A robotic complex control method based on deep reinforcement learning of recurrent neural networks for automatic harvesting of greenhouse crops

A robotic complex control method based on deep reinforcement learning of recurrent neural networks for automatic harvesting of greenhouse crops

The modern development of technology determines the feasibility of the transition in agriculture from manual labor to automatic production. One of the promising areas is the automation of growing vegetable crops in greenhouse complexes. Necessary factors for intensive plant growth and unfavorable fo...

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Hlavní autoři:	Petrenko, V. I., Петренко, В. И., Tebueva, F. B., Тебуева, Ф. Б., Gurchinsky, M. M., Гурчинский, М. М., Antonov, V. O., Антонов, В. О.
Médium:	Статья
Jazyk:	English
Vydáno:	ATLANTIS PRESS 2021
Témata:	Automation and robotics Decision- making Deep reinforcement learning Recurrent neural networks Recurrent Q-networks
On-line přístup:	https://dspace.ncfu.ru/handle/20.500.12258/18124
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo otaguje tento záznam!

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