The fertile fields of the Yellow River Basin, the gullies and ridges of the Loess Plateau, and the oasis farmland of the Hexi Corridor... Many areas in China have broken the limitations of traditional farming that relies on experience and weather, deeply integrating artificial intelligence (AI) technology into the entire process of spring plowing, achieving a transformation and upgrading from "passive monitoring" to "active prediction", and bringing digital technology into the fields, becoming a "hard core support" for farmers to increase income and stabilize grain production. In 2026, the No. 1 central document of the Central Government clearly proposed that "developing new agricultural productivity according to local conditions and promoting the combination of artificial intelligence and agricultural development", which provides guidance for the current national spring plowing production. In recent days, reporters from Science and Technology Daily have visited Henan, Gansu, Shanxi and other places to witness the beautiful scene of AI empowering smart spring plowing. Protecting the initiative of spring plowing "In the past, planting relied entirely on guessing droughts, floods, diseases, and pests. Now, with AI early warning, we can follow the data and have more confidence. ”Recently, in Liwa Village, Wenqu Town, Dengzhou City, Nanyang, Henan Province, planting base manager Zhai Lianji showed reporters the "Smart Farming" app on his phone, expressing his admiration for the changes AI has brought to agricultural production. The reporter learned that as the core area of grain production, facing the challenges of late sowing and complex seedling situation of wheat this year, Henan has taken digital technology as a key lever for spring management, and built a "sky earth integration" monitoring network, allowing every wheat field to have an exclusive "AI manager". At the 10000 acre wheat demonstration field in Zhoukou National Agricultural High tech Zone, multispectral unmanned aerial vehicles cruise at low altitude, like conducting a "CT physical examination" of wheat fields, collecting real-time core data such as seedling conditions, soil moisture, pests and diseases, and synchronously transmitting it back to the agricultural big data platform. AI algorithms quickly analyze data and generate personalized management prescriptions. The grain grower lightly taps the remote control, and the drone follows the Beidou navigation to accurately spray fertilizer. As of now, 53 million mu of high standard farmland in Henan has been equipped with digital facilities, and the area of drone flight defense operations has exceeded 40 million mu. AI prediction has shifted the focus of spring management from "blind response" to "precise force". In the vast land of Longyuan, Gansu, AI prediction has been extended to the entire spring plowing chain, achieving full controllability from seed layout to seedling management. The reporter learned from the Department of Agriculture and Rural Affairs of Gansu Province that the province relies on AI big data analysis to issue guidance on the layout of spring sowing crop varieties, delineating a "good variety map" for the five main crops, and scientifically selecting seeds based on local climate and soil endowments. In Wushan, Tianshui, crop protection drones equipped with AI recognition systems can predict the trend of pest and disease occurrence in advance and carry out precise aerial control operations; In the facility greenhouses of Minqin and Yongchang, IoT sensors monitor crop growth in real time, and AI water fertilizer integrated machines automatically mix fertilizers to predict crop fertilizer needs, abandoning the traditional extensive mode of large-scale irrigation and fertilization, making spring plowing production in the Gobi oasis more technologically advanced. In Gansu, from field mechanization and intelligent operations to facility agriculture and fine control, AI technology permeates every detail of the field, transforming spring plowing from "relying on experience" to "relying on data" and activating new agricultural productivity. Through the operation of "Assisting in Cost Reduction and Efficiency Increase", artificial energy can be saved by 80%, water and fertilizer can be saved by 20%, and yield can be increased by 20%. ”Recently, at the first "unmanned farm" for wheat and corn rotation in Henan Province, Zhou Jianshi, the chairman of the Huinong Agricultural Machinery Farmers Cooperative in Qingfeng County, told reporters that "although spring management is busy, it is not manpower that is busy." Here, meteorological, soil, crop images and data transmitted by IoT devices flood into the "unmanned farm" smart platform. The AI algorithm model developed by the team from Henan Agricultural University has taken over, calculating when to water, how much fertilizer to apply, and where to apply medicine like an old trick. Henan focuses on the core demand for grain production and widely applies AI technology to achieve cost savings and efficiency improvement. In the high standard farmland of Suiping County, Zhumadian, variable fertilization agricultural machinery automatically adjusts the sowing amount according to AI platform instructions, doubling the fertilization amount in weak seedling areas, saving more than 15% fertilizer and water per mu, and improving operational efficiency by dozens of times compared to traditional methods. Currently, in the Huangfen million acre demonstration base for high-quality, high-yield, and efficient grain production in Ruicheng County, Shanxi Province, the continuous greening of wheat is thriving. Previously, the whole family had to work together on a hundred or ten acres of land. Now, with the help of an intelligent irrigation system, three people on our farm can stably manage 2000 acres of wheat, saving time, effort, and money. ”Hu Tianni, a farmer from Xupo Village, Dongyang Township, Ruicheng County, smiled and introduced that through AI precision irrigation, the irrigation water volume per mu is controlled at 15-20 cubic meters, which saves more than 30% of water compared to traditional irrigation. AI technology is quietly changing traditional farming models. Nowadays, spring plowing is no longer a laborious task of "facing the yellow soil and turning back to the sky", but an easy task of "lightly tapping with fingertips and data protection". (New Society)