re identification

The vegetable recognition was to use image recognition technology to identify different types of vegetables. At present, domestic and foreign research is mainly focused on image recognition algorithms and deep learning technology. Some studies have achieved the recognition of a single fruit or vegetable, but the recognition accuracy and generalization ability still need to be improved. At the same time, the recognition of multiple fruits and vegetables was also a hot and difficult research topic. In recent years, through data augmentation and transfer learning, researchers have tried to solve the problem of insufficient data sets to improve the generalization ability and accuracy of the model. In addition, some vegetable recognition systems based on deep learning had been developed, which could identify vegetables by taking photos or uploading pictures. However, the information given so far did not mention the name or detailed information of the specific vegetable recognition system or algorithm, so it was impossible to provide a more specific answer.

Vegetables identification uses deep learning and machine learning technology to automatically identify the types of vegetables. It could be seen that some research and systems had been developed to realize the identification of vegetables. For example, some researchers used image data sets based on vegetable color and texture to construct a Consecutive neural network model. By adjusting the network layer parameters and using the parameters migration technique, they obtained the preliminary recognition results of vegetables. In addition, there were also systems that used TensorFlow trained Consecutive neural networks and Mobilnet networks based on transfer learning to identify fruits and vegetables with an accuracy of 97%. In addition, some websites and software provided free plant recognition functions that could identify vegetables and other types of plants by uploading pictures or taking photos. These systems use machine learning and big data to improve the accuracy of recognition, and some systems have an accuracy rate of more than 99%. In general, deep learning and machine learning technology could be used to automatically identify vegetables and improve the accuracy and efficiency of identification. However, the specific vegetable recognition system and application still needed further research and development.

The authenticity of Moutai liquor could be identified in many ways. First of all, one could observe the red ribbon on the Moutai bottle. The ribbon of the real wine was bright red, regular, and evenly dyed, while the ribbon of the fake wine was of poor color. Secondly, one could observe the red rubber cap of the Moutai wine. There were red dots on the red rubber cap of the real Moutai wine, while the red dots on the red rubber cap of the fake wine were continuously bright and the printing was blurry. In addition, Moutai's latest anti-counterfeit technology was to place an MRI chip on the red rubber cap, which could be identified by mobile phone sensing. In addition, he could also observe the outer packaging of the Moutai wine. The outer packaging of the real Moutai wine was exquisite, with grooves and three-dimensional feeling, while the outer packaging of the fake wine did not have these characteristics. In addition, one could also identify Moutai by observing the font, the whole body, and the aluminum strip. Finally, consumers could download the official anti-counterfeit tracing system APP of Moutai and use their NFC-enabled mobile phones to conduct independent inquiry and identification. In short, the authenticity of Moutai could be distinguished by observing the streamer, red rubber cap, outer packaging, font, overall, aluminum strip, and the use of anti-counterfeit tracing system.

Cultural relic identification of terrines was the work of using traditional methods or modern science and technology to analyze and identify the authenticity, texture, use, and value of terrines. From the perspective of the shape of the terrines, for example, the terrines of different dynasties had different characteristics. The terrines of the Sui and Tang Dynasties might have simple shapes, while the terrines of the Western Jin Dynasty might have their own styles such as the pot. From the aspect of the soil, one had to check its texture, color, and other characteristics. Some earthen pots were affected by the natural environment of the underground moisture, and the color formed would invade the fetal bone, and the surface corrosion and peeling would form a thick ooze. These were all helpful in determining the authenticity of the pot. Judging from the surface of the soil, the earthen jars of different dynasties and regions had different characteristics. To judge the value, one must first look at the age and patterns. Plain clay pots were generally more valuable before the Qin and Han Dynasties. The patterns with dragon patterns, taotie patterns, god patterns, chariot patterns, banquet music, animal faces, and other patterns were of higher grade and value. The value of cloth patterns, rope patterns, mat patterns, and regular geometric patterns was lower. At the same time, the size and integrity of the pot, as well as the thickness of the pottery, also affected the price. <a href="/?from=ask_words" style="color:red" target="_blank">Read more exciting novels for free</a>

Jade identification was the process of studying the age, authenticity, and artistic level of the jade. The following are some common jade identification methods: 1. ** Color distinction **: The color of natural jade is natural and evenly distributed. However, it was necessary to be wary of some illegal merchants who would use dyeing and other means to pass off the inferior ones as good ones. They could use the spectrum to detect the spectral characteristics of the color, and at the same time, observe the degree of color distribution under natural light. The color of natural jade was too natural, and the color of dyed jade might be piled up or too uniform. 2. [Touch: Due to the different density of the jade, the touch will be different.] For example, Hetian jade was denser and heavier than ordinary jade. 3. ** Light observation **: For example, when the light shines on the Hetian jade, you can see the evenly distributed fiber interwoven texture. 4. [Distinguish by sound: The sound of natural jade is crisp, but the sound of artificial processing is muffled.] For example, the sound of the real jade was clear and loud, while the fake jade sounded low. 5. [Water Droplet Identification Method: When a drop of water is dropped on a piece of jade, it will turn into a dewdrop and not disperse for a long time. It may be a real piece of jade. If the drop of water disappears quickly, it may be a fake.] 6. [Tongue Licking Method: When the tip of the tongue licks real jade, it will feel astringent, but fake jade will not feel astringent.] 7. ** Magnifying Glass Observation **: Use a magnifying glass to see if there are any cracks. Those without cracks are high-quality jade, and those with cracks are second-class. The more cracks there are, the lower the value. In addition, from the perspective of historical aesthetics, it could also assist in the judgment. If an ancient jade was very much in line with contemporary aesthetics, then it might be necessary to pay more attention to its authenticity. During the identification, professional instruments could also be used, such as a high-power magnifying glass to see the fine structure of the jade, and a refraction instrument to measure the refraction index of the jade to provide reliable data support for the identification. <a href="/?from=ask_words" style="color:red" target="_blank">Read more exciting novels for free</a>