把下面一段字翻译成英文：1现有技术背景技术在21世纪的今天已经是一个生机勃勃、绿意盎然的草木世界了这都源自于人们对绿色、健康的高质量生活的追求。现在几乎人人家里都种有吊兰、绿萝、多肉等等可见绿植在我们的生活中已经必不可少了。但是很多人都不是那么擅长照料绿植比如很多人不清楚什么时候浇水浇多少水也有人外出工作不能照料绿植的更有人连绿植的品种都不怎么了解。其实这都是很正常的现象。据悉世界上植物的种类非常

1. Current Technology (Background Technology)

In the 21st century, we have a thriving and lush green world, which stems from people's pursuit of a high quality of life that is green and healthy. Nowadays, almost everyone has indoor plants such as spider plants, pothos, and succulents, which shows that plants have become essential in our lives. However, many people are not good at taking care of plants. For example, many people are not sure when to water, how much water to use, and some cannot take care of plants when they are away from home for work. Moreover, many people do not even know the species of the plants they have at home. In fact, there are a vast number of plant species in the world. According to current classification records, there are about 300,000 to 350,000 known plant species in the world. This does not even include unknown species, and in reality, plant diversity may reach 3 million or more. We often encounter plants that we do not recognize, or we actually do not understand the plants in our homes. This leads to potential hazards in plant care. We do not know the suitable air temperature, air humidity, soil humidity, and correct watering amount for plants. For those who work outside frequently, they may not be able to take care of plants for several days. If there is an instrument that can help us identify plant species and automatically irrigate according to the environment, it can solve the above problems.

2. Project Objectives

Based on the above considerations, we have studied a project that can identify plants and display their optimal temperature, humidity, and current temperature and humidity, and has an automatic watering function. It can help plant growers take care of plants more easily and ensure that they get the best growth conditions. Firstly, it can identify the plant species through photographs, display the optimal temperature and humidity for growth, and the current temperature and humidity, and determine whether the plant needs watering. If it needs watering, users can click the "manual watering" button. This meets the water demand of plants and promotes their healthy growth. Secondly, the automatic irrigation system we have involved can water for ten seconds each time. If the standard has not been reached yet, it can water again. This small amount of watering can provide plants with adequate water and avoid wasting resources caused by excessive watering, thus saving water. Moreover, the automatic irrigation system can replace manual watering, providing great convenience for plant growers. If further research is invested, it can be used for large-scale agricultural planting areas, reducing labor costs in agricultural production. Of course, this is only a hypothesis of our feasibility study. Finally, it is more convenient to have remote control. This system can be connected to the Internet, and we can monitor and control the irrigation system remotely through mobile phones or web pages, making management more convenient. Therefore, even if we are away from home for a long time, we do not have to worry about the plant drying out, which greatly satisfies users' experience and needs.

3. Technical Solutions

This project involves multiple technologies:

1. Plant recognition: Machine vision technology, especially Convolutional Neural Networks, can be used to recognize and classify plant images. Some open-source models can recognize thousands of plant species. This requires collecting and annotating a large number of plant images for model training.
2. Temperature and humidity sensing: Various temperature and humidity sensors can be used to monitor environmental conditions, such as DHT11. These sensors can be connected to microcontrollers to read data.
3. Automatic irrigation system: Microcontrollers can be used to control water pumps and valves, and automatically turn on or off water flow based on data from temperature and humidity sensors.
4. Software and hardware integration: Software is required to receive data from various hardware and control the irrigation system based on the plant species and requirements. This requires software development and integration on microcontrollers.
5. User interface: A user-friendly interface can provide a better user experience. This interface can display plant species, optimal temperature and humidity for growth, current temperature and humidity, and provide manual watering functions. The user interface can be a web page or a mobile app. In summary, this project uses multiple technologies, such as image processing, IoT, software-hardware interfaces, and human-computer interaction. It is not easy to implement, but it is also a very interesting engineering project. It needs to be slowly debugged and improved, but it can ultimately achieve an automatic and intelligent plant care system