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Application of Machine Learning in Agriculture and Livestock Production

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posted on 15.12.2021, 22:31 authored by saleh shahinfar, Fazel AlmasiFazel Almasi

Machine learning is the field of study that gives computers the ability to learn from data without being explicitly programmed (Arthur Samuel, AI pioneer, 1959).

Today, applications of machine learning are everywhere and are increasingly growing. Machine learning approaches don’t require any assumption about the distribution of data. They are very robust to missing values and outliers and are performing well in non-linear systems where complex relationships exist between predictor features and the outcome.

In this introductory lecture, we aim to introduce a few machine learning methods and briefly show their applications in agriculture and livestock production.


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Funding

Intellectual climate Fund

History

School

  • School of Life Sciences

Publication Date

16/12/2021

Rights Statement

The Author reserves all moral rights over the deposited text and must be credited if any re-use occurs.