Show simple item record

dc.contributor.authorMa, Shikuanru
dc.contributor.authorLiu, Zhixinru
dc.contributor.authorCui, Mengjunru
dc.coverage.spatialМинскru
dc.date.accessioned2025-04-21T07:31:26Z
dc.date.available2025-04-21T07:31:26Z
dc.date.issued2024
dc.identifier.citationMa, Shikuan. Convolutional neural network based pest and disease recognition / Shikuan Ma, Zhixin Liu, Mengjun Cui // Новые горизонты – 2024 : сборник материалов XI Белорусско-китайского молодежного инновационного форума, 21-22 ноября 2024 года / Белорусский национальный технический университет. – Минск : БНТУ, 2024. – Т. 1. – С. 92.ru
dc.identifier.urihttps://rep.bntu.by/handle/data/154852
dc.description.abstractIn recent years, convolutional neural network, as one of the most representative algorithms of deep learning, has good generalization and accuracy. Crop pest and disease identification combined with image technology is an inevitable trend of future agricultural development, which plays a very important role in maintaining ecological balance, guaranteeing China's food security as well as improving the quality of China's food.ru
dc.language.isoenru
dc.publisherБНТУru
dc.titleConvolutional neural network based pest and disease recognitionru
dc.typeArticleru


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record