Crop Coverage Estimation Dataset

In the agricultural sector, crop monitoring faces challenges of high cost and low efficiency. Traditional methods rely on manual observation, making large-scale monitoring difficult and susceptible to weather and lighting conditions. While existing remote sensing technology offers some solutions, it still falls short in accurately evaluating crop coverage. This dataset aims to improve crop coverage estimation accuracy with high-quality image data, meeting the needs of precision agriculture and ecological assessments. The dataset includes 5000 crop images captured by drones under various weather conditions and times to ensure diversity and representativeness. Each image has undergone multiple rounds of manual annotation and expert review to ensure annotation quality. Data is stored in JPG format, organized in a folder structure for ease of use.