Scene construction of unmanned farmlands and the exploration of its practical teaching mode
[Objective]Construction of unmanned farmland scenes is the cornerstone for developing smart agriculture and an inevitable choice for accelerating the modernization of agriculture in China.In addition,it has a positive effect on accelerating research in artificial intelligence.Strengthening analytical research on the characteristics of unmanned farmlands and correspondingly constructing practical teaching bases are of great importance for building world-class universities with high-level agricultural disciplines and talent cultivation.[Methods]Therefore,this study combines the practice of constructing unmanned farms at the Agricultural Experiment Station of Zhejiang University and related cooperative enterprises,as well as ongoing practical teaching,to investigate the characteristics of unmanned farmland scenarios and the paradigm of training.First,the analysis and discussion contents of this study are mainly retrieved from actual training at the Smart Agriculture Practice Teaching Base at the Agricultural Experiment Station of Zhejiang University.Second,the analysis of relevant farmland characteristics is combined with ongoing research activities of smart agriculture.Third,the construction content integrates the actual work conducted at the demonstration site of the cooperative enterprise.Fourth,we also retrieve some materials from the practical work of the Agricultural Experiment Station of Zhejiang University.[Results]The results indicate that the characteristics of unmanned farmland scenes mainly include three aspects.The first involves information acquisition equipment at scales of space,air,and ground levels,including the Beidou satellite navigation system,a resource satellite,an unmanned aerial vehicle,a monitoring instrument system for crop growth,and environmental factors.The second is the decision support system of unmanned farms,which includes intelligent decision-making for planting,land preparation,and field management.The intelligent planting decision system must determine appropriate sowing or transplanting time based on actual weather conditions for each season as well as specific instructions such as seed rate,row space,and sowing depth.The intelligent farmland preparation decision-making system must command unmanned tractors to plow the land,achieving the requirement that the height variation of the whole field be within 3 cm.The unmanned agricultural machinery equipment system should adapt to the double planting system of rice and wheat in the Hangzhou region.The third is an unmanned agricultural machinery and equipment system that integrates agricultural machinery and agronomy to adapt to various cropping systems.It can meet the demands of the entire process of field operations,such as irrigation,fertilization,and spraying,for different crops in various planting systems.Students from relevant disciplines at Zhejiang University have conducted different types of practical teaching along with the built unmanned farmland scenes.The construction of unmanned farmland scenes has promoted the development of related disciplines and provided rich practical teaching platforms.[Conclusion]The Agricultural Experiment Station of Zhejiang University has attained remarkable achievements in constructing unmanned farmland scene practical teaching bases and has successfully conducted a series of practical teaching and scientific research.
万方数据
维普
