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.
There were several ways to plant Pyrethrum seeds. First of all, he needed to choose suitable soil. It was best to choose loose soil with high organic matter content and good drainage. Before sowing, they had to plow the land and apply fertilizer. Compost, decomposed chicken manure and other organic fertilizers were fully applied to promote the growth of the plants. The sowing season was usually from March to May in spring or from August to October in autumn. When sowing, the seeds of Pyrethrum generally did not need to be soaked in water. They could be directly sown in the soil. The sowing quantity was generally around 50-60 grams per square meter. After sowing, they had to water the soil every day to ensure that it was moist, but not flooded. Pyrethrum grew quickly and needed support. At the same time, weeding and loosening of the soil were also needed to maintain the ventilation and moisture of the soil. Pyrethrum liked warm climates, and the suitable temperature for sprouting was around 15 to 30 degrees. Sowing in spring would not bloom that year, so sowing in autumn was more suitable. August was the best time to sow. The germinating rate of Pyrethrum seeds was affected by the quality of the seeds. It was best to choose plump seeds that were not moldy. After sowing, it was necessary to water and apply fertilizer at the right time to keep the soil moist but not accumulate water. Pyrethrum planting methods could be adjusted according to specific circumstances, but the above was a general planting guide.
Bamboo seeds could be planted, but they needed to be treated and managed. First, choose healthy and complete bamboo seeds that are not damaged, moth-eaten, or moldy. Then, the seeds were soaked in warm water at a temperature of about 40 ° C for about 24 hours. Next, he cut off the outer skin of the seed, revealing the embryo inside. After the seed treatment was completed, they could choose to directly broadcast or grow seedlings. The direct broadcast method was to directly scatter the seeds on the ground, cover them with a thin layer of soil or straw, and wait for them to germinate. The seedling method was to first raise the seeds in a seedling tray or seedling box, and then transplant them to the ground after the seedlings grew to a certain extent. It usually takes 20 to 30 days for the seeds to germinate. During the planting process, one needed to pay attention to maintaining a moderate humidity of the soil, sufficient light, and appropriate fertilizer supplements. The planting method and time of the bamboo seeds could be chosen according to the specific situation, and they could be managed according to the environmental conditions.
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.