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 order to realize the rapid and accurate real estate traceability of rice in Heilongjiang Province, this paper combines computer vision technology and near-infrared spectral data mining technology to the five major production areas of Heilongjiang Province, the five major production areas, Chahayang production area and Jiansanjiang production. A total of 150 grains of rice were analyzed and studied. In this study, based on the fusion of generalized Cartesian product feature, the feature of rice shape based on rice image and the characteristics of rice near-infrared spectral data were merged, and the classification of rice origin was carried out by using support vector machine algorithm. Finally, the accuracy of the model is 90.7%. The experimental results show that the method can be used as a preliminary application to reach the classification of rice.

Classification of Rice Producing Area in Heilongjiang Province Based on Cross-Media Feature Fusion