Electrical and Computer Engineering

Project PESTICIDES: Data

SPROUT: Structured Pesticide Repository of Unified Tracking​

Project PESTICIDES: Data project image
Structured Pesticide Repository of Unified Tracking

Project Description:

In modern agriculture, pesticides are essential for ensuring crop protection and maximizing yield. There are over 7,000 pesticides registered in the United States and while the U.S. Environmental Protection Agency (EPA) provides pesticide information as a PDF label, users have been manually extracting the information out. Standard approaches to extract out this information have failed in obtaining accurate and structured information about pesticides as these documents vary significantly in structure and formatting. Therefore, our group plans to utilize modern AI technology to create an automated system that can extract and store pesticide information to a structured database. Our project consists of a complete data pipeline consisting of four parts: Label Acquisition, PDF-to-text parsing, Data extraction with AI model, and a Database. 

Advisor/Instructor:

James M. Purtilo

Sponsor:

Dr. Scott Cosseboom

Team Members:

Taehyeok Kwon Electrical and Computer Engineering
Terence Lo Electrical and Computer Engineering
Luke O'Neill Electrical and Computer Engineering
Sungbin Oh Electrical and Computer Engineering
David Lam Perez Electrical and Computer Engineering
Cedric Yeo Electrical and Computer Engineering
Mathew Zheng Electrical and Computer Engineering

Poster:

pestdata-poster.pdf (888.76 KB)

Table #:

F10
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