《2025年通成学典课时作业本高中英语选择性必修第一册人教版》

五、阅读理解
(2025·福州市八县(市)协作校联考)At Nature Fresh Farms in Leamington, Canada, there's something new among the rows of tomatoes, cucumbers, peppers and strawberries. Using thousands of sensors in every greenhouse, artificial - intelligence technology is helping the farm in aspects such as lighting, irrigation and harvest timing, aiming to increase the yields of its crops and reduce its use of power and water. Farmers use drones (无人机) to survey farms and look for information on weeds, pests and disease.
A lot of research into AI and agriculture is done at institutions, but it then needs to be tested in a network of smart farms. One of the farms is Emili's Innovation Farms. "We really show how they work in a commercial setting and in a sense, act as a risk reducer as we try out these technologies and then share with others (including other farmers) how they actually work as a means to make it easier to adopt and fully use those new technologies," said Keena, managing director of Emili.
It takes time to find out whether new technology has affected a crop, and this can be a barrier to adoption for farmers. Sometimes it's within a year, or within a few years. Keena said, "We can't ask them to take big risks on integrating new technologies on a grand scale as some of their operations in things are unproven." Innovation Farms addresses one of the barriers of people needing to be able to see these technologies rolled out in a full - scale and commercial way ahead of being able to adopt them themselves.
Farmers' trust levels are also a barrier. Data are important to AI models, but farmers need to be better inspired to share their data in order to make the technology better. But over time, there's an increase in engagement from farmers. "Farmers' engagement is absolutely critical to developing AI tools for agriculture. If they've seen it demonstrated essentially in their backyard through a smart farm, well, then we're that much further ahead toward adoption."
1. What can be learned about AI from Para. 1?
A. It shortens the production cycle.
B. It replaces employees.
C. It adds vegetable diversity.
D. It changes how farms run.
2. Why is AI technology tested at Emili's Innovation Farms?
A. To predict its future.
B. To confirm its dependability.
C. To expand its market.
D. To introduce its advantage.
3. What's the key to removing the barriers?
A. Bettering AI models.
B. Developing more AI tools.
C. Gaining farmers' recognition.
D. Enlarging the farm scales.
4. Which can be a suitable title for the text?
A. AI: a promoter of farmers' life
B. AI: a driver of agricultural development
C. Smart farms: the key to solving water scarcity
D. Smart farms: replacing traditional farming

答案： 五、[语篇解读] 本文是一篇说明文，主要介绍了人工智能对农业的帮助、目前面临的障碍以及前景。
1. D 细节理解题。根据第一段中“Using thousands of sensors in every greenhouse ... Farmers use drones to survey farms and look for information on weeds, pests and disease.”可知，人工智能改变了农场运营的方式，在多个方面助力农场运作。
2. B 推理判断题。根据第二段内容可知，在Emili的创新农场测试人工智能技术是为了确认其可靠性，让其他农民更放心地采用，降低风险。
3. C 推理判断题。根据第三段中this can be a barrier to adoption for farmers 以及第四段中Farmers’ trust levels are also a barrier可知，要消除这些障碍，关键在于获得农民的认可，农民只有认可了这些新技术，才会愿意去采用它们。
4. B 标题概括题。文章围绕人工智能技术在农业中的应用展开，介绍了其如何助力农场运营、在创新农场进行测试以确认其可靠性以及推广中面临的障碍与解决障碍的关键等内容，重点突出了人工智能对农业发展的推动作用，所以B项作为标题最合适。