Advancing Poultry Nutrition: AI Innovations for Sustainable Nutrient Requirements of Poultry: A Review

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Authors: Ahmed A. A. Abdel-Wareth, Ahmed Abdelmoamen Ahmed
Cited by: 3
References: 45

Abstract

The poultry sector plays a crucial role in global food production by meeting the growing demand for affordable, nutritious protein sources. However, it faces significant challenges in providing sustainable and cost-effective nutritional solutions that improve poultry health, performance, and product quality. Recent advancements in artificial intelligence (AI) have the potential to enhance poultry nutrition through the development of precise feeding strategies. AI helps monitor and optimize nutrient intake, thereby boosting feed efficiency, reducing waste, and lowering costs. This article examines how AI-driven innovations may advance the management of poultry feed ingredients, nutrient monitoring, and dietary formulations. By utilizing AI tools such as machine learning algorithms and real-time data analytics, poultry producers can track and assess the nutritional needs of individual birds. This allows for the development of more precise feed formulations tailored to the specific needs of different age groups, breeds, and environmental conditions. These AI technologies help select the best feed ingredients and enable precise adjustments to nutrient composition. This results in healthier birds, better feed conversion rates, and higher-quality poultry products. Additionally, AI advancements help reduce the environmental impact of poultry farming by reducing feed waste and resource consumption. This article highlights how AI-driven insights enhance decision-making, enabling the poultry industry to grow sustainably while promoting animal welfare, increasing efficiency, and producing high-quality poultry products that meet consumer expectations for both sustainability and nutritional value.

Fields of Study & Subjects

Animal Nutrition and Physiology Agriculture Sustainability and Environmental Impact Innovations in Aquaponics and Hydroponics Systems

Publication details

Journal / source
Agriculture
Publisher
MDPI AG
Volume
16
Issue
4
Pages
450–450
Publication date
14 February 2026
Language
EN