XIE Gao-di, CHEN Shen-bin, QI Wen-hu, LU Yao, YANG Xing-wei, LIU Cheng-liang. A MULTIDISCIPLINARY AND INTEGRATED STUDY OF RICE PRECISION FARMING[J]. Chinese Geographical Science, 2003, 13(1): 9-14.
Citation: XIE Gao-di, CHEN Shen-bin, QI Wen-hu, LU Yao, YANG Xing-wei, LIU Cheng-liang. A MULTIDISCIPLINARY AND INTEGRATED STUDY OF RICE PRECISION FARMING[J]. Chinese Geographical Science, 2003, 13(1): 9-14.

A MULTIDISCIPLINARY AND INTEGRATED STUDY OF RICE PRECISION FARMING

  • Received Date: 2002-09-29
  • Publish Date: 2003-03-20
  • 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.
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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A MULTIDISCIPLINARY AND INTEGRATED STUDY OF RICE PRECISION FARMING

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.

XIE Gao-di, CHEN Shen-bin, QI Wen-hu, LU Yao, YANG Xing-wei, LIU Cheng-liang. A MULTIDISCIPLINARY AND INTEGRATED STUDY OF RICE PRECISION FARMING[J]. Chinese Geographical Science, 2003, 13(1): 9-14.
Citation: XIE Gao-di, CHEN Shen-bin, QI Wen-hu, LU Yao, YANG Xing-wei, LIU Cheng-liang. A MULTIDISCIPLINARY AND INTEGRATED STUDY OF RICE PRECISION FARMING[J]. Chinese Geographical Science, 2003, 13(1): 9-14.

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