Work

Leveraging the WFD2020 Dataset for Multi-Class Detection of Wheat Fungal Diseases with YOLOv8 and Faster R-CNN

Year: 2025

Type: article

Abstract: Wheat fungal infections pose a danger to the grain quality and crop productivity. Thus, prompt and precise diagnosis is essential for efficient crop management. This study used the WFD2020 image dataset, which is available to... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.060185

Authors: Shivani Sood, Harjeet Singh, Surbhi Bhatia Khan, Ahlam Almusharraf

Institutions: Lovely Professional University, Rayat Bahra University, University of Salford, Chitkara University

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDG: Zero hunger

Open Access status: diamond

Funder: Princess Nourah Bint Abdulrahman University