proposed system integrates on Machine Learning algorithm trained on disease dataset, it first detects the species of pet animal by capturing the image of fungal infection of pet by using camera or by uploading the image in the system from the file explorer, and then provide the diagnosis about the fungal disease and its medication and treatment also. Although our system will verify the scan image for determining the diseases in canine. Diagnosing the Fungal Infection on pet animal quickly and accurately has the economic effectiveness. |
| 7 | Publisher | Innovative Research Publication |
| 8 | Journal Name; vol., no. | International Journal of Innovative Research in Computer Science & Technology (IJIRCST); Volume-8 Issue-4 |
| 9 | Publication Date | July 2020 |
| 10 | Type | Peer-reviewed Article |
| 11 | Format | |
| 12 | Uniform Resource Identifier | https://ijircst.org/view_abstract.php?title=Approach-of-Image-Processing-in-Diagnosis-and--Medication-of-Fungal-Infections-in-Pet-Animals&year=2020&vol=8&primary=QVJULTUzMA== |
| 13 | Digital Object Identifier(DOI) | 10.21276/ijircst.2020.8.4.7 https://doi.org/10.21276/ijircst.2020.8.4.7 |
| 14 | Language | English |
| 15 | Page No | 290-293 |