58 results about "Plant Distributions" patented technology

The invention discloses a material distribution method. The material distribution method includes the following steps that distribution nodes, distribution paths, distribution modes and a packaging rule are set for achieving distribution modeling; information of a BOM structure and a material supplier is acquired, and then basic conditions required for material decomposition are formed; material decomposition is conducted according to distribution modeling information and the preset packaging rule; decomposed material requirements are assembled, in-plant or out-plant distribution bills are acquired, and the materials are distributed through a warehouse or the material supplier. By the adoption of the method, the complexity of an existing distribution system is lowered, the stability and the timeliness of the system are improved, real-time decomposition and real-time distribution (JIT) of the materials are achieved, and the requirements for material pull type distribution in multi-variety, small-batch and mixed flow production in modern discrete manufacturing are met.

The invention discloses a drought early-warning method. The drought early-warning method includes acquiring plant distribution information of crops in an early-warning area; acquiring information of weather forecasting and the like in the early-warning area; calculating actual evapotranspiration of the crops; calculating to acquire relative water content in a planned moist layer in soil according to information of the actual evapotranspiration of the crops and the like; and comparing the relative water content in the planned moist layer in soil and lower limit of a drought threshold value, and judging drought degree of the crops. Therefore, information from multiple types of sources, such as growth condition of the crops, water in soil, weather forecasting information, geographic information in the early-warning area, is considered comprehensively, the drought degree of the crops is judged, and accordingly early warning of drought of the crops is more accurate and reasonable, and unreasonable utilization and waste of water resources are unlikely to cause during irrigation. Finally, related information of the drought degree of the crops and the like is used to generate and display a space distribution map by a geographic information system, and accordingly optimized allocation of the water resources in agriculture and early warning of drought in an area range are achieved.

The invention discloses a breeding method of a rice photo-thermo-sensitive genic male sterile line, belonging to a breeding method of plant seeds. The breeding method comprises the following steps of: (1) selecting an early-ripe indica rice photo-thermo-sensitive genic male sterile line Peiai 64S as a female parent and selecting an early-ripe indica rice photo-thermo-sensitive genic male sterile line Guangzhan 63S as a male parent; hybridizing to obtain F1 seeds; and (2) soaking the F1 seeds, accelerating germination and sowing; carrying out selfing for six generations and selecting a photo-thermo-sensitive genic male sterile line target variety with dense panicle, colorless glume end, short straw and strong lodging resistance. The breeding method provided by the invention has the advantages of moderate plant distribution, short and healthy plants and strong lodging resistance, good out-crossing characteristic, and colorless leaf sheath, glume end and stigma; and according to the breeding method, the purity identification can be easily finished.

The invention relates to application method of space remote sensing big data in tropical agriculture calamity calculation, and specifically relates to the application method that uses space remote sensing big data, considers the geography information system technology, accurately obtains afflicted regions, areas and grades, does not need inspection people to go to each afflicted region, and reduces the investigation works and costs in the tropical agriculture calamity calculation that uses space remote sensing big data. The method comprises the following specific steps: obtaining satellite images or unmanned plane images of the afflicted regions; processing the obtained images, and uploading the data to a space big data system; using a machine learning database in the system to build a calamity extract model; using field data in the system to train the calamity extract model; using the images as basic data to run the calamity extract model, thus extracting calamity data; stacking the data with obtained crop plant distribution maps in the calamity regions, and obtaining the plant afflict conditions of the calamity regions.

The invention discloses a holographic flow management method based on business flow butt joint and state monitoring. By adopting the holographic flow management method provided by the invention, the problems of the flexible butt joint and the synchronization between the heterogeneous systems after the flow version change in the power grid and power plant cooperative scheduling business management system and the real-time operation of various business nodes of the distribution application systems and the monitoring of the control states in the correct flow operation process, and the definition of the management responsibility can be solved. The holographic flow management method is suitable for the power grid and power plant distribution heterogeneous system business flow integrated management, and comprises flow version synchronization management, example state monitoring, and flow operation full-time tracking.

The invention provides a method for extracting features of multi-temporal complete-polarization SAR images and a classification method of plant distribution regions. The method for extracting featuresof multi-temporal complete-polarization SAR images comprises steps of acquiring multi-temporal complete-polarization SAR images in the same region including various kinds of plants; segmenting the multi-temporal complete-polarization SAR images so as to obtain multiple targets; establishing multi-order tensors for each target, wherein the first stage and the second stage in the multi-order tensors represent lines and rows of coherence matrixes or covariance matrixes of the target respectively and the third stage in the multi-order tensors represent different time phases; and by use of a multilinear principal component decomposition algorithm, carrying out dimension reduction on the multi-order tensors of each target so as to obtain feature vectors of each target. According to the invention, by extracting features of the multi-temporal complete-polarization SAR images, difference between plants is improved. A DT classification result represents that even if a training sample is quite small, by use of the provided method, quite high plant identification precision can be acquired.

The invention discloses an agricultural product quality traceability system, and relates to the technical field of agricultural product traceability. The tracing system provided by the invention is composed of a plurality of agricultural product information acquisition modules, a plurality of system monitoring modules, a plurality of database modules and a plurality of information sharing modules.According to the invention, an agricultural product quality safety tracing platform is constructed, process tracing is realized by recording environmental parameters and process information of key links such as production, processing and circulation of agricultural products, and a tracing query window is provided for consumers to achieve product quality tracing and responsibility investigation. Meanwhile, an agricultural product quality safety monitoring platform is constructed, and the agricultural product planting distribution condition and the agricultural product quality safety information are known by accessing the detection information database. When a food safety accident happens, the distribution situation of problem products can be mastered in time, and corresponding measures canbe taken. An agricultural product public information service platform is constructed, trade docking is carried out, electronic transaction is achieved, product transportation is supervised, and logistics resources are scheduled in a unified manner.

The invention provides a picking robot control method and system based on visual identification, and the method comprises the steps: S1, obtaining a planting distribution diagram, and controlling a picking robot to go to a proper picking region based on the planting distribution diagram; s2, when the picking robot arrives at the picking area, the picking robot is controlled to collect an environment depth image of the picking area; s3, planning a proper first fruit picking control strategy based on the environment depth image; and S4, based on the first fruit picking control strategy, controlling the picking robot to pick corresponding fruits. According to the picking robot control method and system based on visual identification, a picking task does not need to be set manually, the labor cost is reduced to a great extent, the picking efficiency is improved, and the picking robot control method and system have higher applicability for a comprehensive orchard.

The invention discloses a corn planting distribution extraction method based on high-resolution satellite data. The method comprises the following steps: collecting the high-resolution satellite data of a target research area, selecting sample points based on the high-resolution satellite data, and obtaining second remote sensing characteristic indexes; constructing a classification characteristic combination based on the second remote sensing characteristic indexes, and performing corn planting pixel extraction on the classification characteristic combination through a random forest algorithm to obtain a second corn planting distribution map; and obtaining the corn planting area of the target research area according to the second corn planting distribution map, and carrying out distribution statistical analysis on the corn planting area. According to the invention, corn planting distribution in a research area can be quickly, efficiently, cheaply and accurately extracted; and on one hand, the defect of low extraction precision of the corn planting distribution caused by low resolution of remote sensing data in an existing extraction method is overcome, and on the other hand, the defect that it is difficult to distinguish corn from other crops in the same growing season in the existing extraction method is overcome.

The invention provides soybean cultivation technology through narrow ridge close planting, which comprises the following five steps of mechanical cultivating, precision planting, mechanical deep fertilizing, mechanical weeding and mechanical harvesting. Compared with traditional 'three ridge cultivation' and other cultivation technologies, the method is small in seeding unit, large in planting density, reasonable in plant distribution, and convenient to carry out field management such as seeding, fertilizing and weeding. The large ridge is changed to be the narrow ridge, the ridging space is reduced to be 45cm from 65cm, and 300,000-350,000 seedlings instead of 220,000-280,000 seedlings are kept per hectare. The mechanical cultivation is carried out in the whole process, the time and the labor are saved, the efficiency is high, and the mechanical cultivating and soil preparing are carried out around the soil environment beneficial to soybean growth; due to rational close planting, the strains of unit area is increased, the green leaf covering area is enlarged, and natural light, heat and air resources are fully utilized; the narrow ridge close planting gives full play to population dominance, so that the effect of increasing both production and income is achieved.

The invention discloses an optimum route planning method based on air quality and belongs to the field of environment government. The optimum route planning method based on air quality comprises the following steps: drawing an X-horizontal and Y-vertical coordinate graph in a measured region through a high-rise building distribution picture, a road construction distribution graph, a plant distribution graph, a residential area distribution graph and an urban altitude graph of an urban region; and then determining quality of intersections M of X-horizontal and Y-vertical coordinates, wherein the PM value testing and evaluating accurate rate is high, and a reasonable scheme is formulate. In addition, the governing effects of regions are monitored in real time by drawing the X-horizontal andY-vertical coordinate graph in the measured region to implement monitoring and drawing a corresponding contour map and drawing a PM trend graph according to the contour map, so that a government scheme is adjusted anytime conveniently, different places are governed in a targeted manner, and the government effect is good.

The invention provides an exotic plant distribution pattern and propagation path early warning analysis system, which comprises a detection device, a sampling device, a sensing device, an early warning device, an adjusting device, an analysis device and a processor, wherein the detection device is configured to detect the distribution of exotic plants; the sampling device is configured to collect the exotic plants; the sensing device is configured to collect the ground condition of the detection position; the early warning device is configured to respond to the data based on the detection device, the sensing device and the sampling device and trigger an early warning signal; the adjusting device is configured to adjust the detection position of the detection device; and the analysis device is configured to collect and analyze data of the detection device, the sensing device and the sampling device. Through cooperative use of the analysis device and the early warning device, the early warning device can trigger the early warning signal based on the data of the analysis device.

The invention relates to the technical field power plant monitoring and particularly relates to a monitoring device for a power plant distribution room. The monitoring device comprises an image sensor, a microprocessor, a memory module, a single chip microcomputer, a light sensing module, an LED driving module, an LED lamp group, a temperature sensor, a fan control module, a heater control module and a power supply module, By means of the microprocessor and single chip microcomputer combined monitoring device, the microprocessor is responsible for video monitoring, the single chip microcomputer is responsible for the detection outside the video monitoring, so that the use of microprocessor resources can be greatly reduced, the image processing capability of the microprocessor can be greatly improved, and the design and welding difficulties of the microprocessor panel are simplified. Through the temperature signal acquired by the temperature sensor, the control of the heater and the fan in the power distribution room is realized, so that the temperature in the power distribution room is always in a certain range, better conditions are provided for the safe running of the power distribution cabinet in the power distribution room, and the smooth running of a power plant is guaranteed.

Provided is a method for planting clonal tea in a high-altitude water-deficient mountainous region. The method comprises the steps of tea garden selection, tea garden building, Yunnan alnus cremastogyne planting, soil improvement, tea tree cultivation, fertilizer and water management, pest and disease control, tea tree trimming and tea harvesting. The method is characterized in planting distribution of Yunnan alnus cremastogyne and tea trees and the planting ratio of the Yunnan alnus cremastogyne to the tea trees. The method is scientific, reasonable, normative and systematic, and the problemis solved that according to the prior art, clonal tea cannot be planted under the current situations of high altitude, water deficiency, high sunlight intensity and high ultraviolet intensity of the plateau mountainous area; the method is high in practicability and is a scientific method for planting the high-quality tea trees in the water-deficient poor mountainous area.

The present invention discloses a high temperature volatile oil extraction tank. The extraction tank comprises a tank body (1), a material rack (2) located in the tank body (1) and multiple layers of volatile material discs (3) on to the rack (2). The upper end of the tank body (1) is provided with a tank sealing cap (4), the lower end of the tank body is provided with a steam inlet (5) and a sewage draining exit (6). The high temperature volatile oil extraction tank provided by the invention can withstand 1.0 MPa, and reach extraction temperature of 180-200 DEG C; in the steam distillation process, the steam and plant distribution is very uniform, so as to reduce the consumption of steam by 30%, increase the oil extraction rate by 200% and significantly improve the oil yield.

The invention provides a plant growth regulator and a preparation method thereof. The plant growth regulator comprises the following raw materials in parts by mass: 90-95 parts of a traditional Chinese medicine extract; 1-2 parts of a coloring agent; 1-2 parts of a synergist; and 0.5-1 part of a stabilizer. The preparation method comprises the following steps: (1) preparing the traditional Chinese medicine extract; and (2) preparing a saturated solution by using the traditional Chinese medicine extract, adding a coloring agent, a synergist and a stabilizer according to the mass ratio of the traditional Chinese medicine extract to the coloring agent to the synergist to the stabilizer in the solution of (90-95):(1-2):(1-2):(0.5-1), and uniformly conducting mixing to obtain the plant growth regulator. According to the method, traditional Chinese medicinal materials are adopted as main components, the lily yield and quality can be effectively improved, the selected traditional Chinese medicinal materials are widely distributed, large-area cultivation and production are easy, the material source is wide, and the cost is low.