182 results about "Crop yield" patented technology

Suppressing methane gas emissions from paddy rice cultivation is extremely important as a measure against global warming. The challenge here is to achieve both improved rice productivity and environmental protection. Specifically, this involves developing a device that can generate large quantities of high-concentration ultrafine bubble (UFB) water in a short time, by adding methane gas emission suppression to the UFB water. [Solution] The UFB generating apparatus of the present invention incorporates a variable-speed rotary stirring device into a UFB generation tank, and this tank is filled with sandy material. By supplying gas and water to this tank at high pressure, the sandy material layer of gas, water, and sandy material is liquefied. By rapidly rotating this liquefied layer with the rotary stirring device, the gas is confined in the pore water of the liquefied layer and then finely fragmented. Furthermore, by using sandy steel slag as the sandy material, in addition to the UFB effect, methane generation due to silica, lime, and iron oxide is suppressed and crop yields are improved.

This invention belongs to the field of microbial technology, specifically relating to a compound microbial fertilizer that synergistically regulates rhizosphere flora and nitrogen metabolism genes and its application. The microbial agent includes: Bacillus belye (… Bacillus velezensis ), Bacillus subtilis subsp. subtilis ( Bacillus subtilis subsp. subtilis ) and Linyi Streptomyces ( Streptomyces linyiensis Two or three of the following. The microbial agent provided by this invention has significant growth-promoting and nitrogen-fixing effects when applied to crops. It can maintain or even improve soil fertility and crop yield under the condition of reducing nitrogen fertilizer application by 30%, providing a green and efficient new solution for the implementation of "nitrogen reduction and efficiency enhancement".

The invention relates to a method for increasing the quantity and / or density of crops through optimized field soil treatment.

The application discloses a device for preventing and controlling crop diseases and insect pests by microwaves, which comprises a rack, a microwave source, a microwave processing cavity, a waveguide, a lifting adjusting mechanism, a steering adjusting structure and travelling wheels. The microwave processing cavity is composed of one microwave reaction cavity and four microwave suppression cavities; two microwave suppression cavities are arranged at the front and rear ends of the microwave reaction cavity respectively, and the top of the microwave reaction cavity is provided with a microwave feed port. A suppressor is arranged in the microwave suppression cavity; the suppressor comprises a chain arranged above the microwave suppression cavity, a chain gear for driving the chain to move in a circumferential direction, a suppressor control motor and a suppression plate suspended on the chain. The device utilizes the thermal effect and biological effect of microwaves to kill diseases, insect pests and weeds of crops, and can directly kill the diseases, insect pests and weeds inside the crops, thereby effectively reducing the diseases and insect pests of crops and improving the yield of crops, and meanwhile, the device is non-toxic, non-residual and does not produce drug resistance; and the four groups of suppressors arranged in front of and behind the microwave reaction cavity can prevent microwave leakage.

This invention discloses a method for producing amino acid-containing water-soluble fertilizer using sugarcane molasses and organic oilseed cake. The method involves first establishing an equation relating the composting time of organic oilseed cake to influencing factors, then performing material mixing, enzymatic hydrolysis, centrifugation, filtration, enzyme inactivation, preservation, and adjustment of the effective component content to obtain the amino acid-containing water-soluble fertilizer of this invention. This invention can rapidly compost organic oilseed cake within 12 hours, resulting in a stable fertilizer product with a storage period of ≥3 months. It will not undergo further enzymatic hydrolysis to produce odors or secondary metabolites, and its solubility is ≥95%, which is beneficial for the promotion of fertigation technology. The fertilizer has a high amino acid content, and the nutrient content can be adjusted as needed, significantly improving crop yield and quality after application.

The application discloses a crop yield statistical data downscaling method based on integrated agricultural condition index standardization deviation from mean, which comprises the following steps: A1: data preparation; A2: agricultural condition parameter inversion; A3: integrated agricultural condition index construction; integrated agricultural condition index of key phenophase is constructed, and the correlation between crop agricultural condition parameters and statistical yield in the key phenophase is analyzed, the integrated agricultural condition index of the key phenophase based on the normalized regression coefficient weight determination method is constructed, and the integrated agricultural condition index of the key phenophase based on the yield correlation is verified in precision; A4: yield statistical data downscaling and precision analysis. In addition to comprehensively considering the correlation between crop agricultural condition parameters in the key growth period and the yield change of crops, the application also considers the influence of spatial heterogeneity between integrated agricultural condition parameters pixels on the yield change of the region at the regional level. The crop growth state spatial heterogeneity expression method of the integrated agricultural condition parameter space-time dynamic weight proposed by the application has important significance for improving the simulation capability of the spatial change of the yield of the crop pixel scale.

1. Name of the product in this design: Statistical Instrument (Agricultural Economics). 2. Purpose of this design: For measuring agricultural crop yields. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D rendering 1.

The application discloses a crop yield prediction method and system based on an optimized HATCN-MLP, relates to the technical field of crop yield prediction, and comprises the following steps: acquiring historical remote sensing time series data, historical yield data and growth cycle information of crops in a target area during a growth period, and constructing a data set; building an MLP baseline model, configuring multiple structure combinations of a hidden layer of the model, training and testing the model by using the data set, and screening an optimal configuration of the structure combinations according to a test result; introducing a hybrid time sequence attention mechanism into a time sequence convolution network, constructing an HATCN model, and then combining the HATCN model with the optimized MLP baseline model to form a composite prediction model; configuring multiple structure combinations of a hidden layer of the HATCN model, training and testing the HATCN model, and screening an optimal configuration of the structure combinations; acquiring remote sensing time series data of crops in the target area during a current growth period, inputting the remote sensing time series data into the optimized HATCN-MLP composite prediction model, and outputting an accurate crop yield prediction result.

The present disclosure provides a system and method for automated monitoring, quantification, and control of plant health from micro and macro scales using optical sensing and imaging modalities, environmental sensing, data analysis, image processing, and machine learning. Intelligent feedback control of plant health employed in the system reacts in real-time to changes in plant health to enable precision agriculture applications like intelligent irrigation or determination of optimal fertigation parameters. In turn, the system results in improved agricultural outcomes such as increased fruit production or unique flavor profiles. The system further provides a means for automated and non-invasive testing of novel treatments for disease or adverse conditions, or to improve crop yields.

This application discloses a method, apparatus, equipment, medium, and product for predicting regional crop water productivity, relating to the field of smart agriculture. The method includes inputting historical and future climate data into an ecosystem process model to obtain simulated net primary productivity and simulated evapotranspiration for historical and future times; using a bias mapping method based on the simulated evapotranspiration, actual evapotranspiration, and simulated evapotranspiration for future times to obtain predicted evapotranspiration for future times; training multiple machine learning models based on the simulated net primary productivity, agricultural management data, and grain yield per unit area for historical times to obtain a crop yield prediction model; obtaining the predicted grain yield per unit area for future times based on the crop yield prediction model; and obtaining the regional crop water productivity based on the predicted evapotranspiration and the predicted grain yield per unit area for future times. This application can achieve high-precision, high spatiotemporal resolution, and high-reliability prediction of regional crop water productivity.

The application relates to a pesticide composition containing silicon-rich rings and thiamethoxam and application thereof in prevention and treatment of downy mildew, and belongs to the technical field of agricultural pesticides. In the application, heat-sensitive silicon-rich ring raw medicine is coated with a capsule wall material to form microcapsules, so that the chemical stability of the active ingredient in the storage process is effectively improved. The results of potting test show that the branch number, effective branch number and fruiting number of the pepper plants treated with the pesticide composition are significantly higher than those of the single-dose treatment group, which indicates that the pesticide composition can promote the vegetative growth and reproductive growth of the pepper, help to build a high-yield plant type, and improve the yield potential of crops. Field test data show that the prevention and treatment effect of the pesticide composition on the pepper downy mildew reaches 90.2%, which is significantly better than that of the single-dose treatment group. This indicates that the combination of the silicon-rich rings and thiamethoxam plays a synergistic effect in the prevention and treatment of the pepper downy mildew.

The application discloses a plant-source bio-growth-promoting synergistic fertilizer and a preparation method thereof. The fertilizer is prepared by compounding plant-source composite growth-promoting substances, a composite microbial flora and a carrier material in a specific mass ratio. The plant-source composite growth-promoting substances are prepared by solid-state fermentation and extraction of gynostemma pentaphyllum, astragalus and acanthopanax. The composite microbial flora contains brazilian nitrogen-fixing spirillum, fluorescent pseudomonas and brevibacillus brevis, and is embedded and fixed by using kappa-carrageenan microcapsules containing biochar nanoparticles. The carrier is lignosulfonate-modified nano-attapulgite. The application also provides a corresponding preparation method. The granular fertilizer is finally prepared through steps of activating the strains by a composite activation solution, embedding by microencapsulation and carrier loading granulation. The fertilizer combines the synergistic effect of plant-source active substances and functional microorganisms, significantly improves the activity of the flora and the field colonization capacity, and can effectively promote plant growth, improve crop yield and quality.

The application discloses a production process of high-potassium base compound fertilizer, which comprises the following steps: S1, raw material pretreatment: crushing potassium feldspar to 200 meshes, mixing with 5% sulfuric acid at a mass ratio of 1:3, calcining at 120-130 DEG C for 2-3 hours, washing until the pH is 6.5-7.0, and drying to obtain potassium feldspar activated powder; S2, putting potassium citrate solution, calcium citrate solution, potassium feldspar activated powder, trace element organic acid salt solution, urea, modified zeolite and binder into a high-speed mixer in proportion, uniformly stirring, adopting high-tower granulation to obtain base material particles; S3, drying the base material particles, removing the particles with a diameter less than 2.5 mm, spraying a plurality of composite films on the surface of the base material particles to coat, and drying to obtain coated base material particles; and S4, spraying bacillus subtilis agent on the surface of the coated base material particles, and low-temperature drying to obtain the high-potassium base compound fertilizer. The high-potassium base compound fertilizer produced by the application has high nutrient components, long fertilizer efficiency, small environmental pollution, and can improve the soil environment and improve the crop yield.

This invention provides a rice gene Bph54 for resistance to brown planthopper and its application. The rice provided by this invention... Bph54 Genes are of great significance for breeding new rice varieties resistant to brown planthoppers. This invention successfully cloned the rice Bph54 gene using map-based cloning, and performed functional annotation and identification. This gene exhibits complete dominance, and both homozygous and heterozygous genotypes confer equal resistance to brown planthoppers in rice. This characteristic is beneficial for the application of this gene in breeding. Based on this, the Bph54 gene can be introduced into brown planthopper-susceptible plant varieties through traditional breeding techniques such as hybridization and backcrossing, or through genetic engineering, to cultivate new varieties of plants resistant to brown planthoppers with stable genetic traits. This invention provides important germplasm resources for effectively reducing insect damage and achieving increased and stable crop yields.

This invention discloses a grid-scale crop yield prediction method based on air quality mechanisms, belonging to the field of agricultural remote sensing technology. The method includes the following steps: S1, dividing the study area into grids and collecting basic data, then preprocessing the basic data sequentially; S2, constructing a physiological regulation function based on the preprocessed basic data and determining stomatal conductance; S3, determining air quality mechanism indicators and pollutant mechanism indicators based on stomatal conductance; S4, determining the predicted crop yield based on the air quality mechanism indicators and pollutant mechanism indicators, and outputting the baseline yield, total loss, relative loss rate, pollutant contribution rate, and spatially aggregated total yield. The final prediction target variable of this invention is yield, suitable for large-scale yield estimation at the grid scale; it can be used for grid-scale crop yield estimation, air pollution-induced damage assessment, and risk analysis.

Disclosed herein are apyrase inhibitors of Formula (I): (I). Also disclosed herein are methods for using the disclosed inhibitors, including in methods for protecting crops from pests. In one aspect the apyrase inhibitors are useful for enhancing the activity of pesticides for the protection of crops from pathogens and to support crop yield.

A foliar fertilizer rich in selenium and amino acids, a preparation method therefor, and the use thereof. The main components are: composite probiotics, cooked fish paste, urea, potassium sulfate, molasses, and sodium selenite. The parts by weight of the raw materials are, respectively: 1000 parts of composite probiotics, 200 parts of cooked fish paste, 25 parts of urea, 50 parts of potassium sulfate, 100 parts of molasses, and 1.0 part of sodium selenite. The foliar fertilizer has a certain effect on promoting the absorption of selenium by crops, increasing the selenium content in crops, promoting the growth of crops, and enhancing the yield of crops.

Disclosed herein are systems and methods for creating virtual yield maps. A computing device collects one or more images from one or more satellites, the one or more images capturing at least a crop-containing plot, topography information for the crop-containing plot from one or more topographical sensors, and weather-related data for an area including the crop-containing plot. The computing device creates, based at least in part on information associated with the one or more images, a spectral index map. The computing device generates pixelized information for the crop-containing plot comprising a plurality of pixels representative of an equal portion of the crop-containing plot and includes a normalized value representative of crop yield for each respective pixel of the plurality of pixels based at least in part on the spectral index map, the topography information, and the weather-related data. The computing device creates a virtual yield map from the pixelized information.

The application discloses a method for green prevention and control of Tetranychus urticae by Neoseiulus barkeri mediated greenhouse 'natural enemy + crop + habitat regulation' integrated method, and belongs to the technical field of green prevention and control of greenhouse pests. The method takes N. barkeri as a core control factor, and organically integrates precise release of natural enemies, healthy cultivation of crops and dynamic regulation of greenhouse habitats. Specifically, the method comprises the following steps: installing a disinfection and pest prevention net before planting; cultivating crops in a healthy manner, and planting driving-avoiding and covering plants in intercropping; releasing 100-300 N. barkeri per square meter, and then releasing the N. barkeri once every 1-2 weeks; planting nectar plants, regulating temperature and humidity to 22-28 DEG C and 60%-75%, and hanging yellow and blue plates; regularly monitoring, and releasing natural enemies or selecting safe biological pesticides for auxiliary prevention and control when the control threshold is exceeded; and cleaning and disinfecting after pulling seedlings and rotating crops. The method realizes persistent colonization and population self-maintenance of natural enemies, significantly reduces the use of chemical pesticides, and improves crop yield and quality.

The utility model discloses a double -deck inflatable light -converting film heat -preserving greenhouse structure relates to heat -preserving greenhouse technical field, it includes base, and the base below fixed setting has support leg, the base top fixed setting has fixed frame, fixed setting has the arc frame on the fixed frame, and is provided with the composite film on the arc frame, the composite film is by inside and outside and is set gradually as the inner layer light -converting film, the middle air chamber layer and outer layer dustproof ageing -resistant film, be provided with the inflation port on the composite film, and the inflation port is linked together with the middle air chamber layer, the top of base is provided with the inflation mechanism, and the inflation mechanism is filled with air to the middle air chamber layer through the inflation port. This double -deck inflatable light -converting film heat -preserving greenhouse structure has realized excellent heat -insulating performance through the middle air chamber layer, and utilizes the inner layer light -converting film to optimize the light quality in the shed, to reach the purpose of energy -conserving and consumption -reducing and promoting crop yield increase and quality improvement in cooperation.

The application discloses a water-wetland-food collaborative optimization method, system, device and medium, relates to the technical field of multi-target collaborative optimization, and comprises the following steps: a multi-target optimization model is constructed with crop sowing area as a decision variable, wherein the optimization target of the objective function of the multi-target optimization model includes maximum food yield, minimum irrigation water demand and maximum wetland area, and the constraint conditions include crop yield constraint, crop irrigation water demand constraint and wetland area constraint; the multi-target optimization model is solved by using an NSGA-III algorithm to obtain a Pareto frontier solution set; a machine learning model is used to predict the dynamic change of the wetland area, and the prediction result is coupled with the NSGA-III algorithm to calculate the wetland area objective function. The application can ensure that the wetland ecosystem remains stable or develops well in the foreseeable future while meeting the yield and water-saving targets, and ensures the long-term ecological robustness and sustainability of the scheme.

This invention relates to the field of soil conditioner technology, specifically to a soil conditioner for continuously cropped sugar beets, its preparation method, and its application. The preparation method includes: S1. Inoculating compound microbial strains separately into liquid culture medium and culturing them with shaking at 28-30℃ and 180-200 rpm for 45-48 hours, then mixing to obtain a live bacterial solution; S2. Adding modified plant-derived extracts and modified carriers to a modifying and enhancing agent, stirring for 15-20 minutes to obtain a modified mixture; S3. Adding the live bacterial solution to the modified mixture while stirring at 200-300 rpm, then granulating using a disc granulator, and air-drying at 38-40℃ for 6-8 hours to obtain the soil conditioner for continuously cropped sugar beets. The modified plant-derived extracts, modified carriers, and modified enhancing agents of this invention work synergistically to form a three-in-one regulatory system of "antibacterial inhibition—growth promotion—improvement," significantly enhancing the health of continuously cropped sugar beet soil and crop yield.

The embodiment of the application provides a kind of energy self-sufficient full-automatic greenhouse and intelligent control method, greenhouse includes greenhouse body, photovoltaic power generation and energy storage system and greenhouse intelligent control system;Photovoltaic power generation and energy storage system includes: photovoltaic electric board, drive support and energy storage station, drive support is connected with photovoltaic electric board;Greenhouse intelligent control system includes acquisition module, control module and execution module;Acquisition module is used to collect operating parameters;Control module generates control instruction based on operating parameters;Execution module controls drive support to adjust the inclination of photovoltaic electric board based on control instruction, and adjusts the internal environment of greenhouse, to meet the greenhouse operation demand.The scheme effectively resolves the contradiction of "cooling and lighting" of tropical greenhouse, dynamically optimizes light and heat environment while achieving efficient power generation, improves environmental control quality and crop yield, and solves the structural defects of poor heat insulation performance and high energy consumption of traditional glass greenhouse.

The soybean aboveground biomass dynamic across growth period estimation method, system and program product relate to the crop yield technical field, fill the existing technology in the problem of combining research soybean AGB based on UAV remote sensing and machine learning relative blank. Through the unmanned aerial vehicle to soybean multiple growth stage data collection, and based on soybean growth stage data, respectively generate multispectral orthophoto and digital surface model; based on multispectral orthophoto and digital surface model, respectively extract the crown structure features, image texture features and multiple vegetation indexes related to aboveground biomass of crops; after improving the stacking model, using multiple data of soybean, crown structure features, image texture features and multiple vegetation indexes related to aboveground biomass of crops to train the improved stacking model, obtain the trained stacking model; based on the trained stacking model, complete the soybean aboveground biomass growth period estimation.

This invention discloses a method, device, equipment, and medium for monitoring and early warning of agricultural food-water-energy-carbon emissions, belonging to the field of smart agriculture technology. The method includes: acquiring production big data of a target area; performing spatial registration based on the production big data and corresponding units in a preset static basic spatial database to construct a performance-environmental condition paired dataset; inputting the performance-environmental condition paired dataset into a causal inference engine to identify direct environmental factors that have a direct causal relationship with crop yield, and eliminating interference factors that only have a correlation relationship, generating a set of sensitive factors for triggering early warning; based on the set of sensitive factors, using a threshold search algorithm to automatically identify the optimal early warning threshold for each key factor affecting crop yield; and monitoring energy crops in the target area based on the set of sensitive factors and the corresponding optimal early warning threshold to obtain monitoring results. This application realizes the monitoring and early warning of land, food, energy, and carbon emissions.

This invention discloses a modified biodegradable film material, its preparation method, and its applications. The modified nano-sized calcium carbonate is prepared by modifying nano-sized calcium carbonate, with the addition of a silane coupling agent to prevent agglomeration, resulting in a uniformly dispersed nano-calcium carbonate slurry that exhibits modified properties. The modified film has a shorter degradation time, a more stable molecular structure, and increased antibacterial properties. The film preform is stretched longitudinally and laterally using a stretching device to obtain the film. The thickness and length of the film can be arbitrarily set according to actual production needs. The mulch film is a film used to cover the ground, primarily transparent or black, with functions such as warming and moisture retention, improving soil structure, and controlling pests and diseases. It is widely used in more than 40 kinds of crops, including grains, cotton, oilseeds, and vegetables, and can generally increase crop yields by 30%-50%. It does not require recycling after application and can naturally degrade after 6-9 months.

This invention discloses a gene expression enhancer with a nucleotide sequence as shown in SEQ ID NO:1. As an InDel sequence located at the 3' end of the target gene, it can improve the expression level of the target gene in plants. It can be used to precisely regulate the expression level of the target gene and can be used to improve agronomic traits such as senescence cycle and stress resistance of plants, and to cultivate transgenic plant varieties with high crop yields.

The application provides a regional crop yield estimation method, system, device and storage medium, adopts a random forest model to simulate the yield of crops in a region, calibrates the model error based on a rotation correction algorithm, and predicts the yield of crops in the region through the random forest model after correction. The rotation correction algorithm can effectively calibrate the general error of the existing crop yield estimation model in the high / low yield area. Compared with the existing error regression correction algorithm and machine learning correction algorithm, the rotation correction algorithm further corrects the error regression model of linear fitting to improve the correction effect in the low / high value area. Compared with superimposing a machine learning error correction model, the rotation correction algorithm has stronger generalization ability, avoids overfitting phenomenon caused by using a too complex machine learning model during training, and has better correction effect and wider applicability.