51 results about "Rice growth" patented technology

This invention discloses a cultivation and monitoring device for low-temperature cold-resistant growth of rice, relating to the field of rice cultivation technology. The invention includes a three-layer frame for mounting the equipment; a supplementary lighting system is installed on the upper layer of the frame; a rice cultivation trough is installed on the middle layer; and a water tank and a chiller are installed on the lower layer. The water tank and the chiller's inlet are connected via a first pipe. The rice cultivation trough is internally divided into a cold water inlet chamber, a cold water cultivation chamber, and a cold water return chamber. Water level and flow are controlled by inlet and outlet weirs. The device is also equipped with adjustable weirs to flexibly adjust the water level to meet the needs of different rice growth stages. Simultaneously, a video recording device and a temperature recording device are installed to record the entire rice growth process and monitor water temperature in real time, providing researchers with accurate experimental data. Furthermore, the device includes a room-temperature cultivation chamber as a control, which helps evaluate the low-temperature growth ability of genetically modified or hybridized rice seeds.

The application discloses a kind of based on soil compactness machine harvesting regenerated rice loss reduction stable yield method, belong to rice cultivation technical field, its method includes following steps, S1, the soil environment of different gradient soil compactness is constructed: before the first season rice harvest 15~17d, 12~14d, 9~11d, 6~8d, 3~5d respectively to target field block is drained field water treatment, while setting the control field block of first season rice growth period flooding irrigation, by different drainage timing control paddy field soil moisture content, the machine harvesting operating environment of different soil compactness is constructed;S2, determination soil compactness and soil moisture content;S3, mechanical harvesting operation;S4, yield and loss rate measurement;S5, quantitative relationship model construction;S6, soil compactness classification and water management strategy formulation.The application first takes soil compactness as core index, establishes its quantitative relationship model with soil moisture content, machine harvesting regenerated rice single yield of regeneration season, yield loss rate, realizes the quantitative, precision management of machine harvesting regenerated rice paddy field operating environment soil moisture.

The present invention relates to a Single Nucleotide Polymorphism (SNP) marker for determining the degree of protein content of rice seeds and a method for determining the degree of protein content of rice seeds using said marker. Specifically, the present invention relates to an SNP marker for determining protein content and a method for determining protein content using said marker, which constructs a machine learning-based rice protein content prediction model by utilizing SNP markers associated with high and low protein content, thereby enabling the prediction of rice seeds with high protein content in the early stages of growth.

This invention relates to a method for rice growth status perception and agricultural decision-making based on multimodal semantic guidance, belonging to the fields of smart agriculture, computer vision, and artificial intelligence. The method includes acquiring rice canopy images; constructing a dataset; utilizing a small number of samples labeled by agricultural experts and their corresponding descriptive semantic information; introducing a multimodal semantic-guided auxiliary labeling mechanism to generate growth status labels for the remaining samples, thereby reducing data labeling costs and improving labeling consistency; based on the labeled dataset, constructing a multi-task recognition model to collaboratively identify multi-dimensional growth states of rice, such as phenological stage, nutritional status, disease type, disease impact degree, and population growth, within a unified feature space. Based on the multi-task recognition results, rice growth status analysis information is generated, forming agricultural guidance strategies such as fertilization management and pest and disease control, which are then distributed to field execution equipment, realizing an intelligent management closed loop combining rice growth status perception and agricultural decision-making.

This invention relates to the field of agricultural environment and soil fertilizer technology, and in particular to a method for increasing paddy field yield and reducing N2O emissions by regulating the application rate of zero-valent iron. The method includes the following steps: at the early tillering stage of rice, zero-valent iron is mixed with tillering fertilizer and applied to the paddy field soil; the application rate of zero-valent iron is 20-50 mg / kg (dry soil basis). ‑1 The method involves applying booting fertilizer to the paddy soil during the early booting stage of rice, and irrigating throughout the entire rice growth cycle. This invention, by applying an appropriate amount of zero-valent iron in a single application on top of conventional fertilizer application, can synergistically achieve greenhouse gas emission reduction and increased grain yield, providing a feasible path for green production in paddy fields.

This invention discloses a method for improving the accuracy of rice irrigation forecasts in irrigation districts based on digital twins, belonging to the field of agricultural water conservancy engineering technology. Based on digital twin technology, this invention divides the irrigation district into sub-regions using GIS and constructs a digital mapping model; it establishes a dynamic adaptive calculation system with multi-model selection, combining meteorological data completeness, rice growth period, and historical errors, and calculates the appropriate model using a dynamic weighted adaptation algorithm, obtaining the final value from the input data; it introduces soil moisture and field management correction coefficients to construct a dynamic calculation model; combined with the calculation of real-time water requirements for rice, it generates a refined irrigation scheduling plan for the sub-regions and achieves coordinated irrigation; and it corrects parameters using a gradient descent algorithm to ensure forecast accuracy. This method, through its dynamic adaptive calculation system, solves the accuracy problem in scenarios with missing data and has broad application value.

The application discloses a kind of rice irrigation area field dynamic hydrological process simulation method and system, method includes: the spatial correlation information base of rice field and ditch is constructed;With day as step simulation cycle, according to the dynamic adjustment effective field height of rice growth stage, based on field type and water level potential energy difference calculation lateral recharge or discharge;According to the exponential decay correction of plow pan saturated hydraulic conductivity of consecutive flooding days, calculate vertical infiltration amount;Overflow drainage, lateral discharge, vertical infiltration are updated into water balance equation field water depth;According to the topological network of confluence of field spatial position and elevation, consider the peak-shaving superposition of confluence time delay, obtain sub-basin export total runoff.It realizes the whole process fine simulation of field ridge water storage, field-ditch lateral interaction, plow pan nonlinear infiltration and distributed confluence, significantly improves the precision of rice irrigation area hydrological process simulation, provides scientific basis for irrigation water resources management.

This invention discloses a method and microbial preparation for controlling mercury accumulation in rice grains using Metarhizium anisopliae colonization, belonging to the field of agricultural environment and microbiology technology. The method involves inoculating rice plants with Metarhizium anisopliae spores, followed by planting the rice in mercury-contaminated paddy fields; water management is implemented throughout the rice's growth cycle until harvest. This invention establishes a complete microbial remediation system for mercury contamination in paddy fields, providing not only a method for the colonization and application of Metarhizium anisopliae in mercury-contaminated environments, but also ensuring safe rice production, offering a feasible approach to safeguarding food security and human health.

The invention discloses trichoderma sp. Y3 and application thereof in promoting rice growth, and belongs to the technical field of microorganisms. The classification name of the trichoderma sp. Y3 is Trichoderma sp. Y3, the trichoderma sp. Y3 is preserved in the China Center for Type Culture Collection, and the preservation number is CCTCC NO: M 2026214. And biological characteristics and molecular identification are combined to identify that the trichoderma Y3 belongs to a new trichoderma species. When the strain or a fermentation product thereof is applied to a rice culture medium, the growth of rice can be effectively promoted, and the plant biomass is increased. Trichoderma Y3 is developed and prepared into the biological bacterial fertilizer, and a new way is provided for application of microorganisms to development of crop production.

This invention relates to the interdisciplinary field of environmental monitoring and agricultural science, and discloses an apparatus and method for assessing the field effects of typical emerging pollutants in unconventional water sources. It includes a transparent acrylic container lined with a layer of pond mud. The transparent acrylic facilitates real-time monitoring of rice seed germination and plant growth. The reactor is equipped with an auxiliary environmental control module that can collect temperature, humidity, light intensity, and gas composition data in real time, and automatically adjust light, temperature, humidity, and air intake conditions according to preset parameters to simulate and precisely control the rice growth environment. A water storage tank is located at the bottom of the container for connecting an automatic water intake device to achieve dynamic transport of PFAS pollutant suspensions. Through linkage with a cloud-based IoT system, environmental parameters, water quality data, and greenhouse gas emission information are displayed in real time. Environmental parameters can be dynamically adjusted according to experimental needs to simulate rice growth environments under different climatic conditions.

The application discloses a rice field weed identification analysis method and system based on image recognition, and relates to the technical field of rice field weed identification, and comprises the following steps: obtaining a first rice grayscale threshold value and a second rice grayscale threshold value based on a first number of rice seedling stage images; obtaining a rice binary image based on a rice field grayscale image, the first rice grayscale threshold value and the second rice grayscale threshold value; obtaining a binary rotation image based on the rice binary image; constructing a first coordinate point to an fth coordinate point based on the binary rotation image; screening the first coordinate point to the fth coordinate point to obtain a first screened coordinate point to an fth screened coordinate point; and judging whether an abnormal plant area appears based on the first screened coordinate point to the fth screened coordinate point; the application is used to solve the problem that the rice field weed identification technology cannot set a suitable weed detection method based on the rice growth environment, resulting in a relatively cumbersome and complex overall identification process.

The application discloses a bamboo plasma membrane H + ATPase, its gene PePMHA9 and application, belongs to the technical field of genetic engineering, and particularly relates to a bamboo plasma membrane H + ATPase, a bamboo plasma membrane H + The amino acid sequence of the bamboo plasma membrane H ATPase is shown as SEQ ID NO. 1. A coding gene PePMHA9 of the bamboo plasma membrane H ATPase, and the nucleotide sequence of the coding gene PePMHA9 is shown as SEQ ID NO. 2. The bamboo plasma membrane H ATPase or the coding gene PePMHA9 is applied to promoting the growth of rice in a high light environment. The bamboo plasma membrane H + ATPase and its coding gene PePMHA9 are successfully separated and identified from bamboo, and are transferred into wild type rice through a transgenic technology to perform function verification, and the obtained transgenic rice has increased leaf stomatal aperture, improved photosynthetic capacity and increased biomass in the high light environment compared with the wild type rice.

This invention discloses a strain of Bacillus subtilis FHY1 and its applications, belonging to the field of microbiology. The present invention obtained a strain of Bacillus subtilis FHY1 from the juice of Populus euphratica in Xinjiang. Experimental verification shows that the liquid culture of the Bacillus subtilis FHY1 strain provided by this invention has a significant inhibitory effect on rice blast fungus, with an inhibition rate of 84% and an inhibition rate of 92% on rice blast fungus spore germination. It can promote rice growth under conditions of 150mM NaCl and 250mM NaCl. Simultaneously, this strain also has good inhibitory effects on rice blast fungus, Fusarium oxysporum, Fusarium graminearum, Sclerotinia sclerotiorum, and Anthracnose fungus. Therefore, this invention provides a new strain with good control effect against pathogenic fungi, and significantly promotes rice growth and development under salt stress.

This invention relates to the field of inducible hormone dosage regulation, and more particularly to a method and system for regulating plant growth inducible hormone dosage based on sample analysis. The method includes the following steps: collecting rice samples from multiple cultivation environments, monitoring photosynthesis to obtain response sequences over multiple periods; eliminating inefficient samples based on the response sequences to obtain response curves for candidate samples; identifying growth stages from the response curves of the candidate samples to obtain growth stage curves; performing inducible hormone gain analysis based on the growth stage curves to obtain inducible hormone sensitivity values ​​for different samples; and iteratively calculating and risk-screening the inducible hormone combination ratio based on the inducible hormone sensitivity values ​​of different samples to output the optimal dosage ratio. This invention improves the photosynthetic efficiency and enhances growth stability of rice.

This utility model discloses a hydroponic rice cultivation device adapted to gradient salt stress, belonging to the field of rice cultivation technology. It includes a box body with a door hinged to the front. Several monitoring ports are located above the door. Five culture chambers are arranged in a straight line inside the box body via a movable component. The movable component includes a sliding track and a support plate. The sliding track is symmetrically arranged on the inner wall of the box body. The support plate is slidably connected to the sliding track via a slider at its bottom. A limit structure is fixed on the side of the sliding track near the door. A liquid replenishment component is located above the culture chambers. This utility model, using the aforementioned hydroponic rice cultivation device adapted to gradient salt stress, allows the culture chambers to be flexibly moved out of the box body via the movable component. This solves the problem of increased plant height and blocked light inside the box during the later stages of rice growth, ensuring that the rice receives sufficient light and guaranteeing experimental results.

This utility model provides an adjustable height rice cultivation rack, relating to the field of rice cultivation. It includes a base plate, with cultivation boxes evenly arranged on the top of the base plate. An adjustment mechanism is connected to the top of the base plate, and a locking mechanism is connected to the inner side of the adjustment mechanism. The cultivation boxes are connected to the inner side of the adjustment mechanism via the locking mechanism. By adjusting the height of the cultivation boxes, when the adjustment mechanism is needed, pulling the pull plate moves the insertion rod out of the insertion hole. Pulling the handle moves the concave frame, causing the slider to slide outside the sliding rod, changing the height of the cultivation box. Then, aligning the insertion rod with the insertion hole, loosening the pull plate allows the insertion rod to be embedded in the insertion hole, completing the fixation. This facilitates adjusting the spacing of the cultivation boxes, allowing for height adjustment according to the rice growth, preventing interference with rice growth, avoiding impact on rice cultivation, and improving the practicality of the device.

This invention belongs to the field of rice cultivation technology, specifically relating to a method for synergistic yield increase through high-density rice planting and the application of silicate mineral materials. The method includes the following steps: before transplanting rice seedlings, applying silicate mineral materials to the soil at a rate of 4.5 tons / hectare to 6.0 tons / hectare in a single application; transplanting and high-density planting of rice seedlings; wherein the high-density planting density after transplanting is 312,000 hills / hectare to 345,000 hills / hectare. The method provided by this invention achieves a synergistic effect on rice growth and yield through high-density rice planting combined with the application of silicate mineral powder, essentially "compensating for weaknesses and synergizing advantages." The synergy of these two methods can alleviate the risk of lodging and nutrient competition caused by high-density planting, achieving the comprehensive goals of "nitrogen reduction, high-density planting, quality improvement, and stress resistance."

The application provides a rice precise fertilization and fertilizer preparation method, and belongs to the field of agriculture. The rice growth period is divided into a seedling and tillering stage, a earing stage and a filling stage for fertilization, and is divided according to the nitrogen, phosphorus and potassium nutrient requirement characteristics of rice in different growth stages for different target yields. According to the nutrient requirement characteristics of rice in different growth stages, an organic-inorganic water-soluble fertilizer formula is developed, and specific fertilization time is set, so that the rice precise fertilization is realized. Compared with the traditional fertilization mode of the traditional fertilizer, the yield and quality of rice can be obviously improved, and the fertilizer consumption can be effectively reduced.

This invention relates to a controlled-release fertilizer, its preparation method, and its application. The controlled-release fertilizer comprises a fertilizer core material and a base coating, an inner control layer, and an outer control layer sequentially coated on the surface of the fertilizer core material. The base coating comprises a bio-based polyol; the inner control layer comprises polyurethane; and the outer control layer comprises polyvinyl alcohol and bentonite. The bentonite comprises bentonite calcined at 800-1000℃. The total thickness of the base coating, inner control layer, and outer control layer is 200-300 μm. The controlled-release fertilizer provided by this invention exhibits excellent mechanical stability, a long nutrient release period, and is suitable for the nutrient requirements of rice during its growth cycle, effectively preventing seedling burn and nutrient deficiency during the heading, flowering, and grain-filling stages.

The application discloses a compound composition with the effects of preventing and treating rice smut and improving quality and yield, aims to provide a compound composition which can not only effectively prevent and treat rice smut, but also significantly promote rice growth, improve yield, and simultaneously increase the content of calcium and phosphorus in brown rice, so as to realize the triple targets of 'preventing diseases, increasing yield and improving quality', and the technical scheme is composed of active component A and component B with a mass ratio of 0.5-5:10; the active component A is one or any combination of bacillus gorillae and a fermentation liquor of bacillus gorillae; the component B is composed of tryptophan, rapeseed oil, phosphorite gypsum, wood ash and tripterygium wilfordii extract; and the application belongs to the technical field of biotechnology.

This invention discloses a method, apparatus, equipment, and medium for constructing a dynamic monitoring model for rice waterlogging disasters. The method includes: acquiring historical waterlogging disaster data, rainfall, digital elevation data, and rice growth stage data for the target area; calculating effective cumulative rainfall and continuous rainfall days index based on rainfall data, and calculating slope index based on elevation data, and constructing a sample dataset after normalization and disaster level calculation; inputting the sample set into a random forest model, calculating feature weights to generate a comprehensive index calculation model; grouping the samples according to growth stage data to construct sample subsets for each growth stage; performing a normality test on the sample subsets, and using the t-distribution interval estimation method to determine the grading thresholds for different disaster levels at each growth stage; and correlating the calculation model with the grading thresholds to form a model that can directly monitor the dynamic waterlogging disasters of rice. This invention provides a model that can be used for monitoring rice waterlogging disasters, quickly outputting disaster levels and providing a basis for timely drainage and disaster reduction.

The utility model provides a water plant planting device for closed loop type rice field planting, including planting frame for fitting canal wall, a plurality of planting cups are detachably arranged on the planting frame, the planting cup includes casing, the inside of casing is provided with planting cavity for containing water plant and soil, and the casing is provided with opening communicated to planting cavity, the utility model fixes the planting cup on the planting frame after concentration, realizes the controllable position of water plant in ecological restoration canal, simultaneously, still allows according to the difference of nitrogen and phosphorus content of water body in different stages of rice growth in closed loop flow to adjust the quantity of planting cup and increase or reduce, thereby controls the total amount of water plant, realizes better water purification and water management.

The application discloses a rice germplasm yield prediction method and system for panicle type classification and growth period alignment. Firstly, time sequence images of a rice plot are acquired, and a ST-YOLO single panicle detection model is used to identify the growth stage of the rice and extract single panicle images. The single panicle images are input into a PP-LCNet multi-label classification model to synchronously identify the panicle type and the growth period, filter mature period data, and process the data by panicle type, so that the growth period alignment and the panicle type classification are realized, and the temporal and spatial feature noise introduced due to different phenology and morphology is eliminated. The geometric features of the detection frame are extracted at the single panicle scale, and the number, color, texture, spectrum, phenology and other features are extracted by using a Swin Transformer segmentation model at the group scale. Machine learning algorithms are used to respectively establish yield prediction models for different panicle types. The application effectively solves the problem of complex temporal and spatial noise interference in large-scale breeding tests, and realizes high-throughput, accurate and non-destructive rice yield prediction.

This invention belongs to the field of agricultural biotechnology and fertilizer preparation technology, and more specifically relates to a compound fertilizer for the prevention and control of soil-borne diseases in rice and its preparation method. The compound fertilizer for the prevention and control of soil-borne diseases in rice provided by this invention has a four-layer gradient structure, consisting of a core, a middle layer, an isolation transition layer, and an outer layer from the inside out. The core includes urea, potassium dihydrogen phosphate, potassium chloride, potassium silicate, and chitosan oligosaccharides; the middle layer is a drug-loaded biochar slow-release layer; the isolation transition layer is formed by cross-linking sodium alginate and phytic acid; and the outer layer is a microbial protective layer. Through the core-shell-membrane multi-layer gradient structure design, physical isolation and sequential release of each component are achieved. The isolation transition layer effectively blocks direct contact between chemical fungicides and beneficial microorganisms, solving the problem of fungicide-microorganism interaction; at the same time, this structure ensures the orderly release of nutrients, fungicides, and microorganisms, matching the growth and disease occurrence patterns of rice.

The application discloses a rice seedling raising bio-based controlled release film material and controlled release nitrogen fertilizer and a preparation method and application thereof. The controlled release nitrogen fertilizer comprises a large particle urea and a coating layer wrapped on the surface of the large particle urea, and the coating layer is composed of a bottom layer, an inner coating layer and an outer coating layer. The bottom layer is a functional substance aqueous solution prepared from a functional substance and water, the inner coating layer is a bio-based controlled release film material prepared from castor oil, plant oil polyol, isocyanate and a sealant, and the outer coating layer is a controlled release film material prepared from a hydroxyl-containing substance, isocyanate and a sealant. The coating layer material in the controlled release nitrogen fertilizer is mainly prepared from abundant and low-cost plant oil, the bio-based raw material is applied to the coating layer material, the coating process is green, and the application meets the demand of green agriculture. In addition, the compactness of the coating layer is progressive, water can be prevented from entering the fertilizer through the film layer during the seedling raising period, and the demand for nitrogen for tillering and rice growth can be met after rice transplanting.

This invention discloses a method and system for high-risk early warning of rice planthoppers in the field over the next 15 days based on a binomial GAM model, belonging to the field of intelligent monitoring and early warning technology for agricultural pests and diseases. This invention acquires daily monitoring data from the rice tillering stage to maturity and harvest, and processes missing values. It constructs a feature window and a prediction window using a 15-day window and a 1-day step size, extracting features such as planthopper population, temperature, and the proportion of the growth stage. A dynamic planthopper population threshold is set according to the rice growth stage, generating binary early warning labels. A binomial GAM model with a cloglog link function is constructed, trained using the feature set as input and the early warning labels as output. The comprehensive early warning probability is calculated based on the daily high-risk probability output by the model, and compared with the threshold to output the 15-day early warning result. This invention features a long early warning period, strong interpretability, high accuracy, thresholds that closely match the characteristics of the growth stage, standardized data processing, and is suitable for the needs of integrated pest management in the field, making it easy to promote and apply.

The application discloses a method for regulating rice growth by using NU1-H and application thereof, and belongs to the technical field of genetic engineering. The application provides a method for regulating rice growth, which comprises the step of introducing NU1-H into the rice, wherein the nucleotide sequence of the NU1-H is shown as SEQ ID NO. 1. The regulation of the rice growth comprises regulation of nitrogen utilization rate of the rice, regulation of seed protein content of the rice and regulation of yield traits of the rice. The application provides that the NU1-H plays a key role in regulation of rice growth, including nitrogen utilization rate of the rice, yield of the rice, rice protein content and the like, and provides a new gene resource and research basis for research on nitrogen metabolism of the rice.

The application discloses a rice growth prediction method and device based on a StyleGAN3 algorithm, equipment and a medium, and relates to the rice growth prediction field.The method comprises the following steps: acquiring process images of a plurality of growth periods of rice, and preprocessing each process image to obtain a plurality of expanded process images; constructing a rice growth image prediction model based on the StyleGAN3 algorithm; determining optimal gamma and optimal kimg values of the rice growth image prediction model according to the expanded process images of the growth periods and evaluation indexes, and taking the rice growth image prediction model corresponding to the optimal gamma and optimal kimg values as a target rice growth image prediction model, wherein the evaluation indexes include eqt50k_int, eqr50k and kid50k_full.The application can improve the accuracy of rice growth prediction.