Supervised Learning Based Plant Species Classification for Precise E- Agriculture

Abstract

Accurate identification of plant species is essential for various applications, including ecological studies, agriculture, and conservation efforts. Statistics indicate that misidentification can lead to significant issues in biodiversity management and agricultural productivity. Traditional identification methods rely heavily on expert knowledge and manual comparison, which can be time-consuming 
and prone to inaccuracies.  Manual identification of plant species often requires extensive botanical knowledge and experience. This process can be slow and subject to human error, leading to misclassification and inconsistent results.