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　　AI changes the 5 ways of agriculture(英中雙語(yǔ))

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:

隨著時(shí)代科技的發(fā)展，人工智能和農(nóng)業(yè)正變得密不可分，它帶來(lái)了令人興奮的無(wú)限可能性。從種子發(fā)芽，到保持作物的完整性，再到實(shí)際的收獲過(guò)程，無(wú)論是從農(nóng)產(chǎn)品到田間耕作技術(shù)，還是從種植到提高采收質(zhì)量，人工智能和機(jī)器學(xué)習(xí)都在農(nóng)業(yè)領(lǐng)域得到了迅速的應(yīng)用。農(nóng)業(yè)中的人工智能可以分為五類(lèi)：

]agricultural robot

農(nóng)業(yè)機(jī)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.

現(xiàn)在許多技術(shù)人員都在開(kāi)發(fā)自主機(jī)器人并對(duì)其進(jìn)行編程，以處理重要的農(nóng)業(yè)任務(wù)，比如用比人類(lèi)更高的產(chǎn)能和更快的速度收割莊稼， 自動(dòng)化的出現(xiàn)有助于解決勞動(dòng)力短缺的問(wèn)題。

Crop and soil monitoring

作物和土壤監(jiān)測(cè)

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.

可以利用計(jì)算機(jī)視覺(jué)和深度學(xué)習(xí)算法來(lái)處理無(wú)人機(jī)捕捉到的數(shù)據(jù)，以及采用軟件技術(shù)來(lái)監(jiān)測(cè)作物和土壤健康狀況。由于砍伐森林使土壤變得貧瘠，并造成澇漬和鹽堿化，土壤分析機(jī)器的發(fā)展在未來(lái)幾年內(nèi)可能變得至關(guān)重要。

The ability to control the weeds

控制雜草的能力

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，約有250種雜草已經(jīng)對(duì)除草劑產(chǎn)生了抗性，在科研人員對(duì)玉米和大豆作物的雜草失控影響研究中，每年農(nóng)業(yè)經(jīng)濟(jì)會(huì)因這一問(wèn)題損失約430億美元，因此，使用自動(dòng)化和機(jī)器人技術(shù)幫助農(nóng)民找到更有效的方法來(lái)使莊稼不受雜草侵害尤為重要。

Usage of drones

無(wú)人機(jī)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，農(nóng)業(yè)領(lǐng)域的無(wú)人機(jī)市場(chǎng)預(yù)計(jì)將達(dá)到4.8億美元，而無(wú)人機(jī)的使用旨在幫助用戶提高作物產(chǎn)量和降低成本。首先編程無(wú)人機(jī)的路線，一旦部署該設(shè)備將利用計(jì)算機(jī)視覺(jué)記錄圖像，并將捕獲的數(shù)據(jù)上傳，通過(guò)算法來(lái)整合和分析捕獲的圖像和數(shù)據(jù)，以提供詳細(xì)的分析報(bào)告。

Proper use of chemical fertilizer

化肥的正確使用

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.

與衛(wèi)星相結(jié)合的機(jī)器學(xué)習(xí)算法可以用于預(yù)測(cè)天氣、分析作物的可持續(xù)性以及評(píng)估農(nóng)場(chǎng)是否存在病蟲(chóng)害，現(xiàn)在一些農(nóng)業(yè)軟件可以告訴用戶哪里需要化肥，這樣可以減少近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.

人工智能的出現(xiàn)，不但可以幫助提高農(nóng)業(yè)效率，還能解決行業(yè)面臨的挑戰(zhàn)，包括作物產(chǎn)量、土壤健康和除草劑抗性。農(nóng)業(yè)機(jī)器人將成為人工智能在農(nóng)業(yè)領(lǐng)域的重要應(yīng)用，通過(guò)可行的機(jī)制來(lái)解決上述問(wèn)題，能讓農(nóng)民接受最新的培訓(xùn)，以確保這些技術(shù)得到使用并繼續(xù)改進(jìn)，從長(zhǎng)遠(yuǎn)來(lái)看，這也有助于證明新技術(shù)的工具價(jià)值。