Methodology and Technology of Using Neural Networks in Agriculture

Author:

Mikhailov G.G.1ORCID,Orobinskaya V.N.1ORCID,Pachina N. N.2ORCID,Kostoglotov A.A.3ORCID,Lavrova T.N.4,Blinnikov V. A.5

Affiliation:

1. Pyatigorsk Institute, Branch of the North-Caucasus Federal University,The planning and organization of research department,Pyatigorsk,Russia

2. Lipetsk State Technical University,The Department of Sociology,Lipetsk,Russia

3. The School of Innovative Engineering and Hospitality Technologies Pyatigorsk Institute, Branch of the North-Caucasus Federal University,Pyatigorsk,Russia

4. Pyatigorsk Institute, Branch of the North-Caucasus Federal University,The Department of Planning and organization of Research,Pyatigorsk,Russia

5. Technological Institute, technology of processing plant raw materials “Russian State Agrarian University - Moscow Agricultural Academy named after K.A. Timiryazev”,Moscow,Russia

Publisher

IEEE

Reference14 articles.

1. NEURAL NETWORK APPROACH TO FORECASTING THE INDUSTRIAL DEVELOPMENT OF AIC

2. Analysis of intelligent control systems in agriculture;Plaksin;AgroEcoEngineering,2021

3. Using neural networks to predict severe weather events;Sharapov;Modern high technology,2023

4. Analysis, modelling and forecasting of crop yields using artificial neural networks

5. The future of artificial intelligence and digital technologies in the agro-industrial complex;Shutkov;Economy and society: modern models of development,2018

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