Crop Pest Ecological Impact Dataset

The agricultural sector is currently facing severe threats to crop production due to pests, especially as climate change increases the frequency and variety of pest occurrences, posing significant challenges to crop growth. Existing pest monitoring methods largely rely on manual observation, which is inefficient, prone to errors, and unable to respond timely to pest changes. This dataset aims to provide ecological damage patterns of pests on crop leaves to support AI research, thereby enhancing the intelligence level of agricultural pest monitoring. The dataset contains 5000 images, taken from different farmlands, using high-resolution cameras under natural light to ensure the authenticity and diversity of the data. For data quality control, multiple rounds of annotation and consistency checks are conducted to ensure the accuracy of the annotation results, with final confirmation through expert review. The data storage format is JPEG, organized by image ID.