Machine Learning and Handcrafted Image Processing Weed Classification Results Data

Published: 12 May 2023| Version 3 | DOI: 10.17632/787mkh2kjc.3
Contributors:
Igathinathane Cannayen, Harsh Pathak, Kirk Howatt

Description

Shape features extracted from ImageJ particle analysis based on four weed species (Common Lambsquarters, Common Purslane, Horseweed, and Redroot Pigweed) images that were used in the hand crafted image processing and machine learning models/methodology development to identify the weeds.

Files

Steps to reproduce

Please refer to the paper with a citation for details: Pathak, H., Igathinathane, C.*, Howatt, K., Zhang, Z. 2022. Machine vision and handcrafted image processing methods for classifying common weeds in corn field. Smart Agricultural Technology. Manuscript No. ATECH_100249.

Institutions

  • North Dakota State University

Categories

Image Processing

Funders

  • North Dakota Corn Utilization Council
    United States
    Grant ID: FAR0030691

Licence