43 results about "Soil classification" patented technology

The invention belongs to the technical filed of agriculture, particularly relates to a sampling device for soil detection based on agriculture. The method aims at solving problems that soil sampling need manpower to perform; sampling operations of multiple soil layers cannot be performed at the same time, which causes cumbersome sampling; the instability of a device during the sampling causes thesoil to sprinkle, so that it is impossible to sample more soil at one time; and the sampling cannot penetrate into the soil layer when the soil is hard. The invention proposes the following scheme. The sampling device comprises a supporting base. A supporting seat is provided at each corner of the outer walls of the bottom of the supporting base, wherein the number of the supporting seat is four.A supporting disk is provided at the bottom outer wall of each supporting seat. The bottom outer wall of each supporting disk is provided with a rubber pad. One end of the bottom outer wall of the supporting base is provided with a first U-shaped frame. The sampling device for the soil detection based on agriculture ensures the stability of the device during the sampling, prevents soil from sprinkling during the sampling, can simultaneously perform sampling operations on different soil layers, and facilitates convenient and rapid soil classification and storage.

The invention relates to an apparatus for preventing clogging of screen holes of a soil sorting machine. The soil sorting machine is provided with drum screens with the screen holes and a driving source suitable for rotating the drum screens. Soil is precisely classified through the screen holes. The apparatus comprises at least one or multiple impacting induced protruding parts which protrude from outer peripheral surfaces of ends not provided with the screen holes of the drum screens or the outer peripheral surface at two ends of each drum screen, impacting rollers and scrapers. The impacting rollers are suitable for elastic movement so that the impacting rollers are capable of climbing over the impacting induced protruding parts while being in rolling contact with the outer peripheral surface at two ends of each drum screen. The scrapers are suitable for carrying out operation in cooperation with each impacting roller so that the screen holes of the drum screen are impacted and soil is scrapped via the screen holes.

A foot-type robot terrain perception method based on a virtual sensor belongs to the field of robot perception, and comprises the following steps: S1, establishing a ground contact detection neural network model and a soil classification machine learning model; S2, under the conditions of different terrains and different gaits, collecting the angle of a leg joint, the angular speed of the leg joint, the motor current and the contact force data of the leg and the ground of the foot-type robot as samples; S3, training a ground contact detection neural network model and a soil classification machine learning model by using the samples collected in the S2; and S4, taking the ground contact detection neural network model and the soil classification machine learning model trained in the S3 as aterrain perception system of the foot-type robot for terrain perception. According to the method, the walking stability and the movement capacity of the robot can be improved, and meanwhile the robustness of the robot and the reliability of behaviors of the robot are enhanced; in addition, hardware of the robot is simplified, and the design, machining and maintenance cost is reduced.

The present invention includes a method for determining a soil classification comprising: obtaining a soil sample; conducting two or more of the following tests in the field, wherein the tests are selected from wash test, a feel test, a test tube particle graduation, or a jar test, to obtain raw data for each test; and calculating the soil classification from the raw data obtained in the field by applying a previously obtained validation dataset obtained from a training and validation soil classification calculation using known samples. The invention also includes compressed earth blocks made using the present invention.

The invention relates to the technical field of data processing systems or methods, in particular to a southern soil sample point data cleaning system and method, and the system comprises: a data judgment subsystem which is used for comparing sample data with standard data and marking the sample data as wrong soil classification data when the sample data does not accord with the standard data; anda data cleaning subsystem which is used for correcting wrong soil classification data according to the standard data.The data judgment subsystem which is further used for comparing the sample data with a standard threshold value and marking the sample data as error data when the sample data exceeds the standard threshold value, marking the sample data as abnormal data when the sample data does not exceed the standard threshold value and exceeds the expected threshold value. The data cleaning subsystem is also used for acquiring associated data and correcting error data and / or abnormal data. By adopting the scheme, sampling data can be cleaned, and wrong soil classification data, abnormal data and wrong data can be corrected.

The invention discloses a movable sorting apparatus for radioactive soil. The movable sorting apparatus is characterized by comprising a drying and screening device, an online detecting device, a cleaning and drying device, a separator plate mechanism, a soil sorting device and a packaging device. The drying and screening device is used for drying soil and separating stone from soil. The on-line detecting device detects the radioactivity degree of soil and sends a command signal to the separator plate mechanism and the soil sorting device. The separator plate mechanism separates soil with different radioactivity degrees through four different separator plates. The soil sorting device uses four different funnels and corresponding containers for collecting and buffering soil, and then the containers full of soil are pushed onto a conveyor belt by rack push rods, then transported to the packaging device by the conveyor belt for packaging work and finally transported out by the conveyor belt. The movable sorting apparatus of the invention sorts soil according to the radioactivity degree of contaminated soil, and performs targeted treatment on soil with different radioactivity degrees,so treatment efficiency is greatly improved and treatment cost is effectively reduced. At the same time, the apparatus can be disassembled and assembled, and can be fixedly connected with a containerthrough the rack and then be transported to a desired place via the container, is applicable to emergency treatment of radioactive pollutants, and has the advantages of flexibility, convenience and great economic value and strategic significance.

The invention relates to the technical field of soil quality detection. The invention further discloses a foundation soil quality classified detection sampling device before building engineering construction. The foundation soil texture classified detection sampling device comprises a sampler, wherein the interior of the sampler is movably connected with a fixed rod; the top part of the fixed rodis fixedly connected with a rotating wrench; fixed teeth are fixedly arranged in the sampler; a dragging handle is fixedly connected to the right side of the sampler; an air pressure chamber is movably connected to the lower portion of the fixed teeth; a sampling shovel is connected to the end, away from the rotating wrench, of the fixed rod in a specified mode; and a sample discharging plate is movably connected to the interior of the sampling shovel. When a movable sliding block moves to the outermost end of a movable rail, the movable sliding block is clamped into a clamping groove at the tail end of the movable rail, and supporting feet support the sampler due to the gravity action of the sampler, so that the sampler can be fixedly arranged in the sampling process, the sampler cannot be damaged in the sampling process and the waste of resources is reduced.

The invention relates to the technical field of plant cultivation, in particular to a plantation method of gastrodia elata. The method comprises following steps: selecting saw dust, utilizing aqueous solutions of potassium permanganate and copper sulfate to prepare a mixed solution at the normal temperature, soaking saw dust into the mixed solution, taking out saw dust, stirring soil and soaked saw dust to properly stirred, placing halimasch branch lindens into the stirred basic categories of soil classification, padding branches under halimasch branch lindens, planting gastrodia elata tubers or seeds to the basic categories of soil classification, filling soil containing sawdust, watering once for every 3 to 5 days after plantation, spraying compound fertilizers of 10g / m2 every 1 to 2 months, harvesting after 6-8 months of spring transplanting and harvesting after 9-11 months of winter transplanting, packaging and adding preservatives for fresh storage.

The invention discloses a rapid soil classification method based on visible near infrared spectrum and multi-target fusion. The method comprises the following steps: firstly, rapidly acquiring spectral data of air-dried and ground soil samples in different soil horizons of the soil profile by a visible near infrared spectrometer, and dividing a data set into a modeling set and an independent verification set after smooth denoising; next, establishing a binary-class support vector machine model based on radial basis function for correlation between soil system classification results of the soilprofile and spectra of the soil profile in the modeling set; then, predicting an independent verification set by the binary-class support vector machine model, extracting votes of all soil type binary-class combinations in each horizon from the binary-class support vector machine model, and summing up the total votes of all the horizons in the same profile; finally, taking the soil type with thehighest total vote as the predicted soil type of the soil profile. The soil type of the profile can be predicted quickly and accurately, and a new idea is provided for large-scale and high-precision soil mapping and land resource investigation.