😋I'm very suitable to recommend you an archeological novel with a female protagonist! I recommend " The Archeologist's Primitive Boyfriend." This is a novel about urban life. It tells the story of daily life, archaeological exploration, and love. The male protagonist is the female protagonist's " primitive boyfriend." There is a lot of knowledge about ancient artifacts and archaeology in the story, which can satisfy your interest in archaeological identification. I hope you will like this novel.😗
The archeological genius Gu Chaochao and the demon professor Chi Mu carried out an archaeological exploration in the Zhurong Fire Palace in the Yunnan Valley and the Dragon Pond in the desert hinterland. They discovered a huge secret. The female protagonist, Gu Chaochao, bought a pair of rings, and her stepfather was also in the archeological department. I hope you like my recommendation.
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.
I recommend the novel," Three Years of Treasure Digging, I Bought Earth with All My Money ". It was about the year 6500 of the Milky Way New Calendar. After the protagonist Xu Qing obtained the Treasure Digging System and became a professional Treasure Digger, he wanted to buy Earth through treasure digging. This novel was very interesting and full of imagination. I hope you like my recommendation.
Here are some recommendations for novels that are similar to archeological novels: 1. " Prison Prince Charming: Special Skill: Sending People to Prison to Eat Food." Author: North Region Mad Student 2. I'm Fishing for Fish, Not Criminals, Author: Sudden Words 3. Master, do you believe in love? 4. Book of Troubled Times, Author: Ji Cha 5. [Spirit Realm Walker] by Xiao Langjun, a newspaper seller. 6. The Tang's Table, by Jie Yu 7. King of the Familiar, Author: Light Spring Flowing Sound 8. Fairy, Please Listen to My Explanation. Author: Mi... 9. " Purely by accident, starting from a bowl of noodles that costs fifty yuan." Author: Mad God Rhapsody 10. " Live Streams Picking Up Leaks at Stall Stalls, Earning Millions of Profits." Author: Yuan Feng 11. Binjiang Police, Author: Zhuo Muxian 12. " Live Treasure Appraisal, Congratulations to Big Brother for Your Happiness in Prison." Author: Slippers on the Street Stall 13. This Doctor Is Not Short of Money, Author: Field Rat 14. The novels such as "Master of Archeology" are recommended. 15. "I'm a grave robber, and the country wants me to go archeology!" This kind of novel recommendation Please note that the novels recommended above may be related to archaeology, but the specific content and style may vary.
One could determine the authenticity of Li Yuanhong's silver coin by observing its edge. The shape of the real thing's teeth was usually more regular, with a clear outline, without too many barbs or a rough feeling. The side teeth should be vertical to the face, roughly uniform, the depth should be the same, the pressure should be deep, generally in the shape of a echelon, there should be no file marks. In addition, after a long period of circulation, the teeth of the real silver coins would be polished smooth and round, and there would be many traces of bumps. Each tooth had many natural bumps. The collision marks at the intersection of the interface and the edge teeth were also very obvious, but it was smooth and did not cut his hands. There could not be straight slopes or file marks, otherwise it might be counterfeit money. In addition, the real silver coins had a high density of teeth, and the tooth wall was strong. Under a high power microscope, there were obvious carving marks, while the counterfeit coins had weak tooth walls and no carving marks in the concave teeth. It should be noted that the height of Li Yuanhong's silver coins may be different in different years and different versions. In summary, by observing the shape of the teeth, traces of wear, and engraving marks of the Li Yuanhong silver coin, one could determine its authenticity.
Yuan Datou's 9-year authentication could be done through the following methods. Firstly, he could tell if it was real or fake by listening to the sound. Genuine coins would make a pure, melodious sound when they were gently struck, while counterfeit coins might make a high-pitched, or low-pitched sound. Secondly, he could observe the quality of Yuan Datou. The color of real coins was uniform and fine, and they were very straight. There would not be any crooked situations, while the side teeth of fake coins might be of different lengths, uneven, and crooked. Apart from that, he could also check Big Head Yuan's teeth. The teeth of the real coins were straight and upright, and the inner teeth of the teeth were double inner teeth. The teeth of the fake coins might be messy. Finally, one could determine the authenticity by weighing it. The weight of a real coin was generally 26.8 grams. If the weight did not meet this range, it might be counterfeit. In summary, Yuan Datou's 9-year-old body could be identified by listening to the sound, observing the color, observing the teeth, and weighing the weight.
The identification and classification of vegetables was based on the characteristics and edible organs of vegetables. We can get some information about the classification of vegetables. According to document [2], vegetables could be divided into different categories such as common leafy vegetables, leafy vegetables, fragrant leafy vegetables, and bulbs. Common leafy vegetables were usually marked by fresh and crispy green leaves or leaves, such as cabbage and spinach. Leafy vegetables produce fat leafballs, such as cabbage, lettuce, etc. Spicy leafy vegetables had a spicy taste, such as onions, leeks, celery, and so on. Bulbs are produced from plump pseudostems or lateral buds. In addition, the document [1] also mentioned the classification of vegetables into five categories according to the different temperature requirements of the vegetables. Based on this information, we can identify and classify the vegetables.
There were several vegetable identification apps that he could recommend. One of them was Quick Identification, which integrated a variety of identification tools, including vegetable identification. It could accurately identify pictures of vegetables taken or uploaded in a short period of time and provide detailed information. The other was Cuisine Master. It was a Mini programs that could identify vegetables by taking photos and provide intelligent recommendation services such as the nutritional value of vegetables, taboos, and recipe making. There was also the Omniscient Image, which was a photo recognition product based on AI intelligent image technology. It could recognize more than 20,000 common plants, nearly 8,000 flowers, and nearly 1,000 fruits and vegetables. In addition, there were other vegetable recognition apps, such as AI recognition king, photo recognition, and so on. These apps could help users quickly identify vegetables and provide relevant information and suggestions.