Soil Fertility Evaluation Dataset

The current agriculture industry is facing the issue of inaccurate soil fertility evaluations, affecting crop growth and yield. Existing solutions rely on manual assessment, which is inefficient and prone to errors, failing to meet the demands of precision agriculture. This dataset aims to provide accurate soil fertility detection through image data, helping farmers and agricultural experts better manage soil. Data collection uses drone aerial photography under different soil conditions to ensure diversity coverage. For quality control, multiple rounds of annotation and expert reviews are used to ensure data accuracy and consistency. Data is stored in JPG format and accompanied by JSON files providing detailed annotation information for convenient subsequent processing and analysis.