Russian scientists have found a way to reduce the cost of the production of vegetables and herbs in greenhouses

Published 2022년 12월 20일

Tridge summary

Researchers at Siberian Federal University (SFU) have invented a technology for low-cost, year-round cultivation of greens and vegetables in hydroponic vertical farms. The technology includes software for monitoring plants and a neural network for identifying poor-quality seeds and seedlings. The neural network is implemented on a chip, which speeds up calculations. Automating the process of growing vegetables in these farms saves time and can be controlled remotely using a special application. The SFU team is already growing microgreens, aromatic herbs, and several types of lettuce, and plans to include vegetables, especially tomatoes, in the future. The products from these urban vertical farms are fresh and have the right balance of nutrients and vitamins, and can be delivered directly to restaurants, shops, or consumers.
Disclaimer:The above summary was generated by Tridge's proprietary AI model for informational purposes.

Original content

Scientists at the Siberian Federal University (SFU) in Krasnoyarsk have developed a technology for inexpensive year-round cultivation of greens and vegetables in hydroponic vertical farms. This was announced on Tuesday by the press service of the university. "Scientists from the Siberian Federal University have proposed ways to improve the technology for growing various crops in hydroponic vertical farms. The development will significantly reduce the cost of obtaining microgreens, aromatic herbs, lettuce and vegetables for restaurant holdings, private farms," the press service said in a statement. SibFU specialists have developed software that helps to continuously monitor the plants in the city farm, and a neural network that finds poor-quality seeds and seedlings. "Our neural network is able to control the quality of plants - to track and reject weak and diseased sprouts in order to minimize the rejection of finished products. The hardware implementation of the neural network is ...
Source: Kvedomosti

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