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Titlebook: Computer and Computing Technologies in Agriculture XI; 11th IFIP WG 5.14 In Daoliang Li,Chunjiang Zhao Conference proceedings 2019 IFIP Int

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Going Beyond the Basics with Spry and Ajax,ees at different growth stages. And the feasibility of the method is verified by 12 year old open central leader system apple trees, the results show that compared with the manual data acquisition method, the method improves the efficiency by more than 5 times, and the error rate is less than 6%. It
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https://doi.org/10.1007/978-1-4302-1611-7ility of three inversion models, the robustness tests were conducted based on the independent data sets under three different conditions in 2015/2016. The result showed that the RFR model had the best estimation accuracy among the three models, and the value of R. and RMSE in modeling set respective
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Study on Precision Fertilization Model Based on Fusion Algorithm of Cluster and RBF Neural Network,center. Finally, an improved RBF neural network model is established. In this paper, the model is applied to the maize precision operation demonstration base, soil nutrient and maize yield as the input of neural network, using the precision fertilization amount of maize as output. The model of preci
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An Agricultural Habitat Information Acquisition and Remote Intelligent Decision System Based on the, environment temperature, Light intensity, Carbon dioxide content, soil temperature, soil humidity, soil pH, soil salt. The data processing and service system execute remote data storage and on-line information release. The intelligent decision support system achieve real-time warning of abnormal p
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Advances in Monitoring Soil Nutrients by Near Infrared Spectroscopy,hnology of common data processing method, and analysis the advantages and disadvantages of different detection methods for soil nutrient direction of near infrared spectroscopy technology put forward suggestions to further research.
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Fruit Trees 3D Data Acquisition and Reconstruction Based on Multi-source,ees at different growth stages. And the feasibility of the method is verified by 12 year old open central leader system apple trees, the results show that compared with the manual data acquisition method, the method improves the efficiency by more than 5 times, and the error rate is less than 6%. It
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