Application of artificial intelligence and machine learning in poultry disease detection and diagnosis: A review: AI and Machine learning in poultry disease diagnosis

Arnab Jyoti Kalita; Mirash Subba; Sheikh Adil; Manzoor A  Wani; Yasir Afzal Beigh; Majid Shafi

doi:10.62310/liab.v5i1.155

Authors

Arnab Jyoti Kalita Faculty of Veterinary Science & Animal Husbandry, Shuhama, Sher-e-Kashmir University of Agriculture Sciences & Technology - Kashmir, Srinagar - 190006, India https://orcid.org/0009-0004-7904-8548
Mirash Subba Faculty of Veterinary Science & Animal Husbandry, Shuhama, Sher-e-Kashmir University of Agriculture Sciences & Technology - Kashmir, Srinagar - 190006, India
Sheikh Adil Faculty of Veterinary Science & Animal Husbandry, Shuhama, Sher-e-Kashmir University of Agriculture Sciences & Technology - Kashmir, Srinagar - 190006, India https://orcid.org/0000-0003-0871-1133
Manzoor A Wani Faculty of Veterinary Science & Animal Husbandry, Shuhama, Sher-e-Kashmir University of Agriculture Sciences & Technology - Kashmir, Srinagar - 190006, India
Yasir Afzal Beigh Faculty of Veterinary Science & Animal Husbandry, Shuhama, Sher-e-Kashmir University of Agriculture Sciences & Technology - Kashmir, Srinagar - 190006, India https://orcid.org/0000-0002-2814-9179
Majid Shafi Faculty of Veterinary Science & Animal Husbandry, Shuhama, Sher-e-Kashmir University of Agriculture Sciences & Technology - Kashmir, Srinagar - 190006, India

DOI:

https://doi.org/10.62310/liab.v5i1.155

Keywords:

Artificial intelligence, Disease diagnosis, Machine learning, Poultry

Abstract

The poultry population has increased exponentially from 13.9 billion in the early 21st century to 26.56 billion by 2022 worldwide, emphasizing the vital nutritional and economic part of this section. Simultaneously, the poultry sector faces a considerable amount of tests from diseases such as avian influenza, coccidiosis, mycoplasmosis, etc. that cost the industry multibillion-dollar losses each year. The groundbreaking and revolutionary possibilities of artificial intelligence and machine learning in poultry disease detection and diagnosis are discussed in this review. By capitalizing on data from physiological and behavioral traits like movement, vocalization, body temperature, and excreta, AI algorithms can detect indications of illness and pathological conditions, which means strengthening disease management and bringing down economic losses. High-precision image and video processing, non-invasive monitoring, the use of thermal imaging, and accurate tracking of poultry to spot health issues are some of the crucial developments that have also aided in analyzing stress and other abnormalities. Incorporating new-age technologies into feasible, applicable, and economical diagnostic tools that have the potential to transform poultry well-being, enhance the welfare of poultry, and upgrade production as well as handling processes is discussed here. The upcoming prospects include global partnerships, better data analytics, and extended research or studies for the management of diseases and behavioral anomalies in all poultry species. The collaboration of AI, machine learning, and biotechnology holds colossal promise for the poultry sector, guaranteeing food safety and ensuring public health.

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