In order to clarify the development status of mechanized technology for picking up stones in farmland soil, through the PatSnap patent retrieval platform, the patent measurement method was used to analyze the overall situation, application trend, application area, applicant situation and related typical models of the global patent application of mechanized technology for picking up stones in farmland soil during the period from January 1, 1990 to October 24, 2022, and the innovation status of this technology field was displayed by visual method. The results show that the mechanization technology of soil stone picking in the global farmland has experienced from the gestation period, the initial development period, the adjustment period to the rapid development period. A total of 583 patents in the field of stone picking mechanization technology have been applied globally, of which 149 patents in the field of stone picking mechanization technology have been applied by China, accounting for about 25.6% of the world. The relevant patent applications in China are mainly concentrated in Anhui, Shandong and Jiangsu Provinces. Among them, the number of patent applications applied by enterprises accounts for 69.8%, and the number of patent applications applied by scientific research institutes and universities accounts for 14.8%. According to the structural principle, the global farmland soil stone picking machinery can be divided into gear type, shovel chain type, shovel cage type and tooth rake type. The representative models and their structural characteristics are also introduced. It is pointed out that there are still some problems in our country, such as weak research on the mechanism of stone picking machine, poor stability and reliability of stone picking machine, low economic benefit of stone picking machine and difficult to popularize. According to the national conditions of our country, it is suggested that Chinas stone picking machinery needs to accelerate the basic theoretical research of stone picking machine, improve the adaptability and reliability of the machine, as well as the diversification of technology and intelligent equipment.