Author(s) :

Ibrahim Zahid, Muhammad Ahmad Afzal, Nouman Tariq, Muhammad Hassan, Mariyam Ijaz, Muhammad Asad Ashraf .

Volume/Issue :

Abstract :

This article analyzes how artificial intelligence (AI) techniques help farmers detect diseases at the early stages and also help them provide accurate diets tailored to their breed, behavioral, emotional needs, and age. AI techniques, machine learning (ML), deep learning, and computer vision (CV) have helped farmers predict diseases and diet. Convolutional Neural Network (CNN) has been proven to be the best for predicting age and diseases because it excels at analyzing images and videos. On the other hand, the Internet of Things (IOT) has been proven to be the best for collecting and processing animal data. Also, the Artificial Neural Network (ANN) has proved to be very helpful because it can accurately suggest to farmers how a significant change in diet can affect the animals' growth or health. Marketing trends revolving around animal nutrition and farms, along with their market statistics and future goals, are also discussed in the paper. So, AI is helping farmers not just today, but will also help them in the future to increase efficiency in animal farming. Modern AI will be essential for animal farms to boost growth and production.

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