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This paper introduces a dynamic feedback crop simulation system used to simulate and forecast the growth of crops. It was known that a precise and effective crop simulation was beneficial for the investigating of crops' growth and production forecast. The real-time monitoring data applied for this simulation system was derived from Agriculture monitoring and early-warning research space (AMERS) which was established by Agriculture Information Institute of Chinese Academy of Agricultural Sciences. A more accurate and valid simulation system is proposed in this paper, by improving the system of agriculture model with the collected data. The corrected model is able to predict the crop's growth and yields more accurately. During the lifecycle of the whole crops the model is corrected and predicted continuously until the simulated data is highly consistent with the real data. The collected data can be used as the input of the simulation, and the corrected model for real-time feedback. A growth index which was calculated by the monitoring data used to measure the growth of crops was proposed. This growth index will responded to the crops simulation model for system amendment. The result of late growth and yield forecasting will be updated by the revised model. Two applications of this system were briefly introduced. Keywords-crops simulation; dynamic feedback; agriculture monitoring and early-warning spaceI.

This paper describes a simulation and testing system for vision-based tracking robot (VTR). This system is a closed loop testing system which can be used both for the simulation demo and semi-physical testing. It includes visual image simulator, tracking algorithm simulator and robotic arm simulator. This system is implemented with FPGA which will assure the simulation sequence. The system provides with virtual image sequence through the application programming interface and all modules communicated with each other by data interface. To meet the higher requirements of simulation system for real-time visual feedback, a new method of real-time image simulation based on panorama is introduced in this paper. In the end of this paper, test indexes are introduced which illustrate the performance of the VTR.

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