Update README.md

README.md

@@ -38,4 +38,31 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: cc-by-4.0
+task_categories:
+- object-detection
+size_categories:
+- 1K<n<10K
 ---
+
+# Weed Crop Detection
+
+A dataset for object detection of weeds and crops in fields. The dataset contains 1,120 images with 17,693 bounding box annotations across 13 categories.
+
+This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
+
+## Citation
+
+```bibtex
+@article{upadhyay2025weed,
+  title={Weed-crop dataset in precision agriculture: Resource for AI-based robotic weed control systems},
+  author={Upadhyay, Arjun and Mahecha, Maria Villamil and Mettler, Joseph and Howatt, Kirk and Aderholdt, William and Ostlie, Michael and Sun, Xin and others},
+  journal={Data in Brief},
+  volume={60},
+  pages={111486},
+  year={2025},
+  publisher={Elsevier}
+}
+```
+
+Upadhyay, Arjun; G C, Sunil; Villamil Mahecha, Maria; Mettler, Joseph; Howatt, Kirk; Aderholdt, William; Ostlie, Michael; Sun, Xin (2025), “Weed-crop dataset in precision agriculture: Resource for AI-based robotic weed control systems”, Mendeley Data, V2, doi: 10.17632/mthv4ppwyw.2-->