Site logo

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

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

CC BY-NC 4.0 This work is licensed under Creative Commons Attribution–NonCommercial International License (CC BY-NC 4.0).

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.

Subscribe to TheGufo Newsletter​