Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › Рецензирование
Internet of Things (IoT) technologies represent the future challenges of computing and communications. They can also be useful to improve traditional farming practices worldwide. Since the areas where agricultural land is located in remote places, there is a need for new technologies. These technologies must be suitable and reliable for communication over long distances and, at the same time, consume little energy. In particular, one of these relatively new technologies is the LoRa communication protocol, which uses long waves to work over long distances. This is extremely useful in agriculture, where the communicating areas are broad fields of crops and greenhouses. This study developed a greenhouse monitoring system based on LoRa technology, designed to work over long distances. The edge computing paradigms with a machine learning mechanism are proposed to analyze and control the state of the greenhouse, and in particular, to reduce the mount of data transmitted to the server.
Язык оригинала | английский |
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Название основной публикации | Distributed Computer and Communication Networks - 23rd International Conference, DCCN 2020, Revised Selected Papers |
Редакторы | Vladimir M. Vishnevskiy, Dmitry V. Kozyrev, Konstantin E. Samouylov, Dmitry V. Kozyrev |
Издатель | Springer Nature |
Страницы | 113-125 |
Число страниц | 13 |
ISBN (печатное издание) | 9783030664701 |
DOI | |
Состояние | Опубликовано - 2020 |
Событие | 23rd International Conference on Distributed Computer and Communication Networks, DCCN 2020 - Moscow, Российская Федерация Продолжительность: 14 сен 2020 → 18 сен 2020 |
Название | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Том | 12563 LNCS |
ISSN (печатное издание) | 0302-9743 |
ISSN (электронное издание) | 1611-3349 |
конференция | 23rd International Conference on Distributed Computer and Communication Networks, DCCN 2020 |
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Страна/Tерритория | Российская Федерация |
Город | Moscow |
Период | 14/09/20 → 18/09/20 |
ID: 87324492