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Welcome to the pest-management-opendata wiki!
This wiki provides information about the:
- projects purpose,
- structure of the data,
- format of the metadata (annotations),
- using scripts in this repository to convert the data, and
- accessing the data via Hugging Face datasets.
The pest management project at the Wadhwani Institute for Artificial Intelligence (Wadhwani AI) is an effort to help cotton farmers make better pest management decisions. The project works by asking farmers to install pheromone traps throughout their field designed to capture various types of bollworms. Farmers and farming extension workers periodically empty the trap and use a mobile application developed by the institute to take photos of what they find. The application then uses those photos to provide an action recommendation: whether a pesticide spray is required, and if so the ideal composition and concentration.
To go from mobile phone image to pesticide recommentation, the project uses an object detection model trained to localise and label relevant pests within an image. The S3 bucket around which this repository is designed contains the data used to train and test that model.
- Pest Management for Cotton Farming
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Pest Management In Cotton Farms: An AI-System Case Study from the Global South
- An open access version of this article is provided by ACM SIGKDD
Python scripts in this repository are known to work on Python 3.8+. For library dependencies see the requrements.txt file at the top of this repository.
Detectron2 is required to run our conversion scripts related to its format. The library is not included in our requirements file because its installation of the library requires special handling. Please follow their installation instructions if working with our scripts is desired.
Shell scripts in this repository were designed under Bash. They are known to work if you are using standard GNU Bash utils. For Linux users this should not be an issue. For Mac users this generally means Homebrew versions of Terminal programs; notably coreutils.