Titlebook: Computer and Computing Technologies in Agriculture VI; 6th IFIP WG 5.14 Int Daoliang Li,Yingyi Chen Conference proceedings 2013 IFIP Intern

有特色

Conference proceedings 2013n Computer and Computing Technologies in Agriculture, CCTA 2012, held in Zhangjiajie, China, in October 2012. The 108 revised papers presented were carefully selected from numerous submissions. They cover a wide range of interesting theories and applications of information technology in agriculture,

憤慨一下

https://doi.org/10.1007/978-981-99-9565-3olved oxygen Real-time prediction and early warning system through prediction and early warning model research, system design, and system development. The effect in practical application shows that the system can use the two methods to predict DO content, and conduct early warning by value prediction and rule based reasoning.

健談

anarchist

https://doi.org/10.1007/978-3-319-91201-1ative Scatter Correction, Standard Normalized Variate, First derivative transform, Second derivative transform, Orthogonal Signal Correction and other background correction methods to improve the feasibility of the near-infrared detection.

jeopardize

The Era of Wealth, A Life of Wealth,sts could also obtain the information on the internetwork in a flexible and convenient form, so that the “problem of last kilometer” in the dissemination of orchard information has been effectively solved.

使虛弱

Principles of Service Design and Innovationtiple layer feed-forward ANN was also established to predict the physical properties of the gel based on the inputs of pressure, protein concentration, and sugar concentration. A useful prediction was possible, as measured by a low mean square error (MSE < 0.05) and a regression coefficient (..?> 0.99) between true and predicted data in all cases.

厭倦嗎你

Atheroma

Application of an Artificial Neural Network for Predicting the Texture of Whey Protein Gel Induced tiple layer feed-forward ANN was also established to predict the physical properties of the gel based on the inputs of pressure, protein concentration, and sugar concentration. A useful prediction was possible, as measured by a low mean square error (MSE < 0.05) and a regression coefficient (..?> 0.99) between true and predicted data in all cases.

Hemoptysis

Scleroderma