English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

In this paper, we have designed a new approach to represent and recognize objects visual patterns using syntactic methods. We capture relevant information from an object and associate them with symbols of an alphabet. After that, we derive a string from the object and in put it to LSTM. The idea is to train LSTM with objects visual patterns encapsulated in the strings. We conducted an experiment using soybean crops aerial images captured by an Unmanned Aerial Vehicle (UAV), and we reached an average F-measure of 91%.

Using syntactic methods and LSTM to the recognition of objects visual patterns