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| Content Provider | Springer Nature Link |
|---|---|
| Author | Xie, Gao di Chen, Shen bin Qi, Wen hu Lu, Yao Yang, Xing wei Liu, Cheng liang |
| Copyright Year | 2003 |
| Abstract | 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. |
| Starting Page | 9 |
| Ending Page | 14 |
| Page Count | 6 |
| File Format | |
| ISSN | 10020063 |
| Journal | Chinese Geographical Science |
| Volume Number | 13 |
| Issue Number | 1 |
| e-ISSN | 1993064X |
| Language | English |
| Publisher | Science Press |
| Publisher Date | 2003-01-01 |
| Publisher Place | Beijing |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | precision farming rice technology integration Geography (general) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Earth and Planetary Sciences Geography, Planning and Development |
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