12362 results about "Agronomy" patented technology

The embodiment of the invention provides a soil nutrient spectrum detection and regulation method and system, and belongs to the technical field of soil nutrient spectrum detection and regulation. The method comprises the following steps: collecting soil multispectral original data and environmental data, generating a calibration matrix and a nonlinear correction parameter, executing optical reflectivity conversion, and synchronously fusing a time domain reflectometry dielectric constant and a spectral moisture index to obtain fused moisture content; selecting a nutrient diagnosis characteristic wave band pair to obtain a moisture inhibition type spectral index; and predicting the soil nutrient content by using a pre-trained transfer learning model to obtain a soil nutrient content prediction value, and performing fertilization regulation and control based on the fertilization decision risk coefficient. According to the invention, extreme soil moisture measurement deviation is solved through a soil type adaptive moisture fusion technology; through multi-source risk quantitative decision and PID self-adaptive regulation and control, the fertilization amount can be dynamically optimized, execution safety is guaranteed, and a detection-decision-execution precision agriculture closed loop is formed.

The invention discloses a soil organic matter prediction mapping method, device and equipment based on deep learning and a medium, and relates to the field of digital soil mapping, and the method comprises the steps: obtaining a remote sensing image of target region soil, and setting a preset number of soil sampling points; comprehensively acquiring environmental data indexes such as terrain factors, vegetation factors, climate factors and land utilization factors; constructing three-dimensional environment tensor data in a preset range of each sampling point, and inputting the three-dimensional environment tensor data into the soil organic matter content prediction model to obtain an organic matter content prediction value set of the soil sampling points in the target area; and generating a spatial distribution prediction map of the soil organic matter content of the target area by combining the prediction value set and the spatial coordinates of the soil sampling points, thereby improving the accuracy of soil organic matter prediction and the mapping efficiency, and providing technical support for soil resource management and agricultural sustainable development.

The invention relates to the field of agricultural fertilization, in particular to a soil carbon nitrogen ratio fused straw returning fertilization optimization method, which comprises the following steps of: performing standardization processing on farmland static characteristic data to obtain a farmland standardization characteristic vector and a characteristic standardization threshold value; performing coupling analysis on the straw returning amount and the soil carbon-nitrogen ratio in the farmland standardized feature vector set to obtain risk factors; performing path gradient integration on the risk potential energy field function to obtain a symmetric path cost gain factor; performing path cost gain correction on the Euclidean distance to obtain adaptive distance measurement; and fuzzy C-means clustering is performed on the farmland standardized feature vectors through adaptive distance measurement to obtain differentiated fertilization management partitions, so that the problem of inaccurate fertilization decision caused by incapability of identifying key feature nonlinear coupling risks in existing management partitions based on Euclidean distance is solved.

According to the disclosure, there is provided seed and plants of the corn variety designated CV955045. The disclosure thus relates to the plants, seeds, and tissue cultures of the variety CV955045, and to methods for producing a corn plant produced by crossing a corn plant of variety CV955045 with itself or with another corn plant, such as a plant of another variety. The disclosure further relates to corn seeds and plants produced by crossing plants of variety CV955045 with plants of another variety, such as another inbred line. The disclosure further relates to the inbred and hybrid genetic complements of plants of variety CV955045.

According to the disclosure, there is provided seed and plants of the corn variety designated CV960136. The disclosure thus relates to the plants, seeds, and tissue cultures of the variety CV960136, and to methods for producing a corn plant produced by crossing a corn plant of variety CV960136 with itself or with another corn plant, such as a plant of another variety. The disclosure further relates to corn seeds and plants produced by crossing plants of variety CV960136 with plants of another variety, such as another inbred line. The disclosure further relates to the inbred and hybrid genetic complements of plants of variety CV960136.

The invention discloses a microbiological culture scheme customization recommendation method and system based on soil data analysis, and relates to the technical field of microbiological culture plants.The method comprises the steps that soil samples at different positions and depths are collected, soil characteristic data are analyzed, and data processing is carried out; microbial community information is obtained through soil DNA extraction, PCR amplification and high-throughput sequencing, and distribution and functions of microorganisms are evaluated in combination with data preprocessing and diversity analysis; selecting proper microbial strains according to soil characteristics and microbial community analysis results; a microbial culture scheme is combined with agricultural management measures; the conditions of soil and microorganisms are monitored in real time, and a microorganism culture scheme is dynamically adjusted based on a feedback mechanism; through field trials and advanced performance evaluation indexes, the effect of the microbial culture scheme is verified for a long time. The method has high adaptability and sustainability, and customized microorganism management schemes can be provided in different agricultural environments.

According to the disclosure, there is provided seed and plants of the com variety designated CV644310. The disclosure thus relates to the plants, seeds, and tissue cultures of the variety CV644310, and to methods for producing a corn plant produced by crossing a corn plant of variety CV644310 with itself or with another corn plant, such as a plant of another variety. The disclosure further relates to corn seeds and plants produced by crossing plants of variety CV644310 with plants of another variety, such as another inbred line. The disclosure further relates to the inbred and hybrid genetic complements of plants of variety CV644310.

The compounds represented by formula (I) of this invention exhibit excellent activity against a variety of pests and mites in agriculture or other fields. Furthermore, these compounds achieve good control effects at very low doses, and therefore can be used to prepare insecticides and / or acaricides.

The invention relates to the technical field of farmland fertilization management, and discloses an intelligent fertilization management method and system based on machine learning. The method comprises the steps that a soil parameter set and an environment parameter set of a target farmland are collected, soil parameters comprise soil humidity, nitrogen phosphorus and potassium content and pH value, and environment parameters comprise illumination intensity, temperature and rainfall; constructing a soil nutrient dynamic change model according to historical data, and predicting a soil nutrient consumption trend in a future preset period; generating an initial fertilization scheme based on the nutrient consumption trend and the crop growth stage characteristics; monitoring the growth state of crops in real time by using a multi-mode sensor, and obtaining a leaf surface color index, a stem height and a fruit development progress to form a growth state data set; and inputting the growth state data set and the initial fertilization scheme into a fertilization decision model, and comparing growth state deviation to adjust the nutrient distribution ratio to generate an optimized fertilization scheme.

The invention discloses a corn germination image segmentation method based on an elite adaptive rime algorithm. Relates to the technical field of agricultural seed detection and image processing, in particular to the technical field of corn germination image segmentation based on an elite adaptive rime algorithm. According to the method, a dual-adaptive weight mechanism and an elite reselection strategy are introduced into a rime optimization algorithm, the convergence capability of the algorithm is enhanced, and multi-threshold segmentation is carried out on the corn kernel germination image in combination with the Kapur entropy. And the image segmentation precision is effectively improved. The method comprises the following steps: acquiring a corn germination image data set; drawing a two-dimensional histogram, and inputting the two-dimensional histogram into a Kapur entropy function to obtain an objective function fobj; an elite solution module is initialized; a dual-adaptive weight mechanism is added; a soft rime strategy and a hard rime strategy are improved; updating the elite solution after the rime search strategy module; and the target function fobj is input into a rime improvement algorithm, and an optimal threshold value is obtained.

According to the disclosure, there is provided seed and plants of the corn variety designated CV962284. The disclosure thus relates to the plants, seeds, and tissue cultures of the variety CV962284, and to methods for producing a corn plant produced by crossing a corn plant of variety CV962284 with itself or with another corn plant, such as a plant of another variety. The disclosure further relates to corn seeds and plants produced by crossing plants of variety CV962284 with plants of another variety, such as another inbred line. The disclosure further relates to the inbred and hybrid genetic complements of plants of variety CV962284.

According to the disclosure, there is provided seed and plants of the corn variety designated CV978472. The disclosure thus relates to the plants, seeds, and tissue cultures of the variety CV978472, and to methods for producing a corn plant produced by crossing a corn plant of variety CV978472 with itself or with another corn plant, such as a plant of another variety. The disclosure further relates to corn seeds and plants produced by crossing plants of variety CV978472 with plants of another variety, such as another inbred line. The disclosure further relates to the inbred and hybrid genetic complements of plants of variety CV978472.

According to the disclosure, there is provided seed and plants of the corn variety designated CV851273. The disclosure thus relates to the plants, seeds, and tissue cultures of the variety CV851273, and to methods for producing a corn plant produced by crossing a corn plant of variety CV851273 with itself or with another corn plant, such as a plant of another variety. The disclosure further relates to corn seeds and plants produced by crossing plants of variety CV851273 with plants of another variety, such as another inbred line. The disclosure further relates to the inbred and hybrid genetic complements of plants of variety CV851273.

Present invention teaches the method of using a keratin hydrolysis peptide (“KHP”) solution to promote the growth of cotton under low light conditions. By selectively choosing specific weights of feathers and water, and treating the mixture to a high-temperature high-pressure hydrolysis process, the resulting solution is confirmed to contain at least 253 peptides and then apply to the cotton by leaf spray at seeding stage. Optionally, the KHP solution can be diluted by water, as disclosed in the specification, for infusing or leaf spraying.

According to the invention, there is provided seed and plants of the corn variety designated CV554903. The invention thus relates to the plants, seeds and tissue cultures of the variety CV554903, and to methods for producing a corn plant produced by crossing a corn plant of variety CV554903 with itself or with another corn plant, such as a plant of another variety. The invention further relates to corn seeds and plants produced by crossing plants of variety CV554903 with plants of another variety, such as another inbred line. The invention further relates to the inbred and hybrid genetic complements of plants of variety CV554903.

Disclosed are a handmade flower and a flower maker. The handmade flower comprises a rod, a bracket, a lump, and pieces, wherein a socket allowing one end of the rod to be inserted therein is formed in one end of the bracket, an assembly hole is formed in the other end of the bracket, and an eject post and a connecting post are arranged at two ends of the lump respectively. The handmade flower can be assembled by insertion more directly and easily; by means of the flower maker, the handmade flower can be assembled more tightly and can be made more efficiently and easily, and the flower is likely to fall apart and can be easily made by kids.

According to the disclosure, there is provided seed and plants of the corn variety designated CV636724. The disclosure thus relates to the plants, seeds, and tissue cultures of the variety CV636724, and to methods for producing a corn plant produced by crossing a corn plant of variety CV636724 with itself or with another corn plant, such as a plant of another variety. The disclosure further relates to corn seeds and plants produced by crossing plants of variety CV636724 with plants of another variety, such as another inbred line. The disclosure further relates to the inbred and hybrid genetic complements of plants of variety CV636724.

The invention discloses a multifunctional low-temperature corn straw degradation complex microbial inoculant, a preparation method and application, the complex microbial inoculant is compounded by a plurality of microorganisms with straw degradation, potassium dissolving and growth promoting functions, and the complex microbial inoculant comprises the following strains: bacillus subtilis K15, curveolate Prickia L11 and bacillus mycoides L31. The complex microbial inoculant disclosed by the invention realizes synergistic interaction and functional complementation, and through scientific compounding of strains, the straw decomposition rate is remarkably increased, and the decomposition period is obviously shortened; the adaptive capacity and colonization competitiveness of microorganisms in a low-temperature and complex soil environment in winter are enhanced. The complex microbial inoculant disclosed by the invention also has multiple functions of degrading straws, dissolving potassium, producing IAA (Indoleacetic Acid) and the like. The soil potassium which is difficult to utilize can be converted into quick-acting potassium while the straws are quickly decomposed to release nutrients.

Present invention teaches the method of using a keratin hydrolysis peptide (“KHP”) solution to enhance the yield and quality of tea leaves. By selectively choosing specific weights of feathers and water, and treating the mixture to a high-temperature high-pressure hydrolysis process, the resulting solution is confirmed to contain at least 253 peptides and then apply to the tea trees either by infusing to the soil or by leaf spray at certain growth stages. Optionally, the KHP solution can be diluted by water, as disclosed in the specification, for soil infusing or leaf spraying.

The invention belongs to the technical field of cell cryopreservation, and relates to a cryopreservation method based on ultrasonic ice planting. In the method, the nucleation temperature of ice planting is less than-9 DEG C, and the cooling rate from nucleation to icing is less than 5 DEG C / min. Compared with the prior art, the method has the advantages that the time required for cryopreservation of the cells is remarkably shortened, meanwhile, damage to the cells caused by ice crystals generated in the cooling process is reduced, and the problem that an existing cell cryopreservation cooling method cannot meet the nucleation and freezing uniformity of a cell solution in the cooling process is solved.

According to the disclosure, there is provided seed and plants of the corn variety designated CV963205. The disclosure thus relates to the plants, seeds, and tissue cultures of the variety CV963205, and to methods for producing a corn plant produced by crossing a corn plant of variety CV963205 with itself or with another corn plant, such as a plant of another variety. The disclosure further relates to corn seeds and plants produced by crossing plants of variety CV963205 with plants of another variety, such as another inbred line. The disclosure further relates to the inbred and hybrid genetic complements of plants of variety CV963205.

According to the disclosure, there is provided seed and plants of the corn variety designated CV964538. The disclosure thus relates to the plants, seeds, and tissue cultures of the variety CV964538, and to methods for producing a corn plant produced by crossing a corn plant of variety CV964538 with itself or with another corn plant, such as a plant of another variety. The disclosure further relates to corn seeds and plants produced by crossing plants of variety CV964538 with plants of another variety, such as another inbred line. The disclosure further relates to the inbred and hybrid genetic complements of plants of variety CV964538.

The invention relates to the technical field of soil conditioners, and particularly discloses an intelligent controlled-release core-shell alginate soil conditioner and a preparation method thereof.The conditioner is of a core-shell-layer three-layer structure and comprises a core layer, a middle shell layer and an outer layer, the three layers account for 30%, 40% and 30% of the total weight respectively, and the core layer mainly comprises improved alginate and nutrients; the middle shell layer mainly comprises chitosan and a microbial preparation; and the outer layer mainly comprises modified charcoal and magnetic nano # imgabs0 #. The preparation method comprises the four steps of core layer preparation, middle shell layer coating, outer layer coating and forming post-treatment, and multiple functions of accurate nutrient supply, efficient heavy metal fixation and soil microenvironment regulation and control are achieved through a core-shell-layer three-layer structure design and a pH / temperature / microorganism triple response mechanism by adopting a coaxial electronic injection and layer-by-layer self-assembly technology; the fertilizer has a remarkable improvement effect on sandy soil and saline-alkali soil, and the organic matter increasing rate reaches 40%.

According to the disclosure, there is provided seed and plants of the corn variety designated CV964750. The disclosure thus relates to the plants, seeds, and tissue cultures of the variety CV964750, and to methods for producing a corn plant produced by crossing a corn plant of variety CV964750 with itself or with another corn plant, such as a plant of another variety. The disclosure further relates to corn seeds and plants produced by crossing plants of variety CV964750 with plants of another variety, such as another inbred line. The disclosure further relates to the inbred and hybrid genetic complements of plants of variety CV964750.

The invention relates to the technical field of remote sensing monitoring, solves the technical problems that an existing soil salinity inversion method is insufficient in precision and poor in generalization ability, and particularly relates to a bare soil salinity inversion method fusing partial least squares and a random forest. Comprising the following steps: acquiring spectral reflectivity data and salinity spectral index of a multiband range and spatial resolution, and preprocessing to establish a digital orthoimage; removing a water body and a vegetation coverage area in the digital orthoimage by using a normalized vegetation index to obtain bare soil data containing 24-dimensional feature variables; establishing a fusion model and carrying out training evaluation; and performing prediction by taking Sentinel-2 satellite remote sensing data as input of the fusion model to obtain the salt content of the bare soil. According to the method, the precision, reliability and generalization ability of soil salinity inversion can be effectively improved, compared with a traditional single model, the nonlinear relation and noise in remote sensing data can be better processed, and the generalization ability of salinity inversion is remarkably improved.

The invention belongs to the technical field of organic matter preparation, and discloses an amide-containing isoxazoline derivative as well as a preparation method and application thereof. According to the invention, chemical modification and molecular design are carried out on the compound with an isoxazoline structure, and a substituent group is introduced to N of an amide group, so that a series of efficient compounds which can be used for killing insects or mites in agriculture or forestry and have excellent activity are obtained, and particularly, the compounds have very good biological activity on lepidoptera, hemiptera and other pests. When being used at an extremely low concentration, the compound disclosed by the invention also shows an excellent control effect on various pests or pest mites, has insecticidal or acaricidal activity in each stage (such as eggs, larvae (nymphs), pupae and adults) of the life cycle of the pests or pest mites, and has an excellent control effect on the pests or pest mites which have drug resistance to traditional insecticides or acaricides. And the composition also shows excellent control activity.

Disclosed herein is a novel electric insect zapper design incorporating a UV light source and a specialized fruit flies bait tray. This combination effectively attracts and eliminates a high percentage of fruit flies, offering a more efficient solution compared to traditional bug zappers. The bait tray, placed close to the UV light, uses diced fermenting fruits to specifically target fruit flies, leading to rapid and effective control of these pests in household environments.

The invention discloses a vegetable planting robot which is characterized in that a rack of the vegetable planting robot can be horizontally and movably arranged on a fixing frame through a horizontal debugging mechanism, and operation components on the rack comprise a punching mechanism, a seeding mechanism and a soil shifting mechanism which are sequentially arranged from front to back; the punching mechanism and the sowing mechanism perform equidistant punching and sowing on field ridges, and the soil shifting mechanism performs continuous soil shifting; before the planting robot is used, the rack is adjusted to different horizontal positions through the horizontal debugging mechanism according to the width of a field ridge and the number of rows of vegetables to be planted on the width, and then one row of holes, seeds and soil are punched, sown and shifted on the positions of different widths of the field ridge. The debugging structure is designed corresponding to the planting scene of the field ridge structure, the planting efficiency is improved, and the burden of manual operation is reduced.