17、Support Vector Machine for Greenhouse Plant Monitoring

Support Vector Machine for Greenhouse Plant Monitoring

1. Introduction to Support Vector Machines (SVM)

Support Vector Machines (SVM) are powerful supervised learning algorithms used for classification and regression tasks. In the context of greenhouse plant monitoring, SVMs provide a robust framework for analyzing complex datasets, especially when dealing with non-linear relationships and high-dimensional data. This article delves into how SVMs can be effectively utilized to monitor greenhouse plants, focusing on the application of Gaussian loss functions to enhance monitoring accuracy and efficiency.

Why Use SVMs?

SVMs offer several advantages over traditional machine learning models:

• High Accuracy : SV