AI changes the 5 ways of agriculture(英中双语)

With the development of time technology, artificial intelligence and agriculture are becoming inseparable, and it brings exciting infinite possibilities. From seed germination, to the preservation of crop integrity, to the actual harvesting process, whether from agricultural products to field farming techniques, or from planting to improving harvesting quality, both AI and machine learning have been rapidly used in agriculture. Artificial intelligence in agriculture can be divided into five categories:

随着时代科技的发展，人工智能和农业正变得密不可分，它带来了令人兴奋的无限可能性。从种子发芽，到保持作物的完整性，再到实际的收获过程，无论是从农产品到田间耕作技术，还是从种植到提高采收质量，人工智能和机器学习都在农业领域得到了迅速的应用。农业中的人工智能可以分为五类：

]agricultural robot

农业机器人

Now many technicians are developing and programming autonomous robots to handle important agricultural tasks, such as harvesting crops with higher capacity and faster speeds than humans, and the emergence of automation could help solve labor shortages.

现在许多技术人员都在开发自主机器人并对其进行编程，以处理重要的农业任务，比如用比人类更高的产能和更快的速度收割庄稼， 自动化的出现有助于解决劳动力短缺的问题。

Crop and soil monitoring

作物和土壤监测

Computer vision and deep learning algorithms can be used to process data captured by drones, as well as using software technologies to monitor crop and soil health. As deforestation barren soils and causes waterlogging and salinity, the development of soil analysis machines may become critical in the next few years.

可以利用计算机视觉和深度学习算法来处理无人机捕捉到的数据，以及采用软件技术来监测作物和土壤健康状况。由于砍伐森林使土壤变得贫瘠，并造成涝渍和盐碱化，土壤分析机器的发展在未来几年内可能变得至关重要。

The ability to control the weeds

控制杂草的能力

Today, about 250 kinds of weeds have resistance to herbicides, in the researchers of corn and soybean crop weeds out of control research, agricultural economy costs about $43 billion, therefore, the use of automation and robot technology to help farmers find more effective ways to make the crops from weeds is particularly important.

如今，约有250种杂草已经对除草剂产生了抗性，在科研人员对玉米和大豆作物的杂草失控影响研究中，每年农业经济会因这一问题损失约430亿美元，因此，使用自动化和机器人技术帮助农民找到更有效的方法来使庄稼不受杂草侵害尤为重要。

Usage of drones

无人机的使用

By 2027, the agricultural drone market is expected to reach $480 million by 2027, and the use of drones is designed to help users increase crop yields and reduce costs. First programming the route of the drone, once deployed, the device will use computer vision to record images, and the captured data will be uploaded through algorithms to integrate and analyze the captured images and data to provide a detailed analysis report.

到2027年，农业领域的无人机市场预计将达到4.8亿美元，而无人机的使用旨在帮助用户提高作物产量和降低成本。首先编程无人机的路线，一旦部署该设备将利用计算机视觉记录图像，并将捕获的数据上传，通过算法来整合和分析捕获的图像和数据，以提供详细的分析报告。

Proper use of chemical fertilizer

化肥的正确使用

Machine learning algorithms combined with satellites can be used to predict weather, analyze the sustainability of crops and assess pests and diseases on farms. Some agricultural software can now tell users where they need fertilizer, which can reduce fertilizer use by nearly 40 percent.

与卫星相结合的机器学习算法可以用于预测天气、分析作物的可持续性以及评估农场是否存在病虫害，现在一些农业软件可以告诉用户哪里需要化肥，这样可以减少近40%的化肥使用量。

The emergence of artificial intelligence can not only help improve agricultural efficiency, but also address the challenges facing the industry, including crop yield, soil health and herbicide resistance. Agricultural robots will become an important application of artificial intelligence in agriculture, allowing farmers to receive the latest training to ensure that these technologies are used and continue to improve, which in the long run will also help prove the instrumental value of new technologies.

人工智能的出现，不但可以帮助提高农业效率，还能解决行业面临的挑战，包括作物产量、土壤健康和除草剂抗性。农业机器人将成为人工智能在农业领域的重要应用，通过可行的机制来解决上述问题，能让农民接受最新的培训，以确保这些技术得到使用并继续改进，从长远来看，这也有助于证明新技术的工具价值。