Jilin Gongzhuling held an on-site observation meeting on the creation and application demonstration of corn smart farm model

China News Service, Changchun, September 21 (Tan Weiqi Jin Qiao) On the 21st, an on-site observation meeting for the creation and application demonstration of corn smart farm models was held in Gongzhuling, Jilin, hosted by the Staple Grain Engineering Research Center of the Jilin Academy of Agricultural Sciences (Northeast China Agricultural Science and Technology Innovation Center). Academicians, experts from the industry and representatives of new agricultural business entities from all over the country gathered in the fields to explore paths for the large-scale and popular development of black soil smart agriculture in Northeast China.

The 1,000-acre demonstration base for this observation was jointly built by the Jilin Academy of Agricultural Sciences and Jilin Jingfa Agricultural Industry Development Co., Ltd. Relying on the core technical support of the team of Wang Lichun, an academician of the Chinese Academy of Engineering, it integrates scientific research technology, base resources and market capital advantages to transform smart agricultural technology from theoretical models and exhibition hall displays into actual productivity in the field.

Today, the base has built a three-dimensional, digital smart planting system. Through intelligent equipment such as drone remote sensing field patrols, intelligent robot dog field surveys, and all-weather moisture sensor monitoring, combined with 5G data transmission and intelligent management and control platforms, global collection and intelligent analysis of field agricultural data can be realized, allowing agricultural production to get rid of traditional empirical judgments and enter a new stage of "data-driven, precision planting."

Yang Jinsheng, a researcher at the Jilin Academy of Agricultural Sciences, said that the team’s self-developed seedling intelligence system can accurately identify key information such as corn emergence rate and plant growth, with a recognition accuracy of 88%. The intelligent robot dog equipped with lidar can accurately collect data such as corn stem thickness and planting density, and the measurement error is controlled within 5%, providing accurate data basis for refined field management.

The implementation of smart agricultural technology can effectively promote the improvement of quality and efficiency of field operations. The base relies on aerial monitoring throughout the growth period to accurately compare the differences in crop growth under different sowing equipment and operating parameters, providing scientific support for optimizing the planting process and adjusting operating standards, and achieving precise and efficient upgrades in field operations.

Wang Lichun said that the core of the development of smart agriculture is implementation and practicality. Priority should be given to promoting agricultural technologies with controllable costs, easy operation, and intuitive results. The focus should be on overcoming the problem of low-cost infrastructure, so as to achieve cost savings and consumption reduction while stabilizing and increasing production, and calculating the "economic accounts" of agricultural production.

The observation meeting also focused on displaying a number of core planting technology achievements, and scientific research experts answered questions on the spot and imparted practical experience to more than 50 representatives of large planting households and family farms. Wang Zhiquan, general manager of Jilin Jingfa Agricultural Industry Development Co., Ltd., said that in the future, he will continue to improve the smart planting system, summarize replicable and promoteable planting models, radiate and drive the digital transformation and upgrading of regional agriculture, and activate new momentum to increase production and income in black soil.