Plant invasion presents a substantial challenge to ecosystems on a global scale, thus requiring the development of effective categorization techniques for precise recognition and control. This article offers an in-depth investigation of plant invasion categorization using the Random Forest (RF) approach. The fundamental principles of RF and its relevance to invasion ecology are deliberated. By means of a methodical examination, we assess the effectiveness of RF in discerning invasive plant species from non-invasive ones based on a variety of ecological characteristics. Our results emphasize the efficiency of RF in classification assignments, underscoring its potential as a valuable instrument for the management of invasive species and conservation endeavors.