Application of Convolutional Neural Network in Agriculture on the Example of Plant Disease Detection

Authors

  • K.H. Nikoghosyan, V.T. Bejanyan

Keywords:

artificial intelligence, convolutional neural network, agriculture, classification, detection

Abstract

Artificial Intelligence (AI) technologies are used in various sectors of the national economy, particularly in agriculture. These technologies are used in various fields of agriculture: detection of plant diseases, classification and identification of weeds, crops identification and computation, water and soil management, weather (climate) forecasting, determination of animal behavior, etc. This paper reviews advanced Artificial Neural Network (ANN) techniques available to hyperspectral data processing, with a special emphasis on plant
disease detection. It is proposed to apply the developed ANN model to the agriculture of the Republic of Armenia to make it more modern and efficient.

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Published

2023-08-02

How to Cite

K.H. Nikoghosyan, V.T. Bejanyan. (2023). Application of Convolutional Neural Network in Agriculture on the Example of Plant Disease Detection. AgriScience and Technology, 2(70). Retrieved from https://journal.anau.am/index.php/anau/article/view/126

Issue

Vol. 2 No. 70 (2020): “AgriScience and Technology” scientific journal

Section

Agronomy and Agroecology

License

Creative Commons Attribution-Non-Commercial (CC BY-NC). CC BY-NC allows users to copy and distribute the article, provided this is not done for commercial purposes. The users may adapt – remix, transform, and build upon the material giving appropriate credit, providing a link to the license. The full details of the license are available at https://creativecommons.org/licenses/by-nc/4.0/.