Advancements in Plant Pests Detection: Leveraging Convolutional Neural Networks for Smart Agriculture-Reference-Cited by-同舟云学术

Advancements in Plant Pests Detection: Leveraging Convolutional Neural Networks for Smart Agriculture

Published:2024-01-22 Issue: Volume:64 Page:221
ISSN:
Container-title:RAiSE-2023
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Author:

Nagaraj Gopalakrishnan¹,Sungeetha Dakshinamurthy²,Tiwari Mohit³^ORCID,Ahuja Vandana⁴,Varma Ajit Kumar⁵,Agarwal Pankaj⁶

Affiliation:

1. Department of Mechanical Engineering, Sethu Institute of Technology, Virudhunagar 626115, India

2. Department Electronics and Communication Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Science, Chennai 602105, India

3. Department of Computer Science and Engineering, Bharati Vidyapeeth’s College of Engineering, Delhi 110063, India

4. Department of Computer Science and Engineering, Swami Vivekanand Institute of Engineering and Technology, Ramnagar, Banur 140601, India

5. Department of Pharmaceutical Sciences, Rama University, Mandhana, Kanpur 209217, India

6. School of Engineering and Technology, K.R. Mangalam University, Gurugram 122103, India

Publisher

MDPI

Link

https://www.mdpi.com/2673-4591/59/1/221/pdf

Reference20 articles.

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3. Nigam, A., Garg, S., Agrawal, A., and Agrawal, P. (2019, January 15–17). Crop yield prediction using machine learning algorithms. Proceedings of the 2019 Fifth International Conference on Image Information Processing (ICIIP), Shimla, India.

4. A survey on different image processing techniques for pest identification and plant disease detection;Rajan;Int. J. Comput. Sci. Netw. (IJCSN),2016

5. Image-based orchard insect automated identification and classification method;Wen;Comput. Electron. Agric.,2012