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

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.