No abstract

In order to improve the performance of fertigation equipment, a fertigation control system based on ARM and μC/OS-II is developed. Serial screen is adopted to improve the performance of human-machine interaction, and to decrease the load of MCU. Several tasks related to the control system and fertigation process are designed based on the schedule of μC/OS-II. Furthermore, a self-adaptive control algorithm combined the single neuron with PID is proposed. The testing results of EC and PH control demonstrate that this method is effective to the fertigation control system.

No abstract

No abstract

In this paper a survey of plant environment control rn artificial greenhouse was put forward for discussing the future development. Firstly, plant environment control started with the closed loop control of ar temperature in greenhouse.With the emergence of higher property computer, the adaptive control algorithm and system identification were integrated into the control system. As adaptation control is more depending on observation of variables by sensors and yet many variables are unobservable or difficult to observe, especially for observation of crop growth status, so model-based control algorithm were developed. In order to evade modeling difficulty, one method is predigesting the models and the other method is utilizing fuzzy logic and neural network technology that realize the models by the black box and gray box theory. Studies on control method of plant environment in greenhouse by means of expert system (ES) and artificial intelligence (Al) have been initiated and developed. Nowadays, the research of greenhouse environment control focus on energy saving, optimal economic profit, environment protection and continually develop.