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  ---
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  license: cc-by-4.0
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: cc-by-4.0
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+ task_categories:
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+ - object-detection
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+ language:
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+ - en
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+ tags:
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+ - agriculture
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+ - environment
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+ size_categories:
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+ - 1K<n<10K
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  ---
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+
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+ # Land application field trial data
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+
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+ ### Intro
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+ This dataset is a repository of results from our Land Application Detection Model trial with two organizations.
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+ Land application is the process of disposing of agricultural animal waste by spraying it onto fields. [We developed a model](https://github.com/reglab/land-application-detection?tab=readme-ov-file) to detect these practices.
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+ This dataset represents the results of a real world trial to verify and label these detected spreads.
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+
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+ ### Data description
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+ #### Structured data
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+ - sent_to_wdnr.csv
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+ - Each row is a detected spread that we forwarded to our partners at WDNR
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+ - sent_to_elpc.csv
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+ - Each row is a detected spread that we forwarded to our partners at ELPC
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+ - wdnr_responses.csv
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+ - Each row is a response to a detection from sent_to_wdnr.csv which contains a preliminary determination by WDNR staff as to whether the image looks like a spread and if it was determined to be likely spreading, the results of an investigation into said spread.
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+ - elpc_responses_raw.csv
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+ - Each row is a response to a detection from sent_to_elpc.csv which is the results of the ELPC investigation into that detection through the use of citizen volunteers verifiying in person.
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+ - elpc_responses_clean.csv
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+ - Same as the raw file but with corrected detection ids to deal with a data entry error.
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+ #### Image data
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+ - images/
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+ - This directory contains .jpeg images of satellite data fed into the model that were sent to either of the partners. Images were captured by [Planet](https://www.planet.com/) using the PlanetScope sensor, visual spectrum 3m images.
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+
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+
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+ ## Citation
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+
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+ `@misc {stanford_regulation,_evaluation,_and_governance_lab_2024,
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+ author = { {Stanford Regulation, Evaluation, and Governance Lab} },
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+ title = { land-app-trial (Revision b3d0e11) },
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+ year = 2024,
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+ url = { https://huggingface.co/datasets/reglab/land-app-trial },
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+ doi = { 10.57967/hf/1733 },
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+ publisher = { Hugging Face }
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+ }`
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