Detection of pepper fusarium disease using machine learning algorithms based on spectral reflectance-Reference-Cited by-同舟云学术

Detection of pepper fusarium disease using machine learning algorithms based on spectral reflectance

Published:2020-12 Issue: Volume:28 Page:100299
ISSN:2210-5379
Container-title:Sustainable Computing: Informatics and Systems
language:en
Short-container-title:Sustainable Computing: Informatics and Systems

Author:

Karadağ Kerim,Tenekeci Mehmet Emin,Taşaltın Ramazan,Bilgili Ayşin

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science

Reference29 articles.

1. Tifensülfüron-metil herbisitinin diferansiyel puls polarografisiyle tayini;Erik,2007

2. Keeping plant pests and diseases at bay: experts focus on global measures, http://www.fao.org/news/story/en/item/280489/icode/ (date of access: 15 May 2018).

3. Application of neural networks to discriminate fungal infection levels in rice panicles using hyperspectral reflectance and principal components analysis;Liu;Comput. Electron. Agric.,2010

4. Closing the gap between IPM theory and practice;Pedigo;J. Agric. Entomol.,1995

Cited by 46 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A CNN model for early detection of pepper Phytophthora blight using multispectral imaging, integrating spectral and textural information;Plant Methods;2024-07-29

2. A lightweight CNN model for pepper leaf disease recognition in a human palm background;Heliyon;2024-06

3. Detection of Pepper Plant Leaf Disease Detection Using Tom and Jerry Algorithm With MSTNet;Advances in Computational Intelligence and Robotics;2024-05-03

4. Revolutionizing agriculture with artificial intelligence: plant disease detection methods, applications, and their limitations;Frontiers in Plant Science;2024-03-13

5. Seedling Growth Stress Quantification Based on Environmental Factors Using Sensor Fusion and Image Processing;Horticulturae;2024-02-18