Project-AgML/sorghum_uav_nitrogen_regression

Sorghum Uav Nitrogen Regression

UAV RGB plot images of sorghum (Sorghum bicolor) paired with laboratory-measured canopy nitrogen content (N%), from two post-rainy (rabi) season field trials at ICRISAT, Patancheru, India. Nine (2021-22) and twelve (2022-23) genotypes were grown under well-watered/standard-N, water-stressed/standard-N and well-watered/low-N treatments. Fields were flown with a DJI Matrice 210 carrying a Zenmuse X5S RGB camera during vegetative growth, the imagery was stitched into orthomosaics, and individual plots were cropped out. N was measured by NIRS on oven-dried leaf and stem material from eight plants harvested per plot. Each row holds one plot image with its nitrogen_percent value and capture_date. The split column keeps the authors' sets: train (season 1, 153 images), test1 (season 1, later flights, 102) and test2 (independent season 2, 215). The dataset contains 470 images, each paired with the following ground-truth measurement(s): capture_date, nitrogen_percent, season, source_image.

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

The original train/test/val split has been preserved in the split column.

Citation

@article{hammouch2024hybrid,
  title={Hybrid-AI and Model Ensembling to Exploit UAV-Based RGB Imagery: An Evaluation of Sorghum Crop’s Nitrogen Content},
  author={Hammouch, Hajar and Patil, Suchitra and Choudhary, Sunita and El-Yacoubi, Mounim A. and Masner, Jan and Kholová, Jana and Anbazhagan, Krithika and Vaněk, Jiří and Qin, Huafeng and Stočes, Michal and Berbia, Hassan and Jagarlapudi, Adinarayana and Chandramouli, Magesh and Mamidi, Srinivas and Prasad, KVSV and Baddam, Rekha},
  journal={Agriculture},
  volume={14},
  pages={1682},
  year={2024},
  publisher={MDPI}
}

The dataset itself can be cited as:

Choudhary, S., Patil, S., Anbazhagan, K., Chandramouli, M., Mamidi, S., KSVV, P., Baddam, R., Hammouch, H., El-Yacoubi, M. A., Masner, J., Vaněk, J., Qin, H., Michal, S., & Berbia, H. (2024). RGB images of sorghum fields gathered by UAV flights [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.13733947

This dataset was reformatted from its original format to match HuggingFace standards.