Application and Prospect of Image Recognition in Intelligent Agriculture

Wenhao Hu

doi:10.54097/ajst.v4i1.3256

Authors

Wenhao Hu

DOI:

https://doi.org/10.54097/ajst.v4i1.3256

Keywords:

Intelligent agriculture, Image recognition, Deep learning.

Abstract

Image recognition has been successfully applied in automatic driving and face recognition, and its application in agriculture can greatly promote the process of intelligent agriculture. This article firstly expounds the basic concepts of the intelligent agriculture and image recognition, and enumerates the part of the development of intelligent agriculture in China and abroad. Then, the image recognition in land classification and protection, accurate identification of animals as well as pest and disease detection are analyzed. It is concluded that the source of image data is relatively single, and it is difficult to deal with the identification problem of multi-agent and multi-variable quickly and accurately, as well as the hardware performance is defective. Finally, the prospect of the application of image recognition in intelligent agriculture is proposed, which can be used as a reference for future research in related fields.

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