Application of Machine Learning in Agriculture and Livestock Production
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.
Intellectual climate Fund
- School of Life Sciences