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精准农业,靶向除草

  • 2026-08-19 08:59:51
精准农业,靶向除草

巧了。刚读了消息“长春理工大学王宪涛教授团队攻克国产激光除草”,接着就看到了这篇文章:

https://finance.sina.com.cn/jjxw/2026-07-08/doc-inihatua4883105.shtml

激光除草机器人:开启精准农业新路径 

【短评】本文体裁是说明文,主题语境与题材为“人与社会之科技赋能农业”,文章大意是华工科技研发的HG激光除草机,针对传统除草剂带来的环境问题,介绍其工作原理、突出优势以及在全球可持续农业中的应用前景。本文体现绿色发展价值,突出技术创新实践能力,彰显科学探究素养,展示智慧农业生产情境,具有推动农业绿色转型的社会意义和科技助力农业提质增效的启示;本文共有5个自然段,各个段落之间的结构关系是引入新技术 — 交代研发背景 — 解析工作机理 — 罗列技术优势 — 展望行业发展,逻辑逐层推进。

【英汉对照】

What if we could fight farm weeds with a precise strike instead of blanket chemicals? This vision is now becoming a reality in the farmlands of China. The HG LaserWeeder, a new machine developed by Huagong Tech, marks a major breakthrough in precision agriculture by making targeted weed control a practical reality. 如果我们能够精准清除农田杂草,而不是大面积施用化学药剂,将会如何?这一设想如今正在中国的农田成为现实。华工科技研发的全新设备HG激光除草机,让靶向除草落地实用,标志着精准农业取得重大突破。

This advancement responds directly to the persistent problems associated with traditional farming. Decades of heavy reliance on chemical herbicides (除草剂) have caused significant environmental harm, including soil degradation and water pollution. For China, a nation with vast agricultural lands, finding a sustainable solution is a matter of particular urgency. 这一技术进步直接应对传统农业长期存在的各类难题。数十年来过度依赖化学除草剂,已经造成土壤退化、水体污染等严重环境破坏。对于耕地广袤的中国来说,找到可持续的解决办法已是十分紧迫。

So, how does this “robot farmer” work? At its core, it combines artificial intelligence with advanced light technology. Its AI-powered visual system, trained on a vast database of plant images, acts as a smart “eye” that can distinguish weeds from crops in milliseconds. Once a weed is spotted, the robot delivers a precise laser beam (激光束) to each weed’s growth center, destroying key cells and causing the plant to die naturally, all without harming the surrounding crops or the soil. 那么,这款“机器农民”是如何运作的?它的核心是把人工智能和先进光学技术结合在一起。依托海量植物图像数据库完成训练的人工智能视觉系统,化身一双智能 “眼睛”,能够在数毫秒之内分辨杂草与农作物。一旦发现杂草,设备便向杂草生长中枢发射精准激光束,破坏关键细胞使其自然枯死,全程不会伤害周边作物以及土壤。

The advantages of this approach are substantial. In terms of efficiency, an advanced model equipped with 32 laser heads can destroy up to 320,000 weeds per hour, which is four to eight times more efficient than traditional methods. Through continuous operation, it achieves a weed control rate of over 95%, far outperforming hand weeding and obviating the need for this back-breaking task. Ecologically, it significantly reduces the use of chemicals, thereby cutting off a primary source of agricultural pollution. 这套方案的优势十分显著。在效率方面,搭载32个激光头的高配机型每小时最多可清除32万株杂草,效率是传统方式的4-8倍。持续作业状态下除草率超95%,效果远超人工除草,省去这项繁重辛苦的劳作。从生态角度,它大幅减少化学品施用,由此切断农业污染的一大主要来源。

The introduction of this technology is part of a broader shift toward automated and sustainable agriculture in China and abroad. As farms worldwide seek to enhance efficiency while minimizing environmental impact, robotic solutions like the Hg LaserWeeder are likely to become increasingly common. This technology signals a move toward precision agriculture, where data-driven tools enable farmers to manage their crops with greater accuracy and less dependence on chemicals, pointing the way for a cleaner, more efficient future for farming. 这项技术的投入使用,是国内外农业向着自动化、可持续模式大转型的组成部分。全球各地农场都力求提升效率,同时降低环境损耗,HG 激光除草机这类机器人解决方案大概率会越来越普及。该技术预示着精准农业的发展趋势,数据驱动工具帮助农户更加精准地管护作物,降低对化学品的依赖,为农业打造洁净高效的未来指明方向。

【题干与选项】

1. What is the main factor behind the development of the Hg LaserWeeder? 研发 HG 激光除草机的主要驱动因素是什么?

A. The shortage of clean water. 清洁水资源短缺。(错误:原文第二段仅提及水污染,没有提到清洁水短缺,属于无中生有的干扰信息。)

B. The vast farmlands in China. 中国广袤的农田。(错误:第二段广袤农田属于客观国情背景,并非研发该机器的核心动因,不能构成因果关系。)

C. The pollution from chemicals. 化学品造成的污染。(正确:第二段化学除草剂带来 soil degradation and water pollution 环境危害,为化解该难题催生此设备,是研发的主因。)

D. The failing power of herbicides. 除草剂药效衰退。(错误:全文没有任何语句涉及除草剂药效下降,属于原文未提及的信息。)

2. What is the main role of the visual system in the Hg LaserWeeder? HG 激光除草机当中视觉系统的主要功能是什么?

A. To deliver laser beams. 发射激光束。(错误:第三段发射激光是后续执行环节,并不是 visual system 视觉系统承担的本职工作。)

B. To protect nearby crops. 保护附近农作物。(错误:不损伤作物是激光作业带来的客观结果,并非视觉系统自身的核心功能。)

C. To capture plant images. 采集植物图像。(错误:海量植物图像仅用于前期训练数据库,不是设备运行时视觉系统的主要任务。)

D. To identify target weeds. 识别目标杂草。(正确:原文第三段 distinguish weeds from crops 和选项 identify target weeds 同义复现,视觉系统用来分辨杂草庄稼。)

3. What does the underlined word “obviating” in paragraph 4 mean? 第四段划线词“obviating” 是什么含义?

A. Facing. 面对。(错误:代入第四段句子语义逻辑不通,机器除草是免除人工劳动,不是去面对繁重劳作。)

B. Removing. 消除、免除。(正确:obviating the need 指消除对人工除草的需求,机器除草效果优异,免去人工除草这项苦差事。)

C. Sharing. 分享。(错误:把该词义代入原文,和上下文机器替代人工除草的语义完全不匹配。)

D. Delaying. 推迟。(错误:技术直接替代人工除草,不是把人工除草这项工作向后拖延,逻辑与原文相悖。)

4. What can we infer about future agriculture from the last paragraph? 根据最后一段,我们可以推断未来农业将会怎样?

A. It will rely more on smart robotic tools. 它将会更多依赖智能机器人设备。(正确:末段 robotic solutions…become increasingly common,说明未来农业智能机器人工具的使用会越来越多。)

B. It will witness more global cooperation. 将会出现更多国际合作。(错误:末段只说国内外都发展该技术,全文找不到有关全球合作的相关表述。)

C. It will prioritize environment over yields. 将环境置于产量之上优先考量。(错误:原文追求效率与环境兼顾,并没有提出环境优先级高于农作物产量。)

D. It will improve the social status of farmers. 将会提升农民的社会地位。(错误:整篇文章只讲农业技术,完全没有涉及农民社会地位的相关内容。)

【答案】CDBA 

【长难句分析】

长难句1:Its AI-powered visual system, trained on a vast database of plant images, acts as a smart “eye” that can distinguish weeds from crops in milliseconds.

译文:依托海量植物图像数据库完成训练的人工智能视觉系统,化身一双智能 “眼睛”,能够在数毫秒之内分辨杂草与农作物。

句子结构:主句主干 Its AI-powered visual system acts as a smart “eye”;trained on … 是过去分词短语作后置定语修饰system;that引导定语从句修饰先行词 eye。

重点词汇:AI-powered adj. 人工智能驱动的;distinguish…from… 把……和……区分开;in milliseconds 在数毫秒间。

长难句2:This technology signals a move toward precision agriculture, where data-driven tools enable farmers to manage their crops with greater accuracy and less dependence on chemicals, pointing the way for a cleaner, more efficient future for farming. 

译文:该技术预示着精准农业的发展趋势,数据驱动工具帮助农户更加精准地管护作物,降低对化学品的依赖,为农业打造洁净高效的未来指明方向。

句子结构:主句 This technology signals a move toward precision agriculture;where 引导非限制性定语从句修饰 precision agriculture;pointing… 现在分词短语作结果状语。

重点词汇:signal v. 预示;data-driven adj. 数据驱动的;enable sb. to do sth. 使某人得以做某事;dependence on 对……的依赖;point the way for为……指明方向。

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  1. CONNECT:[ UseTime:0.001140s ] mysql:host=127.0.0.1;port=3306;dbname=h_mffb;charset=utf8mb4
  2. SHOW FULL COLUMNS FROM `fenlei` [ RunTime:0.002003s ]
  3. SELECT * FROM `fenlei` WHERE `fid` = 0 [ RunTime:0.000822s ]
  4. SELECT * FROM `fenlei` WHERE `fid` = 63 [ RunTime:0.000735s ]
  5. SHOW FULL COLUMNS FROM `set` [ RunTime:0.001644s ]
  6. SELECT * FROM `set` [ RunTime:0.000661s ]
  7. SHOW FULL COLUMNS FROM `article` [ RunTime:0.001891s ]
  8. SELECT * FROM `article` WHERE `id` = 570638 LIMIT 1 [ RunTime:0.019778s ]
  9. UPDATE `article` SET `lasttime` = 1787102443 WHERE `id` = 570638 [ RunTime:0.003378s ]
  10. SELECT * FROM `fenlei` WHERE `id` = 64 LIMIT 1 [ RunTime:0.000616s ]
  11. SELECT * FROM `article` WHERE `id` < 570638 ORDER BY `id` DESC LIMIT 1 [ RunTime:0.001212s ]
  12. SELECT * FROM `article` WHERE `id` > 570638 ORDER BY `id` ASC LIMIT 1 [ RunTime:0.003128s ]
  13. SELECT * FROM `article` WHERE `id` < 570638 ORDER BY `id` DESC LIMIT 10 [ RunTime:0.031127s ]
  14. SELECT * FROM `article` WHERE `id` < 570638 ORDER BY `id` DESC LIMIT 10,10 [ RunTime:0.032949s ]
  15. SELECT * FROM `article` WHERE `id` < 570638 ORDER BY `id` DESC LIMIT 20,10 [ RunTime:0.002012s ]
0.256716s