CGTN 2026-10-16·10月16日 · 周五报道阅读 0

CGTN:How AI is redefining precision farming in China(46th 世界粮食日专题)

AI 评分

69接近精选线

影响力22

信息增量14

专业深度13

信源权威14

时效性6

央媒在世界粮食日推出的AI+精准农业专题报道，主题相关且信源权威，但偏综述性、缺少新数据与独家信息，时效已过四天，可作主题聚合素材而非每日精选。

摘要

第 46 个世界粮食日主题 Innovation Today, Food Security Tomorrow。报道指出中国农业正从经验驱动转向数据驱动。AI 在智能育种方面,中国农业大学神农谷芯智能育种模型集成基因型数据与农业知识图谱,缩短育种周期 30% 以上,新品种选育时间从传统的 5—8 年压缩到 2—3 年;燕起一号/二号生菜品种在北京怀柔试种成功。AI 在田间管理方面,浙江龙泉市在约 733 公顷早稻田部署智能虫情监测系统,农药使用量减少 20%、病虫防治效果超 90%、病虫损失低于 5%。河南农机云平台连接超 13.8 万台机器,北斗导航无人收割机日作业超 13 公顷;湖南大通湖无人再生稻农场200 公顷仅需 4 人管理,农户每公顷净收入超 3 万元,被 FAO 列为亚太智慧农业示范案例。

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How AI is redefining precision farming in China

Technology 12:14, 16-Oct-2026

CGTN

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Content is automatically generated by Microsoft Azure Translator Text API. CGTN is not responsible for any of the translations.

Image 14: An illustration of intelligent agriculture. /VCG

An illustration of intelligent agriculture. /VCG

"Innovation Today, Food Security Tomorrow" is the theme for the 46th World Food Day, which takes place on Friday. As artificial intelligence (AI) moves from laboratories to fields, China's agriculture sector is undergoing a shift from experience-driven to data-driven farming.

AI is accelerating advances in seed breeding. The "Shennong Guxin" intelligent breeding model developed by China Agricultural University integrates genotypic data with agricultural knowledge graphs, drawing on tens of millions of data entries. The model has shortened breeding cycles by more than 30%, reducing the time needed to develop new varieties from the conventional five to eight years to two to three years. Two new lettuce varieties developed using the model, Yanqi No. 1 and Yanqi No. 2, have been successfully trialed in Huairou District, Beijing, where they have shown strong stress resistance and good quality.

AI is also making field management more precise. This year, Longquan City in east China's Zhejiang Province deployed intelligent pest-monitoring systems across about 733 hectares of early-season rice fields. Operating around the clock, the systems provide digital monitoring of crop pests and diseases. The initiative has reduced pesticide use by 20%, achieved pest-control effectiveness of more than 90% and kept crop losses caused by pests and diseases below 5%. Farmers can use pest alerts sent to their phones to guide drones in applying pesticides precisely to affected areas. According to the report, this means even people without farming experience can carry out targeted pesticide application.

Meanwhile, smart agricultural machinery is changing how farms are managed. Xinhua News Agency reported in June 2026 that central China's Henan Province's agricultural machinery cloud platform had connected more than 138,000 machines. At an unmanned farm in Qingfeng County, Beidou navigation enables driverless harvesters to cover more than 13 hectares in a day.

A July report by Science and Technology Daily described an unmanned ratoon-rice farm in Datong Lake, central China's Hunan Province, where agricultural machinery guided by Beidou navigation operates alongside a digital management platform. Operating errors are kept within 2.5 centimeters. The 200-hectare rice farm requires only four people for management, while farmers' net income can exceed 30,000 yuan per hectare. The project has been selected as an Food and Agriculture Organization of the United Nations Asia-Pacific model case for smart agriculture.

AI is redefining precision farming, but food security depends on more than technological progress. It also means ensuring that the people who cultivate the land can share in the benefits of innovation.