Smart incubator for empowering poultry farmers by maximizing egg hatching success

Author:

Edgar Macalane1,Bridget Chikafa1,Mtemwengi Kamtsokwe1,Glorindal G.1

Affiliation:

1. DMI St John the Baptist University

Abstract

The poultry industry plays a vital role in ensuring the global food supply, and efficient egg incubation is crucial for successful poultry farming. Traditional egg incubation methods have relied on manual monitoring and control, resulting in suboptimal hatch rates and increased labor requirements. However, the emergence of smart technologies has revolutionized the field of egg incubation, leading to the development of the Smart Egg Incubation System. The Smart Egg Incubation System integrates advanced technology, such as the Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning (ML), to optimize the incubation process and enhance hatch rates. The system employs a network of sensors to monitor and collect real-time data on temperature, humidity, egg turning, and ventilation within the incubation environment. This paper also proposes a commercial incubators website that will help to market incubators available for companies and hold their company profiles, where customers will tend to explore what they need pertaining to incubators and egg incubator accessories, helping to meet the needs of local farmers. This will help small enterprises to grow and get affordable incubators and accessories to eliminate the distance in business affairs for both local farms and big farms. An AI chatbot will also be available specifically designed to assist farmers in monitoring and managing chicken incubators effectively. The chatbot aims to provide real-time information and support to farmers, addressing their needs related to purchasing incubators, understanding incubator capacities, hatching periods, and addressing miscellaneous questions. The AI chatbot acts as a reliable virtual assistant, offering farmers guidance on where to purchase suitable incubators tailored to their specific requirements. By analyzing a comprehensive database of reputable suppliers and their offerings, the chatbot offers recommendations based on factors such as incubator size, cost, features, and customer reviews.

Publisher

i-manager Publications

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