A comprehensive dataset of rice field weed detection from Bangladesh

Published: 4 September 2024| Version 4 | DOI: 10.17632/mt72bmxz73.4
Contributors:
Sawkat Ali, Mohammad Rifat Ahmmad Rashid, Tasnim Hossain Orpa, Md Ahsan Kabir, Md Kamrul, Sayam Hossain Bhuiyan Aumy , Mehedi Hasan Mridha, Imam Hossain Sajeeb, Mohammad Manzurul Islam, Taskeed Jabid

Description

Type of data: RGB digital images Data format: .jpg Number of images: 3632 Number of classes: 11 How data were acquired : Through a smartphone camera Data source location: Rice fields of Narsingdi and Munshiganj, Bangladesh Where applicable: Deep learning, image processing, agricultural studies

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Institutions

  • East-West University
  • Military Institute of Science and Technology

Categories

Machine Learning, Classification System, Plant Diseases

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