108 results about "Crop production" patented technology

This disclosure relates generally to system and method for estimating crop water requirement using multi-sensor data fusion. Increasing global population is imparting pressure on both agriculture for food demand and limited freshwater resources for consumption. Estimating crop water requirement reduces water demand for crop production. The method divides soil and crop into multiple vertical and horizontal profiles to estimate water balance thereby reducing the errors in estimation of crop water requirement. Additionally, the method has capability to interlink the multiple data sets such as satellite based earth observations, weather observations from IoT sensors, Weather forecasts from global circulation models, and crop knowledge base for crop water requirement estimation. The method is based on spatio-temporal modeling for multi-layer crop and soil water balance and helps to generate the additional insights on crop water requirement like moisture at different levels in soil profile, crop canopy growth at different locations.

The invention discloses a crop yield prediction method and device based on meteorological disaster influence, and relates to the technical field of crop management.The method comprises the steps that a yield prediction model database is constructed, and the yield prediction model database is composed of crop production areas of different disaster risk levels and corresponding crop yield prediction models; obtaining the meteorological disaster risk, the exposure of disaster-bearing bodies, the environmental vulnerability and the disaster prevention and reduction capability in the to-be-predicted crop production area, so as to determine the disaster risk level of the to-be-predicted crop production area; and searching a crop yield prediction model corresponding to the to-be-predicted crop production area in a preset database according to the disaster risk level of the to-be-predicted crop production area, and obtaining the final yield of the to-be-predicted crop production area by using the crop yield prediction model. According to the invention, the problem of low accuracy during crop yield prediction in the prior art is solved.

The utility model relates to a multi-stage flour processing flour mill, and belongs to the technical field of crop production. The flour mill comprises a flour mill body, a coarse grinding machine and a fine grinding machine, and the coarse grinding machine is composed of a discharging hopper, a material blocking disc, a transmission disc, a driving motor and a grinding assembly and used for conducting preliminary crushing on grains; the fine grinding machine is provided with a protection box, a grinding wheel, a fine-hole leakage net and a scraping plate, secondary submerging of materials is achieved through a material returning plate, a spiral blade feeding device and a rotary rod motor, and particles influencing the eating taste are prevented from occurring in the grinding process. The equipment is of a multi-stage transmission structure, linkage of coarse grinding and fine grinding is coordinated through a belt, a transmission rod and a liftable transmission assembly, and efficient classified collection of flour is achieved in combination with a leakage net and a transmission leakage net. By optimizing the structural design, the problems that a traditional flour mill is low in efficiency and uneven in flour quality are solved, and the flour mill has the advantages of being high in grinding precision, stable in flour yield, convenient and fast to operate and the like.

The invention discloses a digital twinborn irrigation district-oriented water resource efficient utilization and rice population quality comprehensive evaluation method and system, and relates to the technical field of irrigation district water resource efficient utilization and agricultural technology evaluation. Comprising the following steps: constructing a five-dimensional multi-level comprehensive evaluation index system, and determining a level framework; weighting the second-level indexes based on an analytic hierarchy process and calculating scores of the first-level indexes; a comprehensive integration model is established, the five first-level index scores serve as input, the nonlinear relation between the indexes is automatically learned, and an irrigation area comprehensive performance index is output; an evaluation system and a CatBoost model are integrated to a digital twinborn irrigation area platform, and multi-source data automatic access, model online reasoning and evaluation result space visualization are achieved. According to the method, the problems that an existing evaluation method is split in system, difficult in index quantification, depends on subjective authority assignment and cannot achieve dynamic spatialization display are solved, and intelligent and engineering decision support is provided for collaborative optimization of irrigation area water resources and crop production.

An object of a system according to an embodiment is to improve the efficiency of agricultural management by analyzing agricultural data and measuring the state and moisture content of soil in real time.SOLUTION: A system includes a data analysis unit, a sensor measurement unit, a prediction unit, and a consulting unit. The data analysis part analyzes the agricultural data. The sensor measurement unit measures the state and moisture content of the soil in real time. The prediction unit predicts future crop production based on past data. The consulting unit provides an optimal solution according to the situation of the farm.SELECTED DRAWING: Figure 1

The invention belongs to the technical field of crop growth monitoring and agricultural economy, and particularly relates to a crop production risk assessment method and system based on MODIS time series data and machine learning, and the method comprises the following steps: S1, obtaining MODIS time series data, crop planting distribution data, county-level crop per unit yield statistical data and an administrative division base map, s2, performing mask processing on the MODIS time series data and the crop planting distribution data to obtain an 8-day time series data set corresponding to crops, S3, calculating a per unit yield fluctuation rate, adopting a non-parametric weighted local linear regression method to eliminate a crop per unit yield trend to obtain per unit yield fluctuation data, and then calculating per unit yield fluctuation rates of county-divided crops, S4, constructing a model, and S5, constructing a model. The method includes the steps of S1, establishing a machine learning regression model based on the GPP data set and the LST data set in the step S2 and the unit yield fluctuation rate data in the step S3, S5, crop production risk assessment, and generating a grid-level crop unit yield loss result by utilizing the optimal model in the step S4 and combining an MODIS time sequence grid data set.

This invention concerns a remarkable method of an integration of Quantum Dots in optoelectronic devices in for including embedding quantum dots (metallic, inorganic or colloidal) within different layers of the multilayer structure of the emerging thin film optoelectronic devices such as Organic Photovoltaics - OPVs, Perovskite Photovoltaics - PPVs, Organic Light Emitting Diodes - OLEDs to achieve higher performance and subsequently deploying these improved flexible and lightweight devices in Agriculture notably Greenhouses, Open Field Cultivations, Breeding, as well as notably Glass Buildings, UV Health-care protection. This invention promotes the enhancement of power conversion efficiency of semitransparent OPV panels and desirable properties of optoelectronic devices as well as the enhancement of crop production more than 30%. This phenomenon is attributed to a combination of factors: the shading effect generated by OPV panels and an even bigger enhancement as a result of the incorporation of quantum dots within a nanolayer of the multilayer structure of an optoelectronic device. These quantum dots, acting as additives in solutions, are printed onto a substrate and have the ability to achieve optical engineering and optical tuning by controlling the solar spectrum that penetrates through optoelectronic devices, thus the manipulation of absorption across a range of wavelengths, including far UV, UV, and even less beneficial visible wavelengths, is realized. Consequently, these wavelengths are efficiently converted into more advantageous blue and red wavelengths for agricultural applications, or even in any preferable wavelength of the visible spectrum in applications such as glass buildings.

In one aspect, a computing system is configured to: receive input data associated with producing crops within a field during a crop production cycle; calculate carbon intensity (CI) scores for a plurality of locations within the field based at least in part on the input data; and generate a geospatial CI map based on the calculated CI scores.

A misting device for aeroponically cultivating plants in a growing chamber provided with fluid in a water reservoir, comprising: an ultrasonic atomization transducer (UAT) configured to generate a misting spray in the presence of fluid; and a wicking means configured to transport fluid from the water reservoir by capillary action to the ultrasonic atomization transducer, when the lower end of the wicking means is disposed in contact with the water reservoir. Also disclosed is a growing system for aeroponically cultivating plants comprising: a growing chamber for containing the plants, and provided with a water reservoir containing fluid; and misting devices. The misting devices are oriented such that the respective misting sprays interact with each other to create an ultra-fine mist inside the growing chamber. In some aspects, the water reservoir may further comprise nanobubbles to maintain elevated dissolved oxygen levels and improve root-zone oxygenation.

The present application belongs to the field of microbial technology, and particularly relates to a new bacterial strain of Acinetobacter sp. and its use. The bacterial strain is isolated from mangrove soil, is a new species of Acinetobacter sp., is named as Acinetobacter sp. GXMZU3951, and the bacteria have been registered and preserved in China General Microbiological Culture Collection Center (CGMCC) with a preservation number of CGMCC NO: 36553. The Acinetobacter sp. GXMZU3951 of the present application has iron carrier production activity, can produce higher indole acetic acid, and has the ability to promote plant growth and the potential to resist heavy metals. The present application can be used in the biological remediation of heavy metal contaminated soil and as a green and environment-friendly biofertilizer for improving crop production, and has a good development and application prospect.

The application belongs to the technical field of microorganisms, and particularly relates to a halophilic bacillus, a bacterial agent and application thereof. The application provides a halophilic bacillus Halobacillus andaensis, and the preservation number is CCTCC M 20232394. The application also provides a bacterial agent containing the halophilic bacillus. The application also provides application of the halophilic bacillus or the bacterial agent in promoting plant growth under saline-alkali stress, improving plant stress resistance, improving soil, and crop production. The halophilic bacillus provided by the application has excellent saline-alkali tolerance, and can only grow under saline-alkali conditions. Meanwhile, the halophilic bacillus has growth-promoting characteristics such as salt reduction, acid production for alkali reduction, nitrogen fixation, and the like, can reduce salt damage, and improve crop yield and quality.

The utility model discloses a crop seeding and fertilizing integrated device, which belongs to the technical field of crop production, and comprises a moving frame, a storage box, a water pump and a feeding cylinder are fixedly connected above the moving frame, a blanking pipe is connected in the moving frame, and the water pump and the feeding cylinder are fixedly connected above the moving frame. A fertilizing barrel is connected in the moving frame, and a roller is rotationally connected in the moving frame. Through the arrangement of the feeding cylinder, the fertilizing cylinder, the sleeve plate, the auxiliary structure and the discharging pipe and the cooperation of the first rotating rod, the first anti-skid belt and the second anti-skid belt, the first sealing ring and the second sealing ring can achieve the synchronous overturning function, seeds and fertilizing liquid in discharging can be conveniently controlled, the phenomenon that too much seeds or fertilizing liquid is discharged is avoided, and the working efficiency is improved. In addition, planting and fertilization can be synchronously carried out, so that the subsequent operation procedures are reduced, and the growth of crops and the health of soil are guaranteed.

The invention belongs to the technical field of agricultural intellectualization, and provides a multi-angle and multi-strategy-based greenhouse crop production environment monitoring control method, which comprises the following steps: collecting environment and soil crop data to construct a matrix and pre-processing the matrix; extracting time sequence characteristics by adopting Res-BiLSTM, and constructing a yield prediction model in combination with the improved XGBoost; integrating multi-dimensional features to construct a feature matrix, completing standardization, and determining an optimal cluster number and a cluster affiliation label by adopting an improved K-means clustering algorithm; for each cluster, nonlinear features are extracted through improved SVR, and a temperature and humidity prediction model is constructed by combining with a GBDT model fitting residual error; the key parameters of the model are optimized by adopting Chebyshev chaotic mapping for the CEO algorithm; and a layered cooperative regulation and control mechanism of MPC global optimization and feedforward PID real-time correction is adopted. According to the control method, multi-source data acquisition, precise prediction model construction and a layered cooperative regulation mechanism are integrated, precise monitoring and dynamic regulation of the greenhouse environment are realized, and the crop yield and quality stability are improved.

The application discloses a preparation method of carbon dot material based on blue bacteria, and the carbon dot material is prepared by taking blue bacteria photosystem pigment as raw material. The semiconductor fluorescent carbon dot prepared by the method has stable properties, has wide spectrum absorption to sunlight, can convert ultraviolet light, visible light and infrared light into red light, and has good photoelectric performance. The application further discloses a preparation method of a blue bacteria-based semiconductor fluorescent carbon dot-blue bacteria hybrid, and application of the carbon dot material based on blue bacteria in crop production.

The present invention provides a method for producing an animal feed composition from a crop containing the plant Beta vulgaris or a part thereof, and an animal feed composition produced by the said method. [Solution] The method includes the steps of preparing a crop containing a Beta vulgaris plant or Beta vulgaris species having a dry matter content of more than approximately 18% by mass, chopping the grain, transporting the fragments to a leaching device to produce a fluid and pulp, wherein the pulp contains natural sugars of approximately 15% to approximately 60% by mass of the dry matter of the pulp, removing the pulp from the leaching device, and processing the pulp to form a feed composition.

The invention provides a corn close planting and yield increasing method based on coordination of root zone targeted carbon supply and canopy carbon supplement, and belongs to the technical field of crop production. The specific micromolecular carbon fertilizer (the molecular weight is 1t, 1000Da, and the carboxyl content is greater than or equal to 5mmol / g) is used to realize rapid leaf surface absorption and root activity activation (the bleeding sap flow rate in the R3 stage is increased by 20.7%), and the yield is not reduced when the micromolecular carbon fertilizer is cooperatively applied with urea / compound fertilizer. And through cooperative regulation and control of root zone targeted carbon supply and canopy unmanned aerial vehicle carbon supplementation, root system downward pricking can be remarkably promoted, root system activity can be maintained, leaf aging can be delayed, overall physiological optimization in the corn growth period is achieved, and high-yield and high-efficiency cultivation of close planting corn is achieved.

A system is provided.SOLUTION: A system comprising: sensor means for measuring environmental information such as soil conditions, moisture levels, light levels, and the like; storage means for storing the environmental information collected from the sensors in a cloud database; analysis means for executing a generative AI model to perform an analysis based on the information stored in the cloud database; action plan generation means for generating an action plan for crop management based on the analysis; and prediction means for providing a prediction of future crop production.SELECTED DRAWING: Figure 1

The utility model relates to the technical field of crop production, and discloses a bell pepper production integrated operation device which is characterized in that a movable chassis is provided with a plurality of crawler-type wheels; the ditching and soil covering mechanism is arranged at the tail part of the movable chassis and can be switched between a ditching state and a soil covering state; the sowing mechanism is arranged at the tail part of the movable chassis and is used for sowing bell pepper seeds into a groove formed by the ditching and soil covering mechanism; the picking mechanism is arranged on the movable chassis in a sliding manner and is used for picking mature bell peppers; the lifting mechanism is arranged on the movable chassis and used for driving the picking mechanism to move in the height direction. According to the utility model, the increasing mechanical picking requirement is met, the automation from seeding to picking is realized, and the picking efficiency and quality are obviously improved.

The present application relates to a kind of farm scale wheat and corn crop water and fertilizer integrated operation decision method and device, belong to intelligent agricultural crop production management field.It includes: the automatic acquisition of planting area thermal infrared image, multispectral image, obtains ground crop vegetation nitrogen content, plant number, vegetation dry weight sample data, calculates the above-ground sample biomass;Nitrogen content, biomass dynamic sample data of different growth stages of crops are combined, vegetation nitrogen-biomass characteristic space is constructed, and nitrogen dilution curve is obtained by fitting;Establish vegetation nitrogen, biomass intelligent remote sensing inversion model, and invert the whole area vegetation nitrogen content and biomass spatial distribution atlas;Temperature drought vegetation index is calculated, combined with nitrogen-biomass atlas, nitrogen nutrition index is analyzed pixel by pixel;Temperature drought index, nitrogen nutrition index are established respectively, and temperature drought index-nitrogen nutrition index characteristic space is formed, and water and fertilizer deficiency diagnosis is carried out pixel by pixel by gridding characteristic space.

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.

The algae monitoring system of the present invention has a water bloom treatment mode and a normal operation mode. In the water bloom treatment mode, the algae on the surface of the water body can be transported to the bottom of the water body through a number of hemispherical hoppers provided on the algae collecting rod group, and the algae can be buried in the bottom mud at the bottom of the water body, and the nitrogen and phosphorus elements inside the algae can be converted into waste. By subsequently directly digging out the bottom mud, it can be formed into fertilizer for local crop production, reducing the use of chemical fertilizers, thereby suppressing the occurrence of water blooms to a certain extent, and also reducing the capital investment in crop production; at the same time, aquatic plants are also planted in the main frame of the monitoring system. In the normal operation mode, the hemispherical hopper can transport the bottom mud to the surface of the water body for the aquatic plants to absorb nutrients, reducing the nitrogen and phosphorus elements in the water body, and also reducing the application of fertilizers.

The invention relates to an agricultural intelligent decision-making system and method and an application device and method.The agricultural intelligent decision-making system comprises a heterogeneous data access module, a farming real-time data module, a digital twinning module, a self-calibration module, a decision-making module and an execution mechanism, and the heterogeneous data access module and the farming real-time data module are both connected with the digital twinning module; the digital twin module and the execution mechanism are connected in sequence, and the execution mechanism is connected with the heterogeneous data access module and the farming real-time data module. According to the agricultural intelligent decision-making system, through expanding data factors and carrying out comprehensive intelligent analysis, comprehensive evaluation on soil and crop health can be realized, a production optimization decision is formed, and agriculture is promoted to develop towards the direction of digitization, intellectualization and high income. The invention also relates to a computer readable storage medium, an agricultural intelligent robot, an embedded agricultural intelligent robot decision-making method, an agricultural intelligent decision-making system and method for crop production in a controlled space, a satellite load device, and a soil health intelligent evaluation method and device.

The application belongs to the technical field of crop production, and particularly relates to a corn planting method. The application adjusts corn root system development through carboxylated nanometer carbon dots, aims to build an ideal root type of dense corn, coordinates and optimizes root layer and crown layer structures, balances root layer and soil water and nutrient supply, and further improves corn yield and water and fertilizer utilization efficiency.

This invention relates to a planting device for achieving uniform sowing, comprising: a planting frame for arranging planting equipment; and a planting strip for carrying crops and crop seeds for growth and cultivation, and for controlled movement relative to the planting frame. The planting frame is configured with a multi-layered structure extending axially and from the axial direction, such that the planting strips for carrying crop seeds or crops can be arranged in layers on the multi-layered structure of the planting frame and reciprocate along the axial direction of the planting frame. A sowing mechanism arranged on one side of the axial direction of the planting frame arranges crop seeds, selected and arranged by the sowing mechanism, onto the planting strip according to set sowing parameters, such that at least a portion of the sowing mechanism's structure can approach or contact the planting strip. This allows the planting device of this application to improve sowing quality through feedback control and achieve automated and intensive crop production based on several operating modes suitable for different planting stages.

A pest control system includes a plurality of first light sources configured to emit light with a first wavelength to a first region of a cultivation region in which crops are cultivated, to suppress damage to the crops caused by harmful insects, and one or more second light sources configured to emit light with a second wavelength to gather the harmful insects in a second region that is a part of the cultivation region and smaller than the first region.

The invention belongs to the technical field of biology, and particularly relates to a screening method of a small molecule compound for inhibiting insect-borne diseases and related application. In order to solve the problem that crop production is seriously harmed due to efficient aphid virus transmission, starting from the aphid feeding and virus obtaining process, a virtual screening-molecular docking method is adopted, Chinese gall bodies interacting with aphid colloidal salivary protein sheath protein are screened out for tanning, the Chinese gall bodies are used for tanning, viruses attached to the tip of an aphid mouth needle are reduced, and the aphid yield is improved. And the transmission efficiency of the virus is reduced.

To provide a pest control system capable of keeping harmful insects for a long period of time SOLUTION: A pest control system comprising: a plurality of first light sources configured to irradiate a first area of a cultivation area in which crops are cultivated with light having a first wavelength for suppressing damage to the crops caused by pests; and one or more second light sources configured to irradiate a second area of the cultivation area with light having a second wavelength for collecting the pests and beneficial insects for suppressing the damage to the crops caused by the pests, the second area being a part of the cultivation area and smaller than the first area.SELECTED DRAWING: Figure 1

Facility layouts and configurations for an automated crop production system for controlled environment agriculture. In particular implementations, the core of the facility comprises a controlled growth environment and a central processing system. The controlled growth environment includes systems for exposing crops housed in modules, such as grow towers, to controlled environmental conditions. The central processing system may include various stations and functionality both for preparing crop-bearing modules to be inserted in the controlled growth environment, for harvesting crops from the crop-bearing modules after they have been extracted from the controlled growth environment, and for cleaning or washing crop-bearing modules for re-use. The controlled growth environment may include vertical farming structure having vertical grow towers and associated conveyance mechanisms for moving the vertical grow towers along one or more grow lines. The conveyance mechanisms may include a return transfer mechanism that creates a return or u-shaped path for each grow line.

The application provides a water-retaining soil conditioner containing high-efficiency degrading bacteria and a preparation method and application thereof, and belongs to the technical field of soil improvement.The water-retaining soil conditioner comprises a carboxymethylated modified humic acid-chitosan compound, modified attapulgite powder, a composite microbial inoculum, konjac glucosan, polyacrylic acid, bentonite, polyglutamic acid, sodium alginate, mushroom residue, seaweed residue and straw compost; the composite microbial inoculum is obtained by combination of Candida tropicalis, Bacillus smithii and Bacillus pasteurii.The application realizes precise adaptation of the carrier and the high-efficiency degrading bacterial group by optimizing the design of the composite water-retaining carrier and introducing specific bacterial combinations, strengthens the synergistic effect of water retention, bacteria fixation, slow release and soil improvement, realizes water retention, degradation and fertilization synergistic effect, and has important practical significance and application value for improving soil quality, guaranteeing crop production and promoting the development of ecological agriculture.

The invention belongs to the technical field of microbial fertilizers, and particularly relates to a novel multifunctional zinc-silicon bacterial fertilizer which comprises a microbial agent, and the microbial agent is formed by compounding bacillus velezensis and piperlongumine or hinokitiol according to the mass ratio of (1-150): (150-1). The novel multifunctional zinc-silicon bacterial fertilizer can effectively prevent and control crop diseases so as to achieve the biological control effect, can supplement elements such as zinc and silicon required by crop growth, is beneficial to crop production, has the effect of multiple effects after one application, and can provide support for green and healthy development of crops.