Durian Plantation Pest Spider Mite Image Data

In current agricultural production, durian plantations face significant threats and challenges from pest spider mites. Traditional manual detection methods are time-consuming, labor-intensive, and not highly accurate, leading to insufficient and limited pest monitoring and control. This dataset aims to solve the problem of spider mite recognition in durian plantations, meeting the needs for intelligent agricultural monitoring. Data is collected in real time in durian orchards through high-resolution cameras, ensuring consistent shooting angles and lighting conditions. Quality control includes multiple rounds of annotation and expert review, with the annotation team consisting of over 50 members, including agricultural experts and machine learning engineers. Data preprocessing employs image enhancement and denoising techniques. Data is stored in JPG format and organized in a folder structure for classification.