45 results about "Crop coefficient" patented technology

The invention discloses a method for calculating the consumption of water resources in grassland irrigated land, which uses the stable and gradual change characteristics of the reference crop coefficient in the grassland area on the time scale, and expands the ET long sequence of the equivalent decomposition area, and uses the improved reference crop coefficient method to couple The regional reference crop evapotranspiration realizes the expansion of the long sequence of evapotranspiration in the grassland region under the absence of remote sensing images, especially under the interference of non-sunny days, and solves the difficult problem of ET calculation in the remote sensing region, and improves the accuracy of the long sequence calculation of evapotranspiration in the grassland region. Aiming at the calculation problem of water resource consumption in grassland irrigated land, the present invention quantifies and determines the GW value of water resource consumption in crop growing season in irrigated grassland area through the calculation model of water resource consumption in grassland area, and defines the real-time monitoring and management of groundwater resources in grassland area It provides a typical case analysis reference for the development and utilization management of groundwater resources in grassland areas and grassland ecosystem research.

The application discloses a method and a device for determining a crop coefficient. The method of this application includes obtaining the soil volumetric water content of each layer by calibrating the soil moisture sensor; generating the soil moisture content cumulative curve corresponding to different layers of soil according to the change of the soil volumetric water content of each layer with time; analyzing the soil moisture content cumulative curve, Determine the field water capacity points corresponding to different soil layers; use the field water capacity points as reference points to select the interval for calculating the crop coefficient from the soil moisture content accumulation curve; calculate according to the cumulative change data of the soil volume water content corresponding to the interval crop factor. This application solves the problems of complex determination methods of crop coefficients and low referentiality.

The invention discloses a dynamic percentage feature clipping AdaBoost face detection algorithm, specifically: at the beginning of each iteration, first determine the percentage f of the number of features to be clipped, and then select features with better classification performance to participate in the next step rounds of training; when the error rate of the best weak classifier in this iteration obtained from training is greater than the random extraction value, the number of features participating in training is expanded by reducing the clipping coefficient of this iteration; if all features are used for training, If the error rate still exceeds 0.5, stop the iteration. The present invention is applicable to when there are too many features participating in the training, and the purpose of saving training time is achieved by selecting features with a lower error rate in the previous round to participate in the next round of training.

The invention discloses a liquid fertilizer field fertilization method based on big data analysis, which specifically includes three steps: establishing a database based on big data analysis, using big data analysis results, and updating the database; the invention discloses a liquid fertilizer field based on big data analysis The method of fertilization in between, through big data analysis, the same soil quality coefficient, the same crop coefficient, and the idealized parameter group under different liquid levels can be obtained, so that farmers can directly select the operating parameters of the fertilizer machine according to the soil quality coefficient and crop coefficient, during the fertilization process The medium fertilization machine will directly and automatically adjust other parameter values ​​according to the difference in liquid level, which is more convenient for farmers to operate, reduces the difficulty of operation, and thus improves the efficiency of fertilization.

The invention discloses a drought early-warning method. The drought early-warning method includes acquiring plant distribution information of crops in an early-warning area; acquiring information of weather forecasting and the like in the early-warning area; calculating actual evapotranspiration of the crops; calculating to acquire relative water content in a planned moist layer in soil according to information of the actual evapotranspiration of the crops and the like; and comparing the relative water content in the planned moist layer in soil and lower limit of a drought threshold value, and judging drought degree of the crops. Therefore, information from multiple types of sources, such as growth condition of the crops, water in soil, weather forecasting information, geographic information in the early-warning area, is considered comprehensively, the drought degree of the crops is judged, and accordingly early warning of drought of the crops is more accurate and reasonable, and unreasonable utilization and waste of water resources are unlikely to cause during irrigation. Finally, related information of the drought degree of the crops and the like is used to generate and display a space distribution map by a geographic information system, and accordingly optimized allocation of the water resources in agriculture and early warning of drought in an area range are achieved.

The embodiment of the invention provides a crop real-time water consumption monitoring method and device based on machine vision. The coverage is obtained in a lossless image mode, the relation between the real-time crop coefficient and the coverage is obtained by means of professional lysimeter equipment, the method can be expanded to other planting fields to measure the real-time water storage capacity and crop coefficient of crops, and supports are provided for scientific research and production. Image recognition and artificial intelligence technologies such as an information image preprocessing technology, a segmentation technology, an image feature extraction and selection algorithm and the like are applied to monitor and obtain crop growth and physiological state information such ascrop leaf area, coverage degree and canopy temperature which are closely related to yield and quality, so that the water utilization efficiency is improved.