Regarding some of the methods for crop state calculation in digital twin of plant
Автор: Skobelev P.O., Tabachinskiy A.S., Simonova E.V., Zhuravel Yu.N., Miatov G.N.
Журнал: Известия Самарского научного центра Российской академии наук @izvestiya-ssc
Рубрика: Машиностроение и машиноведение
Статья в выпуске: 3 т.24, 2022 года.
Бесплатный доступ
In this paper, a concept of digital twin of plant, which is a decision support system to implement precise farming technologies. Digital twin of plant allows to forecast and simulate real crop state and suggest agricultural measures to the fields based on weather and soil data. Digital twin of plant is developed with the use of multi-agent technologies and ontology-based domain formalization.
Digital twin of plant, precise farming, decision support, multi-agent technologies, crop growth model
Короткий адрес: https://sciup.org/148325291
IDR: 148325291 | DOI: 10.37313/1990-5378-2022-24-3-100-111
