The Establishment And Study Of TheSuitability Model Of Plant Growth Environment Based On IoT

With the development of population urbanization and the shortage of available land area,balcony agriculture has become a new agricultural model.At present,the demand for efficient planting of greenhouse plants is increasing day by day.In order to manage the growth environment of plants efficiently and improve the planting efficiency of plants.In this paper,the growth environment of cherry tomato planted in mini-greenhouse on the balcony was monitored and studied for a long time by using the new generation Internet of Things technology.The system was composed of hardware system and software platform.The hardware system was mainly composed of sensor node,LoRa communication module and LoRa gateway.The sensor node acquired the data.The LoRa gateway collected and analyzed the data of each sensor node,and saved them to the cloud database.In addition,the flow diagram and result map of cherry tomato planting management in mini-greenhouse on the balcony were showed via software platform.Through long-term data monitoring,the changes of environmental factors of plants in sunny and rainy days in different regions were studied,and the diurnal variation and difference of environmental factors in different regions of mini-greenhouse were explored.These research results provided a reference for accurately regulating and controlling cherry tomato growth environment in balcony greenhouse in the later stage.The air temperature suitability model and soil moisture suitability model were optimized by cubic spline interpolation technique and polynomial fitting.The analytic hierarchy process(AHP)was used to determine the weight coefficients of each single factor in different growth periods and to establish a comprehensive suitability model.The environmental suitability of different regions and the height and yield of cherry tomatoes were analyzed.This model reduces the artificial judgment of planting process.What's more,the integration of plant and the model not only improves accuracy of the model,but also promotes scientific and technological content and information level of facility agriculture.