Page 36 - Emerging Trends and Innovations in Web-Based Applications and Technologies

International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
Overall, these findings validate the effectiveness of the [4] Tao Liu and Wei Fan. "Smart Technologies for
system in being able to modernise veterinary care with Livestock Monitoring: A Comprehensive Review."
digital innovations and data-driven insights. The few Journal of Smart Farming and Veterinary Applications,
misclassifications (false positives and negatives) serve as vol. 7, no. 4, 2020, pp. 120–140.
areas for further refinement and optimization to achieve [5] Naoko Kimura, Rodrigo Baptista, and Elizabeth White.
near-perfect accuracy.
"Big Data Applications in Veterinary Medicine."
VI. CONCLUSION Journal of Veterinary Data Science, vol. 5, no. 1, 2023,
In this study, the developed Smart Animal Care empowers pp. 15–35.
modern veterinary diagnostics and treatment solutions. [6]
Through progressive digital data management and Antonio Cedazo-Minguez and Bengt Winblad. "The
Role of IoT and AI in Revolutionizing Livestock
predictive analytics, the system effectively tackled some of
Management." Advances in Veterinary Technology,
the critical points of traditional veterinary care, resulting in
vol. 12, no. 3, 2022, pp. 89–115.
high diagnostic precision and operational efficiency.
[7] Bilal Alatas and Saeid Moradi. "Real-Time Monitoring
Classifying and monitoring health conditions in animals in
real time can have major implications in how better of Animal Health Using IoT." Veterinary Technology
Journal, vol. 9, no. 1, 2023, pp. 30–50.
treatment outcomes and delays can be reduced. The
scalability and flexibility offered here means that it is [8] Michael Johnson, Patricia White, and Thomas Carter.
amenable to a wide range of veterinary applications. With "Wearable Technology in Veterinary Medicine:
accuracy reaching 93.6%, precision of 0.89, and recall of Current Trends and Future Directions." Journal of
0.86, the results further confirm the potential of the system Agricultural and Biological Sciences, vol. 18, no. 4,
in transforming the field of animal healthcare. 2020, pp. 134–157.
The next step would be to improve the model with advanced [9] Usha Kosarkar, Gopal Sakarkar, Shilpa Gedam (2022),
machine learning techniques, such as deep learning, and to “An Analytical Perspective on Various Deep Learning
include more comprehensive datasets from varying Techniques for Deepfake Detection”, 1 International
st
demographic backgrounds and different health records. All Conference on Artificial Intelligence and Big Data
th
th
these measures will go a long way in evolving the Smart Analytics (ICAIBDA), 10 & 11 June 2022, 2456-
Animal Care system to be a centrepiece of evolution in 3463, Volume 7, PP. 25-30,
veterinary medicine while delivering superior health https://doi.org/10.46335/IJIES.2022.7.8.5
outcomes and operational efficiencies across the ecosystem.
[10] Usha Kosarkar, Gopal Sakarkar, Shilpa Gedam (2022),
VII. FUTURE SCOPE “Revealing and Classification of Deepfakes Videos
The Smart Animal Care system is so full of potential for Images using a Customize Convolution Neural
development and innovative growth. They can be advanced Network Model”, International Conference on Machine
in future their integration with real time health monitoring Learning and Data Engineering (ICMLDE), 7 & 8
th
th
using IoT capabilities enabling devices to monitor animal September 2022, 2636-2652, Volume 218, PP. 2636-
vital signs and behaviour continuously. Incorporating the 2652, https://doi.org/10.1016/j.procs.2023.01.237
rare and regional diseases in the dataset will enhance the [11]
adaptability and accuracy of system across the wide variety Usha Kosarkar, Gopal Sakarkar (2023), “Unmasking
of veterinary contexts. Deep Fakes: Advancements, Challenges, and Ethical
Considerations”, 4 International Conference on
th
th
Furthermore, the integration of sophisticated machine Electrical and Electronics Engineering (ICEEE),19 &
learning algorithms will enhance diagnostic accuracy and 20 August 2023, 978-981-99-8661-3, Volume 1115,
th
facilitate predictive modelling for long-term PP. 249-262, https://doi.org/10.1007/978-981-99-
prognostication. This can be adapted to global veterinary 8661-3_19
standards, which guarantees its capability & widely accepted, [12] Usha Kosarkar, Gopal Sakarkar, Shilpa Gedam (2021),
and its utilization can be also support in more than one
“Deepfakes, a threat to society”, International Journal
language. This will cement the position of the Smart Animal of Scientific Research in Science and Technology
Care system as a game-changing solution in the field of th
modern veterinary medicine. (IJSRST), 13 October 2021, 2395-602X, Volume 9,
Issue 6, PP. 1132-1140,
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