摘要
In terms of demands of rice farming in the southern China, the information processing system and the yield measurement system that is installed in combine harvester, are designed and completed. Now the systems have been used in demonstration site in the Experiment Base of Shanghai Precision Agriculture. Based on the idea of spatial-oriented, object-oriented, user-oriented, the Farm Geographic Information System for precision farming of rice was developed, which is characterized by intelligence and visualized. The Decision-making Management System is integrated with rice growth model, expert model for rice cultivation. The DGPS, RS, GIS and intelligence sensors and computer technique were adopted in building the artificial intelligence system for measuring grain yield that is installed in combine harvester, so the combine harvester could provide the grain yield distribution map real-timely. The environmental and economic assessment shows that the precision rice farming applied in the demonstration site will benefit the society, economy and ecology greatly.
In terms of demands of rice farming in the southern China, the informationprocessing system and the yield measurement system that is installed in combine harvester, aredesigned and completed. Now the systems have been used in demonstration site in the Experiment Baseof Shanghai Precision Agriculture. Based on the idea of spatial-oriented, object-oriented,user-oriented, the Farm Geographic Information System for precision farming of rice was developed,which is characterized by intelligence and visualized. The Decision-making Management System isintegrated with rice growth model, expert model for rice cultivation. The DGPS, RS, GIS andintelligence sensors and computer technique were adopted in building the artificial intelligencesystem for measuring grain yield that is installed in combine harvester, so the combine harvestercould provide the grain yield distribution map real-timely. The environmental and economicassessment shows that the precision rice farming applied in the demonstration site will benefit thesociety, economy and ecology greatly.
基金
the Knowledge Innovation Project of the Chinese Academy of Sciences(No.KZCX2-412).