89 results about "Field crop" patented technology

The invention discloses a field crop full-period planting management system and method based on digital twinning. Comprising a multi-source sensing and data acquisition module, a crop-environment digital twinborn modeling module, a full-cycle growth state evaluation module, an intelligent planting decision generation module, a precise execution and process control module, a dynamic growth prediction module and a twinborn model iteration and optimization module. According to the method, a space-time alignment algorithm and a mapping precision function are introduced, dynamic association of physical and virtual environments is constructed, it is ensured that a virtual model can accurately reflect the real state of crops and the environment, and a reliable basis is provided for management decision making; a management scheme adaptive to a growth period is deduced and generated based on twinborn simulation, advanced intervention is realized in combination with dynamic prediction, decision logic is continuously optimized through a model iteration mechanism, and scientificity and adaptability of decision are improved.

The invention relates to the technical field of fertilizers, in particular to an environment-friendly water-soluble fertilizer containing a seaweed extract and polyglutamic acid. The water-soluble fertilizer is prepared by preparing seaweed oligosaccharide and double-grafted poly-L-gamma-sodium glutamate and compounding and complexing the seaweed oligosaccharide and the double-grafted poly-L-gamma-sodium glutamate, has the characteristics of low salting-out, high stability, no precipitation, good slow release performance and the like, and can continuously release nutrients and keep a solution clear and transparent under a low-salt condition; and because the polyglutamic acid and seaweed extract compound drip irrigation agent has the chelation and water retention characteristics of the polyglutamic acid and the natural growth promoting effect of the seaweed extract, the crop rhizosphere nutrient absorption efficiency and stress resistance are remarkably improved, the compound drip irrigation agent is suitable for drip irrigation and water and fertilizer integrated application of greenhouse vegetables, fruit trees and field crops, and the comprehensive effects of high efficiency, low salt load and environment friendliness are achieved.

The invention provides a trichoderma maple fungicide, a microbial granular fertilizer as well as a preparation method and application of the trichoderma maple fungicide and the microbial granular fertilizer, and relates to the field of microorganisms. The acer rubrum fungicide contains acer rubrum RA with the preservation number of CGMCC No.35889. The acer rubrum fungicide has the capability of decomposing inorganic phosphorus, is wide in phosphorus dissolving range, can decompose tricalcium phosphate, ferric phosphate and aluminum phosphate, and particularly still has the very strong capability of decomposing the inorganic phosphorus under the low-temperature condition; the strain has the capability of producing siderophore and IAA at low temperature; the strain has an inhibition effect on various pathogenic bacteria causing field crop diseases. The microbial granular fertilizer provided by the invention contains various biostimulant substances, can promote crop growth, improve plant stress resistance and improve plant resistance to plant diseases and insect pests, and field tests prove that the microbial granular fertilizer can significantly promote crop growth and improve crop yield.

The invention provides a moniliella malayi and a fungicide and application thereof, and relates to the field of microorganisms. The acer rubrum is specifically acer rubrum RA, and the preservation number of the acer rubrum RA is CGMCC (China General Microbiological Culture Collection Center) No.35889. The acer rubrum RA can be used for preparing the acer rubrum. The strain has the capability of decomposing inorganic phosphorus, is wide in phosphorus-dissolving range, can decompose tricalcium phosphate, iron phosphate and aluminum phosphate, and particularly still has very strong capability of decomposing inorganic phosphorus under a low-temperature condition; the strain has the capability of producing siderophore and IAA at low temperature; the strain has an inhibition effect on various pathogenic bacteria causing field crop diseases, and can inhibit diseases such as corn root rot, sorghum leaf spot or wheat root rot; the strain can be colonized in a soil environment of 5-40 DEG C, a microbial inoculum prepared from the strain can promote crop growth, the crop yield is remarkably improved, and high yield can be achieved even if the usage amount of phosphate fertilizer is reduced.

The invention belongs to the technical field of pesticide compositions, and particularly provides a weeding composition containing topramezone or salt thereof, which comprises topramezone or salt thereof, agriculturally acceptable auxiliaries and biostimulant, the biostimulant is complex enzyme glycoside. The topramezone composition does not cause phytotoxicity to crops such as corn when used under the high-temperature condition, the use environment of topramezone is widened, and the topramezone composition can be used as a safe herbicide composition for field crops such as corn under the high-temperature condition in summer. Through further screening of auxiliaries, the weeding composition provided by the invention can improve the mixing performance of the preparation, has strong hard water resistance, is beneficial to plant absorption, improves the weeding effect, and is a safe and efficient herbicide preparation.

The present application relates to a kind of high nutrient high activity chemical fertilizer biological compound fertilizer and its preparation and application, belong to agricultural fertilizer technical field.The high nutrient high activity chemical fertilizer biological compound fertilizer of the present application includes inorganic fertilizer and microbial inoculant, the nitrogen phosphorus potassium nutrient content of the chemical fertilizer biological compound fertilizer is greater than 40%, and microbial viable count is above 200 million cfu / g, also includes microbial protective agent, the mass ratio of the microbial protective agent and microbial inoculant is ≥1.The high nutrient high activity chemical fertilizer biological compound fertilizer product of the present application realizes the deep compound of chemical fertilizer and active microorganism, has multiple efficacy of chemical fertilizer and microbial fertilizer, overcomes the neck blocking technical problem that chemical fertilizer and microbial fertilizer are incompatible in production, storage and transportation, use process, significantly improves chemical fertilizer utilization efficiency, reduces fertilizer use cost, solves the problem that microbial fertilizer cannot be generally used in field crops, integrates fertilizer yield and quality improvement, fertile soil and pollution prevention and other functions.

The application discloses a kind of multiscale unmanned aerial vehicle image monitoring crop growth methods and systems, belong to agricultural remote sensing and intelligent monitoring technical field.The method of the present application comprises: controlling unmanned aerial vehicle to collect target area low-resolution remote sensing image at first height;Based on first identification model, crop land boundary is extracted and divided into multiple grids;The health index of each grid is calculated, and the center point of the abnormal grid is located based on the statistical threshold value;Control unmanned aerial vehicle to descend to second height and fly to the top of abnormal grid to carry out leaf scale high-resolution imaging;High-resolution image is input into second identification model, and output fine diagnosis results such as water shortage, lack of fertilizer, disease and pest.The present application realizes the organic combination of large-scale rapid screening and local accurate diagnosis through two-level scale cooperative monitoring, greatly improves the efficiency and accuracy of crop growth monitoring, and is suitable for field crop automation, intelligent growth management.

The invention discloses an intelligent water-saving irrigation control device, and relates to the technical field of irrigation. According to the intelligent water-saving irrigation control device, the servo push rod drives the sprayers to ascend and descend, the spiral guide structure achieves steering and is matched with pitch angle self-adaptive adjustment, large-area circumferential coverage can be achieved through a single device, and compared with traditional sprayers with fixed heights and fixed angles, the deployment number of the sprayers in the field can be reduced; the device greatly reduces the equipment purchase cost and the field installation construction workload, aims at the problems that the water flow drop points of a traditional spray head are concentrated and more in the near and less in the far, enables the water flow drop points to form a reciprocating covering track from the near to the far and from the far to the near through the cooperative operation of lifting, steering and angle switching of the spray head, improves the irrigation uniformity, and improves the irrigation efficiency. The problems of water shortage of crops in areas far away from water flow drop points and saturation and loss of water sources in the areas close to the water flow drop points are effectively solved, water supply balance of field crops is guaranteed, and crop growth consistency is improved.

The invention discloses a variable pesticide application system based on a K-means clustering optimization algorithm and a control method, and relates to the technical field of variable pesticide application, and the variable pesticide application system comprises a rotating cage nozzle, a direct current brushless motor, a brushless water pump, a positioning module, a flow sensor, a core controller, a wireless transmission module and a cloud platform. The control method comprises the steps that farmland geographical position data are collected in real time through a positioning module and uploaded to a cloud platform, the cloud platform conducts clustering analysis on the geographical position data through a K-means clustering algorithm, a farmland is divided into multiple areas, and pesticide applying parameters of all the areas are generated; after the core controller receives the parameters, real-time positioning and flow feedback are combined, the PWM duty ratio is dynamically adjusted through a PID control algorithm, the rotating speed of a motor and the flow of a water pump are controlled, and precise variable pesticide application is achieved. Intelligent zoning and closed-loop control based on data driving are achieved, the pesticide utilization rate is effectively increased, pesticide liquid waste and environmental pollution are reduced, and the system is suitable for large-scale precise pesticide applying operation of field crops.

To provide a reagent and a methyl salicylate sensor for detecting methyl salicylate which is a plant hormone released when a plant is infected with a pathogenic fungus in the cultivation of the plant including a field crop, to provide a method for sensing methyl salicylate using the same, and to provide a method for detecting the pathogenic fungus infection of the plant.SOLUTION: A reagent for detecting methyl salicylate, comprising a terbium compound and an amine. A methyl salicylate sensor includes a methyl salicylate capture part having the reagent, and a detection part for detecting that methyl salicylate is captured by the capture part.SELECTED DRAWING: None

The present application relates to the technical field of field trait detection, and particularly relates to a field trait detection method based on crop breeding, comprising the following steps: determining an environment penalty value according to detected field crop color data and soil data, determining a yield reward value according to detected field crop growth data and nutrient data stored in a crop management platform, and determining a fertilizer utilization value according to detected field soil element data; performing weighted summation to generate a fertilization adjustment reward function, wherein a dynamic coefficient is determined according to crop breeding stage big data fitting of the crop management platform; updating a fertilization amount reinforcement learning model based on the fertilization adjustment reward function at regular time intervals, and determining a breeding multi-element recommended fertilization amount based on the fertilization amount reinforcement learning model by combining a Critic network with an Actor network. The present application realizes collaborative closed-loop detection of stress resistance, yield increase and fertilizer saving and field detection data mining by combining a reinforcement learning model with breeding.

The present application belongs to the field of farmland sprinkling irrigation technology, and particularly relates to a rice field spraying equipment, which comprises a vertical pipe, a water collecting cylinder, a first connecting part and a spraying mechanism. The spraying mechanism comprises a second connecting part, a transverse connecting pipe, a first nozzle and a second nozzle. The transverse connecting pipe is provided with a rotating joint. The vertical pipe is provided with a first rotating cylinder. The transverse connecting pipe is provided with a second rotating cylinder. The first rotating cylinder and the second rotating cylinder are connected with a water inlet branch pipe. The transverse connecting pipe and the second nozzle are provided with a swing assembly. The second connecting part is provided with a rotating assembly. The first connecting part and the second connecting part are provided with a locking assembly. The first nozzle and the second nozzle can comprehensively spray the rice field crops around the vertical pipe. The swing second nozzle can spray a farther range to expand the spraying area. The entering direction of the water flow can be changed to change the spraying mode. Not only normal spraying operation can be performed, but also the temperature and humidity of the upper air around the vertical pipe can be improved.

The invention discloses a crop phenotype in-situ analysis method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a field crop image acquired by a multi-view depth camera carried by an unmanned vehicle, performing semantic segmentation on the crop image to obtain a plant region and a background region, and dividing to obtain a plurality of grids; determining a dynamic response threshold value of the grid by adopting a gradient magnitude histogram mode, screening feature points from the grid according to the dynamic response threshold value, calculating ORB descriptors, and combining to form an ORB feature point set of the crop image; three-dimensional point cloud reconstruction is carried out based on IMU data and the ORB feature point set of the multi-view depth camera, and a global dense three-dimensional point cloud map is generated; identifying the global dense three-dimensional point cloud, removing ground points, reserving a crop vegetation point cloud, and carrying out single plant instance segmentation on the crop vegetation point cloud to obtain a point cloud cluster of a single crop plant; and performing phenotypic parameter calculation on the point cloud cluster of the single crop plant to obtain phenotypic parameters.

1. Name of the product in this design: Machine vision monitoring equipment (crop growth in agricultural fields). 2. Purpose of this design: This design is used for field crop environmental monitoring. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

A method and system for automatically capturing and extracting data from images of agricultural field crops, weeds, and soil within management zones representing soil, water, and topography (SWAT) features of a field wherein the camera system is mounted onto and powered by any vehicle that may pass over agricultural fields. Images and data extracted from the images are automatically uploaded to a processing server for viewing and analysis by farmers and agricultural service providers. The images are analyzed by machine learning processes to document critical weed and crop data by SWAT management zone and entire fields.

The application provides application of a broadleaf paloontia endophytic flavobacterium in promoting plant growth, the flavobacterium strain P1R7GS3 in the application is separated from the roots of healthy broadleaf paloontia and is preserved in the Guangdong Microbial Digital Culture Collection Center with a preservation number of GDMCC No: 66990; has the effects of ammonia production, indole acetic acid production and zinc dissolution and has a biological membrane formation capacity, which has an excellent promoting effect on the growth of plants, in particular, the growth of broadleaf paloontia. The application can significantly promote the growth of stem thickness, leaf number, fresh weight, leaf fresh weight, dry weight and leaf dry weight of broadleaf paloontia plants; meanwhile, the application promotes the synthesis of effective substances such as broadleaf paloontia alcohol and broadleaf paloontia ketone while improving the biomass of broadleaf paloontia; and can be used as a biological fertilizer for promoting the growth of field crops and effectively reducing the use of chemical fertilizers.

The utility model relates to the technical field of pesticide spraying devices, in particular to field crop pesticide spraying equipment. The equipment is mainly composed of a pesticide box, spraying assemblies which are longitudinally and symmetrically connected to the pesticide box in a lifting mode and a base rotationally connected to the bottom of the pesticide box, each spraying assembly is provided with an automatic swing spray head, and one end of each swing spray head is fixedly connected with a turbine arranged in a pipe. The pesticide liquid flows in the pipeline to drive the turbine arranged in the pipeline to rotate and drive the spraying assembly to operate, so that the spraying head can swing periodically, the spraying range is greatly widened, the spraying uniformity is optimized, the innovative design ensures uniform coverage of pesticide liquid spraying, the pesticide receiving uniformity of crops is effectively improved, and the pesticide spraying efficiency is improved. And the waste phenomenon of the pesticide is also obviously reduced. By optimizing the utilization rate of the pesticide liquid and expanding the spraying coverage range, the pesticide spraying operation efficiency and the pesticide applying effect are greatly improved.

The invention discloses a visible light image three-channel identification model-based crop incubation period symptom discrimination method, and aims to provide a method capable of determining and identifying a color channel of crop incubation period symptom features and dividing an incubation period disease course. The method comprises the following steps: extracting color moments of each order of a scab image through continuously shot healthy sample and inoculated sample RGB images; by analyzing the change rate of color moments, taking a color channel which can best reflect the change condition of scab pixels as an optimal identification channel, dividing the course of disease, and combining color space three-channel information to construct a three-channel identification model for identifying the symptoms in the incubation period; and performing fitting comparison on the field crop color moment absolute change rate curve graph and the sample color moment absolute change rate curve graph, and judging the disease course of the field crops.

The invention relates to the technical field of agricultural machinery and soil improvement, in particular to a liquid manure precise application and deep scarification cooperative soil improvement device and method, and the device comprises a sensing module (online NIR, TDR type soil moisture sensors and the like), an execution module (tractor automatic driving, hydraulic depth control and the like), a control module and a communication module; according to the method, through three linkage of manure characteristics-advancing speed, soil moisture content-deep scarification depth-fertilization amount, historical yield-real-time growth vigor and combination of normalized control and dynamic adjustment of operation parameters, according to the liquid manure precise application and deep scarification collaborative soil body improvement device and method, the nutrient deviation of a unit area can be controlled within + / -5%, and the soil quality is improved. The crop yield is increased by 10%-20%, the nutrient utilization rate is increased by 10%-15%, the waste is reduced by more than 25%, the service life of equipment is prolonged by about 20%, and the device is suitable for precise deep application of manure and soil improvement operation of field crops such as corn and wheat.

The application discloses a primer composition for detecting Pythium sylvesterianum based on LAMP technology and application thereof, and belongs to the technical field of microorganism detection; the primer composition is a LAMP primer composition designed according to a specific sequence shown in SEQ ID NO. 1. The application adopts a method for rapidly detecting Pythium sylvesterianum, the pathogenic bacterium of stem base rot of raw ginger, based on loop-mediated isothermal amplification technology, and establishes a perfect detection and field real-time detection system for soil samples, water source samples and diseased plant samples, thereby opening up a new train of thought and method for the measurement and prediction of field crop diseases, winning valuable time for the prevention and control of related diseases, and reducing the loss caused by diseases to a certain extent.

The utility model relates to agricultural planting technical field especially is involved in sowing and drip irrigation integrated device, including functional box and turnover frame, the inside installation of functional box has drive link, the outer wall of drive link is fixed with several groups of turnover frame, and the outer wall of drive link one end of functional box installs drive motor, the utility model discloses realized through adopting the accurate monitoring seed discharge capacity of metering module, ensures that the seed is evenly distributed in the sowing process, avoids the seed too dense or too rare situation, ensures that each crop can obtain sufficient sunlight and nutrient and enough growth space, optimizes crop growth environment, improves crop yield and quality, and through the accurate control seed discharge capacity, can effectively reduce the miss sowing and heavy play of certain area, improved the utilization of seed, guarantees the even distribution of field crop, creates good conditions for subsequent field management and harvest.

The invention provides a plant cold-proof, stress-resistant and anti-freezing method for enhancing plant respiratory conduction efficiency, and relates to the technical field of plant cultivation and stress-resistant protection. According to the method, a composite anti-freezing agent containing auxin, a conduction accelerant, a stress-resistant inducer, an osmotic regulator and a nutritional supplement is prepared and sprayed to the whole plant 24-48 hours before low-temperature freezing injury occurs, the respiration and nutrient conduction efficiency of the plant are enhanced, dry matter is quickly accumulated to reduce the freezing point of cells, and a stress-resistant defense system is started. The core innovation lies in multi-component synergistic adaptation, precise spraying opportunity control and broad-spectrum crop adaptability, and the problems that a traditional method is limited in anti-freezing effect and prone to causing physiological unbalance of plants are solved. Practice verification shows that the method can improve the cold resistance of the plants by 2-5 DEG C and reduce the freezing damage loss rate by more than 60%, is suitable for various plants such as field crops, garden crops and commercial crops, is simple and convenient to operate and controllable in cost, and provides effective technical support for plant cultivation in an extremely low-temperature environment.

The present application relates to the field of crop phenotype information acquisition, and discloses a cluster unmanned aerial vehicle space-time synchronization crop wind resistance phenotype acquisition method and system, the method comprising: controlling the coordinated flight of an aerial acquisition platform module composed of at least one flight acquisition unit; issuing a unified operation instruction containing a future absolute timestamp by a ground control module; the internal clock of each flight acquisition unit is pre-synchronized, and after receiving the instruction, the image capture component of each flight acquisition unit is triggered at the moment when the timestamp is reached, and multi-view, simultaneous image acquisition of the target crop is completed. The system comprises a ground control module, an aerial acquisition platform module and a data post-processing module. Through the high-precision space-time synchronization mechanism, the present application effectively overcomes the influence of environmental disturbance on the three-dimensional reconstruction of non-rigid targets, and can obtain the real three-dimensional shape of crops at a specific moment, providing a reliable data basis for non-destructive and accurate measurement of field crop phenotypes.

The invention relates to the field of crop phenotype multi-dimensional perception, in particular to a field crop phenotype multi-dimensional perception method based on an intelligent robot with a body. The method comprises the following steps: firstly, based on a high-resolution color image obtained by an intelligent robot with a body, obtaining a crop category and confidence through a lightweight full-convolution semantic segmentation network; after field crop categories and all pixel coordinate sets of the field crop categories are obtained on the basis of the crop categories and the confidence coefficients, the intelligent robot with the body shoots a standard high-resolution color image in combination with the crop-hierarchy configuration table; and then, based on the standard high-resolution color image, introducing a scale recursion residual pyramid fusion network, outputting phenotypic parameters, planning to a next crop area according to a path, and repeating the execution steps to form whole-field continuous closed-loop operation. The technical problems that multi-scale information fusion is difficult, long-distance and short-distance image details are seriously lost, the ability of a robot to adapt to the crop height or distance is weak, and phenotypic parameter precision is insufficient to support precision agriculture are solved.

The invention provides a soybean single plant field phenotype continuous time-space dynamic analysis method and system. The problems that in field crop phenotype data extraction, group phenotype evaluation neglects single plant heterogeneity, canopy closure restricts single plant segmentation implementation, and unmanned aerial vehicle phenotype data accuracy defects exist are solved. The method comprises the following steps: carrying out whole-growth-period data acquisition through an unmanned aerial vehicle carrying multiple sensors, and carrying out multi-source space-time registration based on ground mark points; identifying a single plant from the seedling stage image and segmenting to obtain an independent single plant image; visible light, multispectral and laser radar data are fused, and the canopy height, the coverage degree and the normalized vegetation index of a single plant are extracted; and a multi-stage evaluation system is constructed by calculating a variable coefficient of phenotypic parameters of single plants in the group, so that the analysis from the heterogeneity of the single plants to the dynamic quantitative evaluation of the growth uniformity of the group is realized.

A control system is provided for a combine header, which controls a position of a reel relative to a header and to a method for controlling a height of the reel relative to a crop canopy to maintain a targeted, preset reel engagement therewith. With this control system, a reel control system thereof can operate to automatically adjust the reel height relative to the crop canopy as well as the ground during cutting of field crops. The reel control system can automatically adjust the reel height during changes to the canopy height by instantaneously processing the sensor data, which can be averaged over a period of time. A target reel engagement can be preset to bias the reel height relative to higher or lower canopy ranges by a level of aggressiveness (or bias) of the reel engagement target to tune the performance of the reel control for downed crop conditions.

The invention discloses a field crop seedling condition diagnosis method and device based on an unmanned aerial vehicle remote sensing image, belongs to the field of agricultural information technology and crop phenotype detection, and particularly relates to field crop seedling condition diagnosis based on the unmanned aerial vehicle remote sensing image. The problems of low seedling condition diagnosis efficiency, poor accuracy and difficulty in supporting accurate seeding quality evaluation caused by the deficiencies of data acquisition normalization, farmland structure adaptability of a model and analysis dimension comprehensiveness in the prior art are solved. The method comprises a data acquisition step, a plot ridge identification step and a ridge seedling identification step. The field crop seedling condition diagnosis method and device based on the unmanned aerial vehicle remote sensing image are suitable for intelligent agricultural scenes such as automatic growth monitoring and sowing quality evaluation of field crops in the seedling stage and precise field management (such as variable fertilization and precise reseeding).

The invention discloses an outdoor crop water and fertilizer integrated intelligent management and control method, device and equipment and a medium, and relates to the technical field of intelligent agriculture. According to the method, the soil water content, the effective radiation cumulant and the fertigation time interval of a controlled area are obtained, and when the soil water content reaches the lower limit of the soil water content, fertigation is conducted on the controlled area according to the first fertilization concentration until the irrigation amount is reached; when the effective radiation cumulant reaches the solar radiation cumulant threshold value and / or the fertigation time interval reaches the longest fertigation interval, fertigation is conducted on the controlled area according to the second fertilization concentration until the irrigation amount is reached. According to the invention, a composite trigger mechanism of three factors of soil moisture, solar radiation and time is combined, accurate control of outdoor water and fertilizer integration is carried out, and intelligent irrigation and fertilization with accurate opportunity, reasonable proportion and rapid response can be realized under the condition of remarkable natural environment fluctuation.

The invention relates to the technical field of energy-saving irrigation, in particular to an automatic sprinkling irrigation control device and method for field crops, and the automatic sprinkling irrigation control device for the field crops comprises a micro-spraying pipe, a righting assembly and a traction mechanism; water outlet holes are formed in the micro-spraying pipe and distributed in the upper surface of the micro-spraying pipe, the length direction of the micro-spraying pipe is defined as the front-back direction, the horizontal direction, perpendicular to the length direction, of the micro-spraying pipe is defined as the left-right direction, sliding rails are arranged on the left side and the right side of the micro-spraying pipe respectively, and the sliding rails extend in the front-back direction; the righting assembly comprises a sliding ring, the sliding ring is coaxially and slidably arranged on the micro-spraying pipe in a sleeving mode, and the traction mechanism can pull the sliding ring to move back and forth in a reciprocating mode along sliding rails on the two sides of the micro-spraying pipe; when the micro-spray pipe turns over around the axis of the micro-spray pipe under the action of external force, the sliding ring straightens the micro-spray pipe by moving back and forth, so that the water outlet hole is kept at an upward position, and the irrigation effect of the micro-spray pipe is ensured.

To provide a soil conditioner capable of efficiently producing compost, gradation fertilizer or fermented feed capable of soundly cultivating plants such as field crops and ornamental plants by applying it to soil or especially mixing it with organic waste, and to provide a soil conditioner capable of efficiently conditioning soil so as to soundly cultivate plants such as field crops and ornamental plants.SOLUTION: A soil improvement agent, which is a mixture of rice bran and skin bran obtained by wash-free rice processing, wherein a content (mg / 100g) of phytic acid in a calculated dried weight (weight of components excluding water) and 0% of water and fat excluding fat exceeds 7133 (mg / 100g) that is a theoretical content of phytic acid in rice bran in which calculated water and fat are 0%.SELECTED DRAWING: None