Computer And Computing Technologies In Agriculture, Volume by Qian Zhang (auth.), Daoliang Li (eds.)

By Qian Zhang (auth.), Daoliang Li (eds.)

International Federation for info Processing

The IFIP sequence publishes state of the art ends up in the sciences and applied sciences of data and conversation. The scope of the sequence comprises: foundations of machine technology; software program conception and perform; schooling; laptop functions in expertise; communique structures; platforms modeling and optimization; info platforms; pcs and society; desktops expertise; safeguard and safety in info processing platforms; man made intelligence; and human-computer interplay. lawsuits and post-proceedings of referred foreign meetings in laptop technological know-how and interdisciplinary fields are featured. those effects frequently precede magazine booklet and characterize the most up-tp-date examine. The crucial target of the IFIP sequence is to inspire schooling and the dissemination and alternate of data approximately all elements of computing.

For additional information in regards to the three hundred different books within the IFIP sequence, please stopover at www.springer.com.

For additional info approximately IFIP, please stopover at www.ifip.org.

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Extra info for Computer And Computing Technologies In Agriculture, Volume II: First IFIP TC 12 International Conference on Computer and Computing Technologies in Agriculture (CCTA 2007), Wuyishan, China, August 18-20, 2007

Sample text

A feedforward-plus-PID steering control algorithm was used to compensate the variation in the vehicle dynamics for ensuring a satisfactory steering performance. A golf-car installed with an angle sensor, an accelerometer and a steering controller was taken as the research platform. The configuration of the automatic navigation system was shown in Fig. 1. Automatic Navigation System with Multiple Sensors 771 Fig. 1. The configuration of the automatic navigation system 2. 1 Obtaining navigation parameters based on machine vision Machine vision can be used to navigate agricultural vehicles automatically when the row structure is distinguishable in the farmland.

The second one is the vector data geographically matched with the DEM data, including the administrative divisions, road traffic, farmland plots, fish ponds block, economic crops block, orchards block, dams, sewers, culverts, and other location-based information. The last type of data is agriculture, forestry, animal husbandry, fishery, and other socio-economic data, matched with those vector data, as well as the submerged statistical losses data in the past years. The DEM data is used to simulate the whole inundating process, the vector format data is used to calculate the concrete inundated block, and socio-economic data is used to calculate the losses of submerged.

4 shows the structure of the finger. 1 Far finger knuckle; 2 Bolt; 3 Constraining wire; 4, 7 FPA; 5 Near finger knuckle; 6 Palm finger knuckle; 8 Carpometacarpal joint; 9 Connector; 10 Air tube Fig. 4. Structure of flexible pneumatic 5-DOF finger 782 Libin Zhang et al. Two flexible pneumatic bending joints and one flexible pneumatic spherical joint are connected in series by rigid knuckles. The two constraining wires embedded in the flexible pneumatic bending joints should be maintained in a straight line, and the spherical joint is the first joint near the digital root.

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