The price of the laundry beads in the vegetable and fruit garden varied according to different products and promotions. According to the document [1], the price of 416g x 1 box of laundry beads in the vegetable and fruit garden was 15.9 yuan. The document [2] mentioned that the price of Suk Garden laundry beads 10g *4 was 19.9 yuan. However, due to the incompleteness of the search results and possible outdated information, it was impossible to accurately answer the specific price of a box of laundry beads in the vegetable garden.
Niluo was a word that existed in the Jianghuai dialect. It was used in Jiangsu, Zhejiang, Shanghai, Jiangxi, Fujian, and Guangdong. The meaning of the Chinese Nut was referring to a dish like the Chinese Nut. In the northern dialect, the Chinese Nymphoides referred to water shield. Therefore, it could be said that the leek was another name for the water shield.
The inspection of vegetables was mainly to test the quality and safety of agricultural products. Common vegetable testing items included pesticide residue testing, heavy metal testing, and food ingredient testing. Pesticide residue testing mainly focused on indicators such as organic phosphorus pesticide, carbanate pesticide, and cypermethrin. Heavy metal testing mainly focused on mercury, lead, mercury, and other elements. The detection of food ingredients mainly focused on preserving agents, flavor enhancing agents, and coloring agents. The vegetable test could assess the safety of vegetables and prevent the impact of excessive pesticide residue and heavy metal pollution on human health. Commonly used vegetable testing equipment included food safety detectors, food heavy metal detectors, pesticide residue detectors, solid phase extraction detectors, and nitrogen blowing detectors. The vegetable testing could be carried out by the national quality inspection unit or a third-party testing organization. The third-party testing organization had the advantages of short testing cycle, low cost, and accurate and reliable testing data.
The main responsibilities of the vegetable sorter included quickly and accurately sorting the vegetables according to the customer's order requirements to ensure that they could be shipped on time. They needed to be proficient in picking, carefully complete the daily picking task, and ensure that the variety and quantity of goods picked were accurate. The vegetable sorter also needed to ensure the hygiene of the food, make various records of the food, sort out the dishes that needed to be sorted that day, sort the dishes according to the order, and weigh the dishes. The sorted vegetables needed to be placed reasonably to avoid being crushed and damaged, and they needed to be labeled accordingly. They also needed to sort the dishes that needed to be sorted the next day and clean up the tools used so that they could continue to use them. The vegetable sorters needed to cooperate with each other to complete the target amount for the day. During work, vegetable sorters needed to wear clean and sanitary clothes because vegetables were food, and hygiene was very important. There were no search results for specific information on salary.
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.
Vegetables folding paper was a kind of handmade activity that was loved by children. Through the use of colored paper and some simple folding steps, one could make realistic vegetable models, such as carrots, green peppers, etc. The steps of folding carrots included folding the paper into a triangle, folding the left and right sides, folding the tip, folding to the left and right, and so on. The steps of folding the green peppers included folding the square colored paper, folding it to the right, folding the triangle on the left to the right, and so on. These origami activities could train the children's hands-on and brain skills, and at the same time increase their understanding and interest in vegetables. If you like origami, you can try these interesting vegetable origami tutorial.
The vegetable sorting work was the process of sorting, grading, sorting, and packaging the vegetables picked from the farmland according to certain rules. This work process included harvesting and picking, cleaning and removing impurities, sorting and sorting, inspection and quality control, weighing, packaging and tagging, product inspection and other steps. The vegetable sorter needed to divide the vegetables into different categories according to the requirements of the variety, size, appearance, quality, and maturity of the vegetables, and carry out quality testing to ensure that they met the product quality standards. They also needed to weigh, package, and label the product to ensure that the information was accurate. The job of sorting vegetables required attention to detail, quality control and sorting skills, as well as good health, teamwork, and communication skills.
The vegetable picker was a machine used to pick vegetables. The vegetable picker could use a low-voltage direct current servo-motor. This kind of motor did not have carbon brushes and was maintenance-free, which prevented the carbon powder produced by the carbon brushes from polluting the vegetables. The low-voltage direct current servo-motor also had the advantages of short start-up time, large moment, and rapid start-up. In addition, the vegetable picker could also adopt a self-propelled track design, so that it could move in the greenhouse and carry out harvesting operations. However, other specific information about the vegetable picker, such as its function, brand, model, etc., was not provided in the search results.
The multi-purpose vegetable washing machine was a kind of equipment used to wash vegetables and fruits. It uses bubble cleaning, vortex cleaning, high-pressure spray and other cleaning methods to completely clean the sand, impurities and dirt on the surface of the vegetables and maintain the integrity and hygiene of the vegetables. This kind of equipment was suitable for central kitchen, group meals, large enterprises, troops, institutions, school canteens, clean vegetable and side dish centers, food processing factories, and other places. It had the characteristics of automatic control, water and energy saving, time and effort saving, which could improve cleaning efficiency and reduce labor costs. The washing equipment of the multi-purpose vegetable washing machine is made of stainless steel. It has the characteristics of corrosion and rust prevention. It can be used for a long time without being deformed.