Читать книгу The Digital Agricultural Revolution - Группа авторов - Страница 22

Regression methods, such as linear and logistic regression, are used to understand data relationships. Independent variables are used to predict the value of a dependent variable using linear regression. When the dependent variable is binary, such as x or y, logistic regression can be employed. The dependency of crop yield overirrigation and fertilization is an example of linear regression. Using temperature, nitrogen, phosphorous, and potassium content in the soil, rainfall, pH of the soil as independent variables; yield can be forecasted using multiple regression.