Digital intelligent technology and equipment have been widely applied in the diversified scenarios of agricultural production in farmland. This study aims to introduce the overall architecture and technical implementation into modern digital intelligence, according to the current high-standard farmland. A summary was given on the concept, principles, and construction of digital intelligent farmland. The current status was also analyzed to prospect the trend of digital intelligent farmland in China. The smart farmland technology demonstration base greatly contributed to promoting the construction of high-standard farmland. Firstly, there were the actual production needs of agricultural crops in the intelligent technology demonstration base of Qihe County's digital intelligent ultrahigh-yield planting system science and technology college of China Agricultural University. Various environmental, soil, pest and disease, water, and fertilizer information sensors were also equipped with intelligent technology to support mechanized equipment. A digital system of application technology was integrated for the wheat and maize smart farmland, such as big data, the Internet of Things, cloud computing, and artificial intelligence. The digital intelligent ultrahigh-yield was achieved in the real-time and accurate acquisition of long-term information data on the wheat and corn through field environment stations and multispectral video, according to the actual production needs. There was accurate correlation data of multi-dimensional production, such as farmland vegetation, crop growth status, environmental indicators, and trends. The collection was obtained in the production information, scientific planting, unmanned mechanized operation, intelligent management, and full process visualization traceability of wheat and maize crops in digital intelligent ultrahigh-yield planting farmland. The technological equipment and systems were applied, including farmland agricultural information acquisition and monitoring, water and fertilizer integrated micro spray hose irrigation, intelligent pest and disease management, intelligent operation key equipment and technology, planting management, and traceability. An intelligent monitoring, control, and decision-making cloud platform was established for the total factor production of human-machine crops. Production management depended mainly on the international standard, intelligent, scientific, and green wheat and maize rotation planting modes, and technical equipment. An organic integration was also established for crop information, agricultural technology, and agricultural machinery for crop production, planting, and management decision-making. Grain production capacity was improved through a digital super high-yield farmland model. Full traceability aims to achieve high-quality agricultural materials, high yields efficient and safe production. The digital intelligent farming production and management model was implemented in the traditional farmland. Labor costs were reduced by about 50%, pesticide usage by about 30%, fertilizer savings by 15%-25%, and water savings by 50% in conventional irrigation, and 20%-30% in drip irrigation. There was a yield increase of about 15%-25% per unit area and an efficiency increase of about 25%. Crop information acquisition was realized for the timely management and maintenance at the high mechanization level in farmland. The informatization, mechanization, and intelligent operation of farmland crop production were basically achieved in the standardized, digitized, and traceable management of the entire process of wheat and maize crop production. The digital intelligent ultrahigh-yield can provide the scientific decision-making and theoretical mode of super high-yield planting for crop production management in farmland. A leading demonstration role was obtained in the construction and promotion of high-standard farmland in China. The significant progress can also provide a strong reference to greatly assist the rapid development of digitalization levels in farmland.