作者机构:
[Li, Jing] Wuhan Polytech Univ, Sch Art & Design, Wuhan 430048, Hubei, Peoples R China.
通讯机构:
[Li, Jing] W;Wuhan Polytech Univ, Sch Art & Design, Wuhan 430048, Hubei, Peoples R China.
关键词:
Central Junggar area;T-R sequence. Sangonghe Formation;depression lake basin;shallow delta
摘要:
As an important part of the urban-rural fringe area, vegetable greenhouse cultivation not only plays an important role in the supply of urban fresh vegetables, but also promotes the development of the local economy to a large extent. However, when vegetable greenhouse cultivation is in the process of vegetable production, pesticide environmental pollution problem is very severe. With the development of society, people's environmental protection concepts have been continuously strengthened and the requirements for the ecological environment have been continuously improved. During the greenhouse planting period, in view of the pest problem of vegetables, how to select the types of pesticides and use the appropriate amount of pesticides has become a major problem. To this end, this paper studies and designs an intelligent spraying management system for vegetable greenhouses based on image recognition, which can help vegetable farmers automatically identify vegetable diseases and insect pests in a timely and accurate manner and control the pests through the intelligent spray system. Taking tomato pest identification and diagnosis as an example, the effective pest identification rate of the system reaches 89%. The intelligent vegetable planting box designed in this paper can increase the rationality of the use of pesticides, thereby reducing the pollution of the ecological environment.