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Insect classification and detection in field crops using modern machine learning techniques

  • Published:2021-09 Issue:3 Volume:8 Page:446-457
  • ISSN:2214-3173
  • Container-title:Information Processing in Agriculture
  • language:en
  • Short-container-title:Information Processing in Agriculture

Author:

Kasinathan Thenmozhi,Singaraju Dakshayani,Uyyala Srinivasulu Reddy

Funder

Department of Science and Technology, Ministry of Science and Technology, India

Publisher

Elsevier BV

Subject

Computer Science Applications,Agronomy and Crop Science,Animal Science and Zoology,Aquatic Science,Forestry

Reference40 articles.

1. Detection of stored-grain insects using deep learning;Shen;Comput Electron Agric,2018

2. Fruits and vegetables quality evaluation using computer vision: A review;Bhargava;J King Saud Univ Comput Inf Sci,2018

3. An insect classification analysis based on shape features using quality threshold ARTMAP and moment invariant;Yaakob;Appl Intell,2012

4. Deep recursive super resolution network with Laplacian Pyramid for better agricultural pest surveillance and detection;Yue;Comput Electron Agric,2018

5. Pest identification via deep residual learning in complex background;Cheng;Comput Electron Agric,2017

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