Papers by Author: Jun Sun

Abstract: In order to improve the management of crops in digital greenhouse, and give crops a healthy growth, the digital greenhouse expert system is developed based on the growth knowledge of agricultural greenhouse, computer technology and artificial intelligence technology. The expert system can provide basic information about crop growth, cultivation and management techniques, pest control and other diagnostic functions, as well as expert online answering question and so on. The development of the system is advantageous to standardize digital management of greenhouse crop cultivation, reduce the burden of planting staff, and it also can improve crop quality.

Abstract: The research and applied technology about agriculture are attracting increasing attention, and especially digital greenhouses have become an important part of efficient agriculture. In this paper, basing on the environmental factors and crops growth status information, management system sorts out, analyzes and summarizes the data to give the best environment parameters for different crops in different external environment and to give the best growth parameter value for crop in different growth stages. A standard database of digital greenhouse will be built in this paper. Basing on the database, automatic identification and query model will be built. The system will provide daily operation schedule for crops during the whole growth of crops. And all kinds of growth parameters information in the process of crops growth will be analyzed by the system. Then the system compares the crop growth situation with standard database and sends the abnormal information to users timely. Simultaneously, real-time video monitoring can be used. Some daily routine work information can be recorded and suggested, such as watering, fertilizing and weeding etc. Based on crops growth and development patterns, the environment conditions are controlled and high quality, high yield, and efficient cultivation of plants will be realized.