AI Driven Animal Farming and Livestock Management System

Innocent Kazembe*, Mtende Mkandawire**
*-** Department of Computer Science, DMI-St. John the Baptist University, Lilongwe, Malawi.
Periodicity:October - December'2024

Abstract

AI-Driven Animal Farming and Livestock Management System represents a pivotal advancement in agricultural technology, promising to revolutionize traditional farming practices by integrating Artificial Intelligence (AI) into livestock management. This abstract presents an overview of the system's multifaceted capabilities, emphasizing its role in guiding animal farmers towards optimal livestock care, enhancing marketing strategies, and offering a suite of advanced functionalities. At its core, this system employs sophisticated AI algorithms like Natural Language Processing (NLP) and Convolutional Neural Networks (CNNs) to provide personalized guidance to animal farmers, ensuring they adhere to best practices in livestock care. Through real-time monitoring and data analysis, the system offers actionable insights into nutrition, health, and reproduction management, thereby maximizing the well-being and productivity of livestock. Furthermore, the System incorporates innovative features tailored to streamline marketing efforts. By analyzing market trends, consumer preferences, and supply chain dynamics, the system enables farmers to make informed decisions regarding product positioning, pricing strategies, and distribution channels, thereby enhancing market competitiveness and profitability.

Keywords

Artificial Intelligence, Livestock Management, Disease Detection, Natural Language Processing, Convolutional Neural Networks, Market Competitiveness.

How to Cite this Article?

Kazembe, I., and Mkandawire, M. (2024). AI Driven Animal Farming and Livestock Management System. i-manager’s Journal on Software Engineering, 19(2), 31-36.

References

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