Нейросети, глубокое обучение, машинное зрение в сельском хозяйстве. Краткий обзор для 2021 года

Ildar  Rakhmatulin

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Нейросети, глубокое обучение, машинное зрение в сельском хозяйстве. Краткий обзор для 2021 года

I. Rakhmatulin

2021-03-21

https://doi.org/10.24108/preprints-3112205

Беспрецедентный прогресс в области глубокого обучения повлиял на многие отрасли, в том числе и на сектор сельского хозяйства. Использование нейронных сетей в агропромышленной деятельности в задаче распознавания различных культур и сорняков - новое направление с историей менее 10 лет. Десятки новых нейронных сети появляются каждый год, но отсутствие каких-либо стандартов существенно затрудняет понимание реальной ситуации использования нейронной сети в аграрном секторе. В рукописи мы проанализировали исследования за последние 10 лет по использованию нейронных сетей для классификации и отслеживание посевов и сорняков в сельском хозяйстве. Мы представили анализ результатов использования различных нейронной сети для задач классификации и отслеживания. Наконец, мы сделали рекомендации по использованию нейронных сетей в задачах распознавания культивируемого объекта и сорняков.

Ссылка для цитирования:

Rakhmatulin I. 2021. Нейросети, глубокое обучение, машинное зрение в сельском хозяйстве. Краткий обзор для 2021 года. PREPRINTS.RU. https://doi.org/10.24108/preprints-3112205

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