پولٹری فارمنگ میں آرٹیفیشل انٹیلی جینس کا کردار، بدرالنساء کو ایوارڈ سے نوازا گیا
Badar un Nisa received the award on best research presentation at Poultry Science Conference. This Conference was the part of International Poultry Expo 2023. She is working on the use of artificial intelligence in poultry farming (پولٹری میں آرٹیفیشل انٹیلی جینس). AI can diagnose poultry disease at early stage, she says. Utilization of machine learning, deep learning and data analytics can process and analyze different datasets.
Furthermore, we can combine AI algorithms with different data sources. These sources include sensor data and imaging data in addition to environmental factors. This can identify disease patterns and indicators at early stage. However, this will help the farmers to detect disease at early stage. Along with this, we can connect AI with Internet of Things (IoT) devices in addition to wireless sensor networks. Real-time data acquisition and analysis of this data will be possible.
Cooperation of stakeholders besides data sharing and data security in addition to other factors are some challenges for such system development.
AI Based Smart poultry farming system will make the monitoring of birds easy. Besides this, it will also improve and simplify the overall management. Early diagnosis will not only protect the birds, but also give economic benefits to the farmers. However, The addition of Artificial Intelligence in Poultry Industry will be a revolutionary intervention. Moreover, artificial intelligence in poultry farming will also impart economic and managemental impacts also.
Interest in Artificial Intelligence in Poultry
Badar un Nisa completed her basic education from the Government School of Lahore. Now she is student of MPhil Microbiology at UVAS. She is a professional graphic designer and freelancer. Her interest in IT turned her to AI. She is working to transform conventional microbiological working by integrating AI. Her research is on the diagnosis of Newcastle disease in poultry using a combination of microbiology and AI. Dr. Sohail Raza is her supervisor.