Durian Plantation Pest Identification: Scale Insect Image Data

Durian is a tropical fruit that faces pest invasions during cultivation, particularly scale insects which cause significant damage. Currently, many farms rely on manual pest identification, which is time-consuming and less accurate. Existing automatic identification systems are often constrained by data set inadequacies and accuracy bottlenecks. This dataset aims to solve the automatic identification issue of scale insects to improve durian plantation yield and quality. The dataset is captured with high-resolution cameras in durian plantations, covering different weather and light conditions. Through multiple rounds of manual annotation and consistency checks, the precision of annotations is ensured. The annotation team comprises plant pathology experts and data processing professionals at a moderate scale. Data preprocessing includes image clarity adjustment, noise filtering, and target framing steps, stored in JPG format with a good organizational structure.