Abstract: Through exploration of the characteristics of a crop canopy structure and the variation laws in the crop development processes, a three-dimensional crop canopy structure model and a dynamic maize growth simulation are established by fusing the three-dimensional crop canopy structure model. The model describes the crop growth and development stages by adopting growing degree-days, carries out dynamic simulation on a two-dimensional maize canopy structure by adopting a Logistic equation, and characterizes veins, leaf margin and the like by adopting a spatial topological structure. On this basis, a dynamic simulation method for a three-dimensional spatial crop canopy structure is finally established, the coupling simulation of multiple hydrothermal carbonization processes in a complex farmland ecosystem is realized, and thus the simulation capability and universality of the crop model are effectively improved.

Abstract: A farmland reference crop evapotranspiration prediction method based on uncertainty of meteorological factors, includes: S1. acquiring a set number of groups of weather forecast data of a prediction region within a preset time period; S2. inputting each group of weather forecast data into a Bayesian probability forecast system to obtain corrected weather forecast data; and S3. inputting each group of the corrected weather forecast data into a trained RBF neural network, and predicting to obtain a farmland reference crop evapotranspiration. In the present invention, the Bayesian probability forecast system is configured to correct the weather forecast data and eliminate uncertainty of weather forecast data to obtain the accurate reference crop evapotranspiration forecasted by the RBF neural network using these data.

Abstract: An Internet-of-Things-based crop growth monitoring device includes a plurality of monitoring mechanisms. Each monitoring mechanism includes a base and a support rod fixed on the base. The support rod is provided with an electric element installation casing formed by snap-fitting an upper conical cover and a lower conical cover. A component for driving a swing cantilever to rotate is provided on the support rod at a position near a lowermost surface of the upper conical cover. A plurality of distance measuring laser sensors are provided on the swing cantilever. A component for driving an ultra-high-definition camera to rotate is provided on the support rod at the section of the upper conical cover. The images captured by the ultra-high-definition camera is used to obtain the leaf growth situation of the crops, and the data collected by the distance measuring laser sensors is used to determine the plant height of the crops.

Abstract: According to an irrigation method based on water usage characteristics and real-time weather condition during different crop growth stages, whether the crops are in a shortage of water in the growth is determined based on an actual soil water content, a water usage amount of the crops during the given growth stage, and a rainfall amount during the next day. If the shortage of water occurs, the actual water usage amount of the crops is calculated, and a water pump can be self-adaptively turned on to water the crops and an administrator is informed when the reservoir has an insufficient water storage, according to the relation between the water storage amount of the reservoir and the actual water usage amount.

Abstract: A method for establishing a monitoring model of a water content of a winter wheat canopy based on spectral parameters, includes the following steps: measuring a spectral reflectance and a water content of the winter wheat canopy; constructing the spectral parameters through the spectral reflectance; wherein, the spectral parameters comprise spectral transformation forms and “trilateral” parameters; performing correlation analysis on the water content of the winter wheat canopy and the spectral transformation forms and the trilateral parameters, selecting comprehensive spectral parameters with a significant correlation for each growth stage, performing principal component analysis on the comprehensive spectral parameters, separately constructing a water content monitoring model for each growth stage, and combining the water content monitoring model for each growth stage into the monitoring model of the water content of the winter wheat canopy for the whole growth stage.

Abstract: A method for establishing a monitoring model of a water content of a winter wheat canopy based on spectral parameters, includes the following steps: measuring a spectral reflectance and a water content of the winter wheat canopy; constructing the spectral parameters through the spectral reflectance; wherein, the spectral parameters comprise spectral transformation forms and “trilateral” parameters; performing correlation analysis on the water content of the winter wheat canopy and the spectral transformation forms and the trilateral parameters, selecting comprehensive spectral parameters with a significant correlation for each growth stage, performing principal component analysis on the comprehensive spectral parameters, separately constructing a water content monitoring model for each growth stage, and combining the water content monitoring model for each growth stage into the monitoring model of the water content of the winter wheat canopy for the whole growth stage.

Abstract: According to an irrigation method based on water usage characteristics and real-time weather condition during different crop growth stages, whether the crops are in a shortage of water in the growth is determined based on an actual soil water content, a water usage amount of the crops during the given growth stage, and a rainfall amount during the next day. If the shortage of water occurs, the actual water usage amount of the crops is calculated, and a water pump can be self-adaptively turned on to water the crops and an administrator is informed when the reservoir has an insufficient water storage, according to the relation between the water storage amount of the reservoir and the actual water usage amount.

Abstract: An Internet-of-Things-based crop growth monitoring device includes a plurality of monitoring mechanisms. Each monitoring mechanism includes a base and a support rod fixed on the base. The support rod is provided with an electric element installation casing formed by snap-fitting an upper conical cover and a lower conical cover. A component for driving a swing cantilever to rotate is provided on the support rod at a position near a lowermost surface of the upper conical cover. A plurality of distance measuring laser sensors are provided on the swing cantilever. A component for driving an ultra-high-definition camera to rotate is provided on the support rod at the section of the upper conical cover. The images captured by the ultra-high-definition camera is used to obtain the leaf growth situation of the crops, and the data collected by the distance measuring laser sensors is used to determine the plant height of the crops.