{"url":"/dataset/earlynsd","name":"EarlyNSD","full_name":"Early Nutrient Stress Detection of Plants","description_markdown":"Early detection of plant nutritional deficiencies, followed by corrective actions, is essential for sustaining crop yield. However, identifying these early signs in plant leaves remains challenging, even with computer-aided diagnostic tools, due to their often subtle nature. To address this, we introduce a public dataset focused on three cucurbits: ash gourd, bitter gourd, and snake gourd. We chose to focus on these cucurbits due to their significant impact on global vegetable production. The dataset includes 2,700 segmented and augmented leaf images, capturing early indicators of nitrogen and potassium deficiencies alongside a healthy control group. This dataset, to the best of our knowledge, is the first to specifically target the critical early stage of nutritional stress in plants.","description_withheld":null,"homepage":"https://www.kaggle.com/datasets/raiaone/early-nutrient-stress-detection-of-plants","introduced_date":"2024-08-06","introduced_date_note":null,"introduced_by":null,"license":{"name":"ATTRIBUTION 4.0 INTERNATIONAL","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Classification","url":"/task/image-classification","datasets_with_task":"/datasets/task/image-classification"}],"languages":[],"variants":["EarlyNSD"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-classification-on-earlynsd","task":"Image Classification","dataset_variant":"EarlyNSD","rows":3,"metrics":["Test accuracy","Test f1"],"first_row_in_archive_order":{"model":"DenseNet121_256x256_Nutrispace","paper":"/paper/nutrispace-a-novel-color-space-to-enhance","metrics":{"Test accuracy":"0.9062","Test f1":"0.9050"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/nutrispace-a-novel-color-space-to-enhance","title":"Nutrispace: A novel color space to enhance deep learning based early detection of cucurbits nutritional deficiency","date":"2024-07-18","rows_on_this_dataset":3,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}