Digital transformation of machine technology for onion harvesting using the theory of artificial neural networks
The problem of forecasting the qualitative indicators of onion harvesters was solved using the methodologies of the system analysis and synthesis, physical modeling, based on the theory of artificial neural networks. Analysis of the mathematical model of the working process of onion harvesting machi...
Main Authors: | A. V. Sibiriev, A. S. Dorokhov, A. G. Aksenov |
---|---|
Format: | Article |
Language: | Russian |
Published: |
Federal Agricultural Research Center of the North-East named N.V. Rudnitsky
2019-02-01
|
Series: | Аграрная наука Евро-Северо-Востока |
Subjects: | |
Online Access: | https://www.agronauka-sv.ru/jour/article/view/305 |
Similar Items
-
Theoretical studies of the technological process of a rod elevator with an adjustable inclination angle of the apron
by: A. S. Dorokhov, et al.
Published: (2020-03-01) -
Development and Evaluation of an Onion Harvester Machine with Excrescence Axes
by: M. A Zamani Dehyaghoubi, et al.
Published: (2018-09-01) -
RESULTS OF A FIELD RESEARCH OF A ROOT CROP AND ONION HARVESTER WITH AN ADJUSTABLE ANGLE OF THE BLADE
by: A.S. Dorokhov, et al.
Published: (2020-03-01) -
Basis of Developing Automated Machines with Digital Control Systems for Cultivating, Harvesting and Postharvest Processing of Vegetable Crops and Potatoes
by: Aleksey S. Dorokhov, et al.
Published: (2022-03-01) -
Development and Modeling of an Onion Harvester with an Automated Separation System
by: Michel N. Erokhin, et al.
Published: (2022-04-01)