11 results about "Test plot" patented technology

The present application relates to a kind of engineering construction and synchronous planting and breeding operation method of rice shrimp co-production process test plot, steps are as follows: (one) test plot construction;(1-1) test plot main construction;(1-2) soil backfilling;(two) water grass planting plot construction;(2-1) water grass planting plot main construction;(2-2) soil backfilling;(three) test plot, water grass planting plot synchronous planting and breeding operation;(3-1) water grass transplanting;(3-2) filamentous alga control;(3) planting or breeding parameter, the research test management process of effect;Through the application, a kind of construction idea of stable structure, controllable inlet and outlet of test plot is first proposed, the water environment steady-state regulation technology mainly for submerged plant growth management is innovated, and the rice shrimp co-production process operation management method that can realize "planting and breeding simultaneously" is innovated, and the efficient development of rice shrimp co-production process related scientific research test is comprehensively guaranteed.

The present application relates to a kind of unmanned aerial vehicle image radiation consistency correction method under varying illumination conditions, comprising: obtaining the orthographic image of target farmland area;Orthographic image of target farmland area is positioned and corrected in space, and the spatial position of each farmland plot or test plot in orthographic image in target farmland area is obtained;According to the spatial position of each farmland plot or test plot in orthographic image, orthographic image is cut, and the radiation information affected by illumination change in cut image is corrected in radiation consistency;Based on the image data after radiation consistency correction, crop growth monitoring, farmland condition evaluation, variety comparison analysis or yield prediction are carried out.The present application can be widely applied to the field of remote sensing image processing and spectral correction.

The application discloses a salt and alkali grassland grass seed adaptability screening method and system based on multispectral remote sensing, and particularly relates to the technical field of agricultural resource informatization management and evaluation, and is used for solving the problems that the existing salt and alkali grassland grass seed screening method is dependent on manual work, is inefficient, and the evaluation result is greatly affected by local environment variation of a test site; a germplasm database is established and a test plot is arranged; multispectral remote sensing images of the test area are acquired; mixed pixel decomposition is performed on the images to obtain the abundance proportion of different grass seeds in each pixel and pure end-member spectral information of the different grass seeds; an inversion model is established based on the end-member spectral information and ground measured biomass data; a biomass spatial distribution map is generated in combination with the abundance proportion and the inversion model, and grass seeds are adaptability screened according to the biomass spatial distribution map; large-area data are rapidly acquired through remote sensing means, and mixed pixel decomposition technology is used to strip off environmental interference, so that efficient, objective and accurate evaluation on adaptability of multiple grass seeds is realized.

The application discloses a kind of field scale water salt migration drive carbonate migration time relationship monitoring and control method, comprising: based on different irrigation system setting field test processing, using profile water temperature salt monitoring system arranged in each test plot automatically continuous acquisition high-frequency data;Based on different irrigation mode stage acquisition low-frequency data;Using analytical detection technology to process low-frequency data, obtain low-frequency carbonate index data;Based on low-frequency data and high-frequency data, establish deviation function and carry out regression correction to high-frequency parameter to obtain calibrated high-frequency data;Calibrated high-frequency data and low-frequency carbonate index data are processed, to obtain synchronized water salt parameter sequence and carbonate index sequence;Using time lag regression modeling method to process synchronized water salt parameter sequence and carbonate index sequence, to obtain prediction model;Based on prediction model, identify key water salt driving factor and corresponding lag time, and generate irrigation control decision.

The invention relates to a breeding test plot automatic scribing navigation control method and system. The method comprises the following steps: S1, establishing a plane coordinate model of a test plot; s2, dividing a test cell based on the plane coordinate model and preset division parameters, and generating a theoretical lineation path section of the test cell; s3, generating a navigation task list of the automatic lineation vehicle based on the sorted theoretical lineation path segments, and performing path navigation on the automatic lineation vehicle based on the navigation task list; and S4, in the automatic driving process of the vehicle, performing path tracking control on the automatic lineation vehicle by adopting a Stanley tracking algorithm. According to the method, a complete closed-loop process from test area key point coordinate acquisition, cell parameter setting and path planning to unmanned vehicle navigation execution and powder scattering lineation completion is realized, the lineation efficiency and lineation precision of the breeding cell are remarkably improved, and the labor cost is reduced.

The invention relates to an unmanned aerial vehicle image radiation consistency correction method under a variable illumination condition. The method comprises the following steps: acquiring an orthoimage of a target farmland area; spatial positioning correction is carried out on the orthoimage of the target farmland area, and the spatial position of each farmland parcel or test plot in the target farmland area in the orthoimage is acquired; performing orthoimage clipping according to the spatial position of each farmland parcel or test plot in the orthoimage, and performing radiation consistency correction on radiation information influenced by illumination change in the clipped image; and carrying out crop growth monitoring, agricultural condition evaluation, variety comparative analysis or yield prediction based on the image data after radiation consistency correction. The method can be widely applied to the field of remote sensing image processing and spectrum correction.

The invention discloses a saline-alkali grassland grass seed adaptability screening method and system based on multispectral remote sensing, particularly relates to the technical field of agricultural resource informatization management and evaluation, and is used for solving the problems that an existing saline-alkali grassland grass seed screening method depends on manpower and is low in efficiency, and an evaluation result is greatly influenced by local environment variation of a test site. The method comprises the steps of establishing a germplasm database and arranging test cells; acquiring a multispectral remote sensing image of the test area; performing mixed pixel decomposition on the image to obtain abundance proportions of different grass seeds in each pixel and pure end member spectral information of the different grass seeds; establishing an inversion model based on the end member spectrum and ground actually measured biomass data; generating a biomass space distribution diagram by combining the abundance proportion and the inversion model, and adaptively screening the grass seeds according to the biomass space distribution diagram; large-area data are quickly obtained through a remote sensing means, environmental interference is stripped by using a mixed pixel decomposition technology, and efficient, objective and accurate evaluation on adaptability of various grass seeds is realized.

The invention discloses a waxy corn chlorophyll inversion method after laser pretreatment based on unmanned aerial vehicle multispectral remote sensing. The method comprises the following steps: waxy corn seeds are divided into six groups and are subjected to pretreatment irradiation by adopting different laser parameters respectively; in the growth process of the waxy corn, acquiring a multispectral image of each processed land parcel by using an unmanned aerial vehicle carrying a six-waveband multispectral sensor; radiation correction and orthographic processing are carried out on the multispectral image, and texture features corresponding to six wavebands are extracted; synchronously adopting a chlorophyll meter to carry out SPAD measurement on the quadrat of each processed land parcel, and establishing a regression inversion model between the remote sensing texture features and a ground SPAD; in the prediction stage, the texture features obtained through calculation of the multispectral image of the land parcel to be detected are substituted into the model, and the inversion result of the waxy corn SPAD is obtained. Compared with the prior art, the method has the advantages that the inversion model is constructed by using the multispectral texture features, rapid and non-contact estimation of the chlorophyll value of the waxy corn can be realized under different laser pretreatment conditions, and the monitoring efficiency and consistency are improved.

The application relates to a rice leaf angle extraction method and device based on a rice side view image, equipment and a medium. The method comprises the following steps: embedding two series RiceFeatureEnhancer modules in the middle region connected between the P3 level and the P4 level of a PANet feature pyramid of a neck network of a first rice key point detection model to construct a second rice key point detection model; inputting a to-be-detected rice side view image into the trained and converged second rice key point detection model to determine a stem bottom point, a stem top point and a leaf tip point of target rice; calculating and determining a stem direction vector and a leaf direction vector, and calculating and determining a rice leaf angle according to the stem direction vector and the leaf direction vector; determining a rice leaf angle grade of a target test plot according to the rice leaf angle, so as to determine a target fertilization suggestion corresponding to the rice leaf angle grade, and to complete the rice leaf angle extraction of the target rice. The application greatly improves the positioning robustness of key positions such as the stem bottom point.

The utility model discloses an auxiliary tool for bamboo reed field test plot standard plant spacing planting, which comprises a split type fixed scale and an auxiliary tape, the fixed scale comprises a vertical insertion rod, a first tape box, a second tape box and a movable fixing clamp, the first tape box is sleeved on the middle lower part of the vertical insertion rod, the second tape box is sleeved on the middle lower part of the vertical insertion rod, and the auxiliary tape is sleeved on the middle lower part of the vertical insertion rod. A first tape measure is arranged in the first tape measure box in a rolling manner; the second tape box is movably arranged on the vertical insertion rod through the movable fixing clamp, and the second tape box can rotate in the circumferential direction with the vertical insertion rod as the axis; a second tape measure is arranged in the second tape measure box in a rolling manner; and the auxiliary tape is fixed on the unfolded first tape through a mark fixing piece. In the using process, the test plot does not need to be fixed by repeatedly determining the side length of the test plot, time and labor are saved, meanwhile, the planting row spacing is more standard, errors possibly caused in the manual planting process are eliminated, the overall structure is simple and reliable, and cost is low.

A system for artificially simulating continuous rill erosion development based on a field runoff plot comprises: a combined type ridge system which is enclosed by a plurality of ridge branching units to form a test plot with a closed periphery and is internally provided with a rill flow channel through a separator plate; the artificial rainfall simulation system comprises a water storage tank, a flow-adjustable water pump, a combined pipeline and a diversion pipeline, the water and soil post-treatment system comprises a collecting pipe, a collecting barrel and a sediment monitor, the collecting pipe is communicated with the front end of the interior of the combined type enclosure ridge system, and the front end of the collecting pipe is connected with the collecting barrel and the sediment monitor; the pipeline erecting platform is arranged above the combined type surrounding ridge system; and the infrared distance meter is fixedly mounted at the bottom of the pipeline erecting table through a linear moving module. According to the system, the rainfall intensity and duration can be accurately controlled, the dependence on uncontrollable natural rainfall is avoided, the data acquisition efficiency is greatly improved, the test period is remarkably shortened, and the repeatability and comparability of test conditions are ensured.