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Agricultural equipment is developing towards intellectualization. Intelligent measurement and control technology is a core technology of intelligent agricultural equipment. The intelligent measurement and control technology of agricultural equipment uses agricultural machinery equipment as the carrier, including technologies such as intelligent perception of agricultural machinery operation-related information, precise monitoring, and operation decision-making and management. At present, the Chinese intelligent measurement and control for agricultural equipment has a problem of low degree of localization in high-end equipment and core technology. The research status in China and abroad about the core technologies of intelligent measurement and control technology of agricultural equipment was summarized, including intelligent sensing technology for agricultural machinery operations, precise monitoring technology for agricultural equipment, and intelligent decision-making and management technology for agricultural machinery operations. Intelligent sensing technology has produced many achievements, mainly in crop growth information, soil and agricultural machinery operation status. The research progress of precision monitoring technology for agricultural equipment in the fields of ploughing depth, flat land, soil disinfection, seeding, plant protection and harvesting was reviewed. Intelligent decision-making and management technology of agricultural equipment operation has made technological breakthroughs in quality supervision and dispatching decision-making of agricultural machinery. Intelligent monitoring and control technology of agricultural equipment has been widely used in land tillage machine, soil sterilizer, seeder, fertilizer applicator, plant protection machine, harvester and agricultural equipment operation management platform, and the problems to be solved in each application link were analyzed. Finally, the future development directions of the intelligent measurement and control technology for agricultural equipment were put forward: research on system technology of intelligent measurement and control for agricultural machinery; research on key monitoring and control technology for autonomous operation of agricultural machinery on unmanned farm; research and development of core components and sensors of agricultural machinery in complex field environment; and research on operation decision model supported by big data of agricultural machinery.