11 results about "Crop evapotranspiration" patented technology

The invention discloses a method for simulating regional runoff based on a coupling model VMD-CNN-LSTM-Attention of irrigation water consumption of main crops. The method comprises the following steps: 1, calculating daily reference crop evapotranspiration ET0 according to meteorological station data of a target region; 2, calculating the irrigation water consumption of different crops in different periods by utilizing the crop growth coefficients of the different crops; and 3, taking the main crop irrigation water consumption, rainfall, temperature, evapotranspiration, soil water content and other monthly elements in the target area calculated in the step 2 as driving factors, and inputting the driving factors into the coupling model for monthly runoff prediction. The method has the following beneficial effects that the irrigation water consumption of main crops with high correlation with the runoff in the research area is calculated, and driving factors with higher correlation with the runoff can be found out according to local conditions as input, so that the prediction precision is improved.

The invention discloses an irrigation water demand dynamic prediction method based on a water balance equation and a crop water production function. The method comprises the following steps: step 1, multi-source data arrangement; 2, the net irrigation water amount is calculated based on a water amount balance equation; 3, determining an evapotranspiration demand based on a crop moisture production function; step 4, determining precipitation threshold values of different drought degrees; and step 5, predicting regional irrigation water demand under different drought situations. According to the method, spatial and temporal dynamic changes of regional scale farmland irrigation water are estimated, crop evapotranspiration requirements under different yield levels are determined in combination with a crop moisture production function, and then spatial and temporal changes of irrigation water requirements under different drought degrees are predicted according to a water balance principle; compared with a traditional irrigation system, the method considers the potential influence of insufficient water on the crop yield, distinguishes the space-time difference of the irrigation water demand, and provides an effective technical support for the dynamic prediction of the agricultural irrigation water and the meeting of the agricultural drought defense requirements.

This invention discloses an irrigation index prediction method based on meteorological data and field capacity, belonging to the field of smart agriculture technology. The method includes collecting real-time meteorological data, real-time soil volumetric water content data, soil matrix potential data, and future precipitation forecast data, and performing quality control and time alignment processing to obtain a multi-source dataset. Based on the real-time meteorological data, a reference crop evapotranspiration is calculated, and combined with the crop coefficient, the actual water requirement of the crop is obtained. Based on the real-time soil volumetric water content data and the static parameter value of field capacity, a water stress coefficient is calculated, and combined with future precipitation forecast data, a basic irrigation demand index is obtained. This invention uses the Shuttleworth-Wallace model to separate evapotranspiration and, based on multi-period rolling water balance calculation and risk decision rules, generates an irrigation index that integrates crop evapotranspiration, water deficit, and effective precipitation, achieving online calibration of soil parameters and optimization of irrigation decisions.

The application discloses a crop irrigation amount prediction method in arid and saline-alkali regions and related equipment. The method comprises the following steps: calculating the potential evapotranspiration of the target crop based on the predicted key meteorological parameters of the target region through a dual-source evapotranspiration mechanism model, and dynamically updating the leaf area index and plant height according to the accumulated temperature process; constructing different stress inhibition functions for the concerned salt ions and the pH value in the soil solution of the saline-alkali soil, respectively, applying a composite inhibition at the stomatal conductance and / or apparent evapotranspiration resistance site to correct the potential evapotranspiration, and obtaining the ideal crop evapotranspiration corrected by the salt and pH value; and predicting the daily irrigation amount and water distribution schedule suggestion within a future preset period based on the corrected ideal crop evapotranspiration. The method can solve the problem that the current crop irrigation in arid inland saline-alkali areas relies on experience and lacks quantitative analysis of the influence caused by different salt types and contents.

This invention discloses a method for dynamic prediction of irrigation water demand based on the water balance equation and crop water production function, comprising the following steps: Step 1, multi-source data processing; Step 2, calculation of net irrigation water volume based on the water balance equation; Step 3, determination of evapotranspiration demand based on the crop water production function; Step 4, determination of precipitation thresholds for different drought levels; Step 5, prediction of regional irrigation water demand under different drought scenarios. The method of this invention estimates the spatiotemporal dynamic changes of farmland irrigation water volume at a regional scale, combines this with the crop water production function to determine crop evapotranspiration demand at different yield levels, and then predicts the spatiotemporal changes of irrigation water demand under different drought levels based on the water balance principle. Compared with traditional irrigation systems, this method considers the potential impact of insufficient water on crop yield and distinguishes the spatiotemporal differences in irrigation water demand, providing effective technical support for dynamic prediction of agricultural irrigation water use and meeting the requirements of agricultural drought prevention.

The application discloses a water-saving and emission-reducing potential analysis method and system for an irrigation system. The method comprises the following steps: extracting a water deficit feature, and constructing a water deficit-yield response relationship feature vector; calculating a reference crop evapotranspiration, and determining an optimal irrigation water volume in combination with the feature vector; determining an initial water-saving potential according to an actual irrigation water volume and the optimal irrigation water volume; obtaining energy structure information and a real-time carbon emission factor time sequence library, and calculating actual carbon emissions and theoretical carbon emissions based on an actual irrigation time node and an optimal irrigation time window respectively; and combining a crop yield loss upper limit value, and determining a target water-saving potential and a target emission-reducing potential. The application realizes the collaborative optimization of water saving and emission reduction under the constraint of yield loss by constructing the water deficit-yield response relationship feature vector and introducing the time sequence fluctuation of the marginal carbon emission factor, and solves the problems of isolated water-saving and emission-reducing analysis, insufficient consideration of crop water response and inaccurate carbon emission evaluation in the prior art.

The invention discloses a closed-loop adaptive precise irrigation method based on a prediction model. The closed-loop adaptive precise irrigation method comprises the following steps: obtaining predicted meteorological data through LSTM and calculating to obtain reference crop transpiration; obtaining soil / plant prediction state data through XGBoost, and calculating to obtain actual crop transpiration; and finally calculating the water demand and the water shortage risk index of the crops. Compared with'hysteresis control 'in the prior art, the closed-loop self-adaptive precise irrigation method based on the prediction model disclosed by the invention has the advantages of time sequence prediction and nonlinear interactive modeling by utilizing the LSTM-XGBoost hybrid model, realizes rolling prediction 12 hours ahead of time, and has relatively high accuracy. Predictive driving is combined with the crop water demand and the water shortage risk index, it is guaranteed that the irrigation amount is kept within a reasonable range, the situation that due to lag control, interference irrigation of rainfall after irrigation and insufficient irrigation amount, water shortage of plants is caused is avoided, waste of irrigation water can be avoided, and it can be guaranteed that the crop growth water demand is met.

The present application relates to the field of agricultural meteorology and precision irrigation technology, and specifically discloses a reference crop evapotranspiration probability prediction method and system based on bias correction. The method comprises: obtaining meteorological ensemble prediction data of a target site in a future prediction period, and preprocessing the meteorological ensemble prediction data to match the spatial and temporal scales of the target site; using at least one strategy in a preset bias correction strategy library to correct the system error of the prediction data of each ensemble member after preprocessing; inputting the corrected meteorological data of each ensemble member into at least one reference crop evapotranspiration calculation model respectively to calculate a set of reference crop evapotranspiration prediction values corresponding to the future prediction period; and statistically analyzing the set of reference crop evapotranspiration prediction values to generate and output a probability prediction product quantifying the prediction uncertainty. With this method, the accuracy and reliability of the final probability prediction can be improved, thereby improving the effect of precision irrigation.

The invention belongs to the technical field of dry land agricultural water saving, and provides a dry land agricultural water saving equivalent calculation method, which comprises the following steps: S1, calculating the average moisture productivity WPave of a research area under the same type of soil and traditional management conditions; s2, the actual crop yield Ya and the actual crop evapotranspiration Eta after the target water saving technology is adopted in the research area are obtained; s3, according to the average moisture productivity WPave and the actual crop yield Ya, calculating the theoretical evapotranspiration EThheo of the crop yield Ya; s4, the difference between the theoretical evapotranspiration EThheo and the actual crop evapotranspiration Eta is obtained, and the agricultural water saving equivalent Wsav of the arid region after the water saving technology is adopted is calculated through unit conversion. According to the dry land agriculture water saving equivalent calculation method provided by the invention, the technical defect that the physical water saving amount cannot be calculated in dry farming and rain farming is broken through for the first time, so that the water saving technology can be converted into a visual water saving equivalent with a physical index. The blank that the field lacks direct water volume indexes for a long time is filled.

The application belongs to the field of dryland agricultural water-saving technology, and provides a dryland agricultural water-saving equivalent calculation method, which comprises the following steps WP ave S1, calculating the average water productivity of a research area under the condition of the same type of soil and traditional management Y a S2, obtaining the actual crop yield of the research area after the target water-saving technology is used ET a S3, calculating the theoretical evapotranspiration of the crop yield according to the average water productivity and the actual crop yield WP ave S4, calculating the dryland agricultural water-saving equivalent after the water-saving technology is used by subtracting the actual crop evapotranspiration from the theoretical evapotranspiration and performing unit conversion Y a Y a ET Theo ET Theo ET ET a W sav The dryland agricultural water-saving equivalent calculation method provided by the application breaks the technical deficiency that the dryland rain-fed agriculture cannot calculate the physical water-saving amount for the first time, so that the water-saving technology can be converted into an intuitive and physical water-saving equivalent. The application fills the long-term blank of lacking direct water amount index in the field.​​​​​

The invention discloses an irrigation scheduling method based on remote sensing fusion and automatic linkage of an unmanned aerial vehicle, and the method comprises the steps: building a spatial incidence relation among a canal system, a measurement and control integrated gate, a farming land parcel and crop planting distribution; specific association can be realized between crop species in different farming land parcels and the control relation of the measurement and control integrated gate to the specific farming land parcels. The unmanned aerial vehicle is used for collecting low-altitude remote sensing data, the evapotranspiration inversion model and the field moisture dynamic balance model are combined, the actual crop evapotranspiration and the net irrigation water demand are calculated for the land parcel level water demand control unit, and the limitation that in the prior art, water demand prediction depends on fixed parameters, and spatial heterogeneity is difficult to reflect is overcome. The water distribution scheduling model is constructed based on the land parcel level net irrigation water demand and the management attribute, and the optimal scheme is executed through the integrated gate, so that the problems that the water distribution scheme is disjointed with actual execution and automatic linkage is lacked in the prior art are solved, and the overall efficiency and the collaboration of irrigation scheduling are improved.