USMA-BOF: A Novel Bag-of-Features Algorithm for Classification of Infected Plant Leaf Images in Precision Agriculture-Reference-Cited by-同舟云学术

USMA-BOF: A Novel Bag-of-Features Algorithm for Classification of Infected Plant Leaf Images in Precision Agriculture

Published:2023-12 Issue:4 Volume:30 Page:30-40
ISSN:1070-9932
Container-title:IEEE Robotics & Automation Magazine
language:
Short-container-title:IEEE Robot. Automat. Mag.

Author:

Vijh Surbhi¹^ORCID,Gaurav Prashant²^ORCID,Kumar Sumit³^ORCID,Bansal Priti⁴^ORCID,Singh Mayank⁵^ORCID,Khan Muhammad Attique⁶^ORCID,Palade Vasile⁷^ORCID

Affiliation:

1. School of Engineering and Technology, Sharda University, Greater Noida, India

2. Cube Highways Technologies Pvt Ltd, Noida, India

3. ASET, Amity University, Noida, India

4. Department of Information Technology, Netaji Subhas University of Technology, New Delhi, India

5. GL Bajaj Institute of Technology and Management, Greater Noida, India

6. HITECH University, Taxila, Pakistan

7. Centre for Computational Science and Mathematical Modelling, Coventry University, Coventry, U.K.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/100/10355532/10284566.pdf?arnumber=10284566

Reference29 articles.

1. Towards application of various machine learning techniques in agriculture

2. Development of LR-PCA Based Fusion Approach to Detect the Changes in Mango Fruit Crop by Using Landsat 8 OLI Images

3. Automatic multilevel image thresholding segmentation using hybrid bio-inspired algorithm and artificial neural network for histopathology images

4. The Whale Optimization Algorithm

5. Adaptive Particle Swarm Optimization

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