46 results about "Blast disease" patented technology

The embodiment of the invention provides a rice blast disease grade intelligent evaluation and disease resistance preliminary screening method, system and equipment, and the method comprises the steps: S1, collecting image data of wild rice leaves infected with rice blast, carrying out the instance segmentation of the image data through an improved YOLOv8-Seg segmentation model, obtaining a segmentation result, and carrying out the segmentation of the image data through an improved YOLOv8-Seg segmentation model; the improvement measures comprise a GhostHierachicalNet backbone network, a CAHSFPN neck network and an LSDES Head segmentation head, and the LSDES Head segmentation head is connected with the CAHSFPN neck network and the LSDES Head segmentation head; s2, according to the segmentation result, counting the number and proportion of pixels of diseased leaves and disease areas, and obtaining a disease grade evaluation result in combination with disease resistance identification technical regulations; and S3, screening wild rice materials with strong disease resistance based on the disease grade evaluation results which are repeated for multiple times. The method can effectively improve the accuracy and efficiency of crop disease evaluation, and provides support for large-scale screening of disease resistance of wild rice, thereby promoting the development of rice blast-resistant breeding work.

The invention belongs to the technical field of agricultural disease monitoring, prevention and control, and particularly relates to a rice blast monitoring and diagnosing method based on a mooring hot-air balloon and an unmanned aerial vehicle system. By constructing a dynamic observation platform of a tethered hot-air balloon and an unmanned aerial vehicle group, multi-variety, multi-temporal and multi-dimensional rice blast diseased plant multi-spectral / hyperspectral data and multi-information such as geography, soil, climate and field management are synchronously obtained, and a spectral database is constructed. An early diagnosis inversion model is constructed based on spectral characteristics of diseased rice plants and data characteristics of an unmanned aerial vehicle and a captive hot-air balloon by using self-supervised learning and deep learning technologies. According to the method, the cooperative advantages of the tethered hot-air balloon and the unmanned aerial vehicle are fully played, comprehensive acquisition and deep fusion of data are realized, the accuracy and timeliness of rice blast monitoring and diagnosis are improved, powerful technical support is provided for healthy development of the rice industry, and agricultural intelligence and sustainable development are assisted.

The invention discloses a rice OsTCP11 gene and application of the rice OsTCP11 gene in rice disease resistance, and the nucleotide sequence of the OsTCP11 gene is as shown in SEQ ID NO.1; the method is realized by knocking out a rice OsTCP11 gene; the knockout is carried out by utilizing a CRISPR / Cas9 gene editing technology; the gene OsTCP11 is knocked out through a CRISPR / Cas9 (clustered regularly interspaced short palindromic repeats / associated protein 9) technology, and a knockout mutant ostcp11 is obtained; it is found through rice blast resistance identification that compared with wild type rice, the mutant ostcp11 is more resistant to diseases and small in disease spot area, the number of pyricularia grisea carried by diseased leaves is small, and it is indicated that OsTCP11 negatively regulates the resistance of rice to rice blast. The bacterial leaf blight resistance identification finds that compared with wild rice, the mutant ostcp11 is more resistant to diseases and shorter in disease spots, which indicates that the OsTCP11 negatively regulates the resistance of the rice to the bacterial leaf blight. The method is beneficial to cultivation of rice blast and bacterial leaf disease resistant rice varieties, and provides a basis for later screening of high-resistance and broad-spectrum-resistance rice varieties.

The invention discloses a rice OsRH3 gene and application thereof in rice disease resistance, the nucleotide sequence of the rice OsRH3 gene is as shown in SEQ ID NO.1, and the nucleotide sequence of the rice OsRH3 gene is as shown in SEQ ID NO.2. The gene OsRH3 is knocked out through a CRISPR / Cas9 technology, and a knockout mutant osrh3 is obtained; it is found through rice blast resistance identification that compared with wild type rice, the mutant osrh3 is more resistant to diseases and small in disease spot area, the number of pyricularia grisea carried by diseased leaves is small, and it is indicated that the OsRH3 negatively regulates the resistance of rice to rice blast. The bacterial leaf blight resistance identification finds that compared with wild rice, the mutant osrh3 is more resistant to diseases and shorter in disease spots, which indicates that the OsRH3 negatively regulates the resistance of the rice to the bacterial leaf blight. The method is beneficial to cultivation of rice blast and bacterial leaf disease resistant rice varieties, and provides a basis for later screening of high-resistance and broad-spectrum-resistance rice varieties.

The invention relates to the field of biology, in particular to a primer probe combination for identifying wheat blast, a product and application of the primer probe combination. The invention provides a primer and probe combination for identifying wheat blast. The primer and probe combination comprises an upstream primer with a nucleotide sequence as shown in SEQ ID NO.4, a downstream primer with a nucleotide sequence as shown in SEQ ID NO.5 and a probe with a nucleotide sequence as shown in SEQ ID NO.6. The primer probe combination of the specific marker is designed based on the gene of the pyricularia grisea, and the primer probe combination can accurately distinguish the pyricularia grisea, the gibberella and the pyricularia oryzae. Meanwhile, based on the designed primer probe combination, the pestilence pyricularia, gibberella and magnaporthe oryzae are respectively detected by utilizing an RPA amplification technology and a nucleic acid colloidal gold detection test strip, and the detection method can be used for specifically detecting the pestilence pyricularia.

The present invention relates to the biological field, and in particular to a primer-probe combination, product and application thereof for identifying wheat blast. The present invention provides a primer-probe combination for identifying wheat blast, the primer-probe combination comprising an upstream primer having a nucleotide sequence as shown in SEQ ID NO.4, a downstream primer having a nucleotide sequence as shown in SEQ ID NO.5 and a probe having a nucleotide sequence as shown in SEQ ID NO.6. The present invention designs a specifically labeled primer-probe combination based on the wheat blast fungus gene, and the primer-probe combination can accurately distinguish wheat blast fungus, gibberellosis and rice blast fungus. At the same time, based on the designed primer-probe combination, the present invention uses RPA amplification technology and nucleic acid colloidal gold detection test strips to detect wheat blast fungus, gibberellosis and rice blast fungus respectively, and the detection method can specifically detect wheat blast fungus.

The invention relates to a rice blast forecasting method coupled with multi-source data, and solves the problem of insufficient forecasting precision caused by single data source in the existing method. The method comprises the following steps: constructing a historical long-time-sequence meteorological product database; constructing a historical disease promoting index according to the historical long-time-sequence meteorological product database; a disease promoting index in the next three days is constructed based on weather forecast data; constructing a rice growth monitoring model based on MODIS data, and determining the rice growth level; the method comprises the following steps of: constructing an improved rice blast disease promoting index model, performing normalization processing on a disease promoting index, converting a disease promoting index layer after grid normalization into a vector point location layer by utilizing a GIS layer conversion method, and performing interpolation processing on the vector point location layer by utilizing a Kriging interpolation method; cutting the interpolation processing result according to the rice distribution data of the target area; and outputting an improved rice blast disease promoting index grade thematic map. According to the invention, multi-source data can be coupled to carry out accurate and periodic forecasting on the rice blast.

The invention belongs to the technical field of prevention and treatment of rice blast, and particularly relates to a polypeptide MP1 for inhibiting rice blast bacteria and application thereof. The invention discloses a polypeptide MP1 for inhibiting magnaporthe oryzae. The amino acid sequence of the polypeptide MP1 is as shown in SEQ ID NO. 1. The polypeptide MP1 has an obvious inhibition effect on the magnaporthe oryzae appressorium, and the EC50 formed by the MP1 polypeptide on the appressorium is 134.60 mu M. Experiments show that the polypeptide can effectively interfere the normal differentiation and development of the appressorium in the key pathogenic stage of magnaporthe oryzae, so that the polypeptide has a strong prevention and control potential in the early stage of pathogenic bacterium infection. The polypeptide MP1 provided by the invention can significantly reduce the pathogenicity of magnaporthe oryzae to barley and rice, and provides an experimental basis for developing a novel biopesticide for preventing and treating the magnaporthe oryzae.

The invention relates to a nano-pesticide with photolysis resistance based on enzymatic hydrolysis lignin and a preparation method, and belongs to the technical field of nano-pesticides. The nano-pesticide is a black sphere, the effective particle size is 160-200 nm, the drug loading rate is 35.72%, the nano-pesticide has good photolysis resistance, and the photolysis half-life period is prolonged by 1.56 times compared with that of prothioconazole original drug; the composition is used for rice blast diseases. According to the nano pesticide, enzymatic hydrolysis lignin is used as a carrier, a prothioconazole bactericide is used as a loading drug, and tannic acid and copper ion coatings are used for coating; functional groups such as phenol and ketone in the enzymatic hydrolysis lignin can effectively absorb a large range of ultraviolet rays and reduce ultraviolet radiation, so that the enzymatic hydrolysis lignin has excellent oxidation resistance and ultraviolet resistance; meanwhile, the enzymatic hydrolysis lignin has renewability, environmental protection property and degradability, and the coating of tannic acid and copper ions can further improve the antifungal ability of the nano pesticide, improve the thermal stability of the nano pesticide, increase the release rate of the pesticide and have the ability to reduce the loss of the pesticide.

The present application relates to the field of rice blast prevention, and particularly relates to an application of perphenazine in prevention and treatment of rice blast. At present, perphenazine has not been reported in literatures to be used for prevention and treatment of rice blast. The technical problem to be solved by the present application is to provide an application of perphenazine in prevention and treatment of rice blast. The present application proves the effect of perphenazine in inhibiting rice blast fungus through tests. With the increase of concentration, the vegetative growth of rice blast fungus is obviously inhibited. Under the interference of perphenazine at a certain concentration, the pathogenicity of rice blast fungus is almost completely lost. Therefore, perphenazine can be used as a new antifungal agent for prevention and treatment of rice blast.

The present invention provides a treatment method for preventing and controlling rice blast, and relates to the technical field of rice planting. The treatment method for preventing and controlling rice blast mainly comprises the steps of treating the rice planting area with quicklime and manure, soaking the rice seeds with prochloraz, spraying a mixed agent of Paris polyphylla fermentation extract, ascorbic acid, vitamin K, and salicylic acid at the rice seedling emergence, rupture stage, and full heading stage, etc. The present invention overcomes the shortcomings of the prior art, reduces the use of organic pesticides, ensures the high yield of rice while effectively preventing and controlling rice blast, reduces environmental pollution, and comprehensively improves the planting benefits of rice.

The invention discloses application of a rice blast disease resistance related gene OsCBP606, and belongs to the technical field of plant genetic engineering. The expression quantity of the OsCBP606 is increased after the OsCBP606 is induced by pathogenic bacteria of rice blast in susceptible and disease-resistant materials. After the gene is knocked out, the rice blast resistance can be improved. The OsCBP606 editing site sequence is connected to a gene editing vector pRGEB32S to transform rice, and the result shows that the gene can negatively regulate and control the rice blast resistance. A gene editing carrier constructed by the invention can be applied to rice blast-resistant breeding of rice. According to the invention, the action mechanism of the OsCBP606 can be better understood, the cloning of the OsCBP606 lays a foundation for further understanding of rice-rice blast pathogen interaction and a disease-resistant signal transduction pathway, and the OsCBP606 has a great application value in breeding.

The embodiment of the invention discloses a breeding method of a novel rice blast-resistant hybrid japonica rice combination. According to the method, different rice blast genes are directionally introduced into different parents of the hybrid japonica rice, so that excellent rice blast resistant maintainer line, sterile line and restorer line materials can be obtained, meanwhile, pi2 and pigm are respectively introduced into male and female parents, and the rice blast resistant genes such as pi2 and pigm on the same chromosome can be polymerized into the same hybrid japonica rice variety; the rice blast resistance of the hybrid combination is improved, the adaptability of the new combination is improved, and the breeding method has important significance on the rice blast resistance breeding work of the hybrid japonica rice.

The invention relates to the field of crop breeding, in particular to a rice blast detection and counting method, which adopts the technical scheme that by improving a YOLOv8 detection algorithm and introducing a C2f-Aster module, a BFPN module, a WAdapt-IoU loss function and an LSCSAD detection head, the model performance is optimized, the parameter quantity and the calculation complexity are reduced, the characteristic expression ability to rice blast scabs and diseased leaves is enhanced, and the rice blast detection accuracy is improved. The method is suitable for resource-limited rice blast detection scenes, the detection capability of the model on rice blast disease spots and diseased leaves is improved, the generalization capability of the rice blast detection model is enhanced, the rice blast disease spot boundary detection precision is enhanced, the positioning precision of the disease spots and the diseased leaves is improved, and efficient and accurate rice blast detection and counting are achieved. And the accuracy and efficiency of rice blast disease detection and counting are improved.

The embodiment of the present application provides a method, system and equipment for intelligent assessment of rice blast disease grade and initial screening of disease resistance, the method comprising: S1: collecting image data of wild rice leaves infected with rice blast, performing instance segmentation on the image data by improving the YOLOv8‑Seg segmentation model, and obtaining segmentation results, wherein the improvement measures include: GhostHierarchicalNet backbone network, CAHSFPN neck network and LSDECS Head segmentation head; S2: based on the segmentation results, counting the number of pixels and their proportion of diseased leaves and diseased areas, and combining the disease resistance identification technical regulations to obtain disease grade assessment results; S3: based on the disease grade assessment results repeated multiple times, screening wild rice materials with strong disease resistance. This method can effectively improve the accuracy and efficiency of crop disease assessment, provide support for large-scale wild rice disease resistance screening, and thus promote the development of rice blast resistance breeding.

The present invention relates to fungicidal combinations and compositions comprising said combinations for controlling phytopathogenic fungi causing rice blast diseases. The present invention also relates to a method for controlling or preventing Magnaporthe grisea causing rice blast diseases.

The invention relates to the technical field of soil improvement and crop disease prevention and control. The invention provides a zinc-silicon synergistic soil conditioner and a preparation method and application thereof.The zinc-silicon synergistic soil conditioner is prepared from, by mass, 5-8 parts of citric acid chelated zinc, 5-8 parts of citric acid chelated zinc, 5-8 parts of citric acid chelated zinc, 5-8 parts of citric acid chelated zinc, 5-8 parts of citric acid chelated zinc, 5- 25 to 40 parts of potassium silicate; 30 to 45 parts of humic acid; 5 to 10 parts of soluble starch; and the balance of deionized water. According to the zinc-silicon synergistic soil conditioner, the pH and the alkalization degree of soda saline-alkali soil are reduced through humic acid, and the rhizosphere microenvironment is improved; the citric acid chelated zinc provides quick-acting zinc, the potassium silicate continuously releases silicon, and the citric acid chelated zinc and the potassium silicate keep high bioavailability under the protection of humic acid; the soluble starch regulates nutrient release and prevents precipitation and inactivation. Field application shows that the morbidity of the rice red blight in the soda saline-alkali soil can be reduced to 5% or below, and synergistic interaction of soil improvement and disease prevention and control is achieved.

The invention relates to a field rice leaf blast detection method, device and equipment and a medium. The method comprises the following steps: acquiring a to-be-detected rice leaf image; a convolution attention module is introduced after a backbone feature extraction layer of a Pyrami d-YOLOv8 model, a bottleneck module in cross-stage partial network bottleneck modules is replaced by a pyramid-bottleneck module, a feature map with higher resolution is introduced into a feature fusion layer, and an additional detection head is constructed, so that the improved Pyrami d-YOLOv8 model is constructed. The construction of a rice leaf blast detection model is completed; carrying out disease detection on the to-be-detected rice leaf image by adopting a rice leaf blast detection model trained to a convergence state so as to determine a disease area and a disease grade of leaf blast in the to-be-detected rice leaf image; and spraying the disease area of the leaf blast disease by adopting the bactericide type and dosage corresponding to the disease grade of the leaf blast disease in the to-be-detected rice. The detection precision of the rice leaf blast can be improved, and the rice leaf blast can be prevented and controlled in time.

This invention discloses a deep learning-based intelligent detection system for rice seedling blast disease, belonging to the field of crop detection technology. It solves the technical problem that early or atypical symptoms of the disease may not be accurately identified in a timely manner, leading to further disease development and greater losses. Based on feature extraction results, the system classifies the disease risk of leaves and panicles, with different control strategies corresponding to different risk levels. The system continuously monitors image data from the growing and harvesting areas, enabling timely detection of subtle changes in leaf and panicle characteristics, effectively reducing yield losses and quality declines caused by the disease. The disease risk classification of leaves and panicles is combined with meteorological data from various management grids and hydrological data from irrigation areas. The system analyzes the risk of external disease conditions and integrates this analysis with the leaf and panicle disease risk classification for comprehensive risk warning.

This invention provides the application of FSD2 in regulating resistance to rice sheath blight and bacterial leaf blight, belonging to the field of gene breeding technology. This invention provides... FSD2 The application of genes and / or encoded proteins in regulating resistance in rice to infectious diseases caused by pathogenic microorganisms, the aforementioned FSD2 Genes are involved in regulating rice resistance to sheath blight and bacterial leaf blight. This invention obtains these genes through genetic transformation. FSD2 Overexpressing plants, compared with wild-type plants, showed that overexpressing plants... FSD2 The gene expression level was significantly higher than that of the wild type; after inoculation with *Rhizoctonia solani* and *Bacterium oxysporum*, the overexpressing plants showed significantly enhanced resistance to *Rhizoctonia solani* and *Bacterium oxysporum*. This invention provides a theoretical basis for elucidating the disease-resistant properties of plants, and can also be applied to the screening and creation of disease-resistant rice materials, laying a germplasm foundation for future variety improvement.

The invention relates to the technical field of scientific use of pesticides, and discloses a pesticide synergistic formula aiming at false smut and neck blast, which comprises a disease pesticide, an organic silicon auxiliary agent, water, an active auxiliary agent and a rice seedling protective agent, the disease pesticide is prepared by mixing two pesticide preparations, wherein the two pesticide preparations are respectively a strobin suspending agent and tricyclazole wettable powder, sodium lauryl sulfate and nekal, and diatomite; the organic silicon auxiliary agent comprises an emulsifier and a solvent; the active auxiliary agent comprises azone, vegetable oil, carboxymethyl cellulose and an antioxidant; the rice seedling protective agent comprises brassinolide, proline, diethyl aminoethyl hexanoate and amino acid. Pathogenic bacteria causing false smut and neck blast diseases are effectively inhibited and killed through the disease pesticide, the occurrence rate and severity of the diseases are remarkably reduced, the stability of the pesticide in the storage and use process is guaranteed through the antioxidant in the active auxiliary agent and other stabilizers in the formula, and the shelf life and the effective use period of the pesticide are prolonged.

The present invention relates to plant disease monitoring technology, and discloses a method, device, equipment and storage medium for predicting the occurrence of rice blast disease based on temporal hyperspectral features. The method includes: intercepting the collected hyperspectral data set by using effective feature bands to obtain an effective hyperspectral data set; performing multi-scale feature extraction and splicing on the hyperspectral coding vector set of the effective hyperspectral data set to obtain a multi-scale feature sequence; performing temporal feature decomposition based on feature trends on the multi-scale feature sequence to obtain a first trend coding vector set and a first seasonal coding vector set; performing temporal feature decomposition based on feature trends on the hyperspectral coding vector set to obtain a second trend coding vector set and a second seasonal coding vector set, and performing an operation for predicting the occurrence of rice blast disease on each coding vector set. The present invention can realize the extraction and prediction of the occurrence characteristics of rice blast disease, and obtain an early prediction result of the occurrence of rice blast disease.

The invention discloses a rice seedling blast disease intelligent detection system based on deep learning, relates to the technical field of crop detection, and solves the technical problems that early-stage diseases or diseases with atypical symptoms may not be accurately identified in time, further development of the diseases is caused, and greater loss is caused. Performing leaf and spike disease risk grading based on a feature extraction result, wherein different risk grades correspond to different prevention and control strategies; the system continuously monitors the image data of the growth area and the harvesting area, can timely find the subtle change of the characteristics of the leaves and the ears, and effectively reduces the yield loss and the quality reduction caused by diseases. Leaf and spike disease risk grading is combined with meteorological data of each management grid and hydrological data of an irrigation area; according to the system, meteorological data of each management grid and hydrological data of an irrigation area are combined, external disease condition risks are analyzed, and the external disease condition risks are combined with leaf and spike disease condition risk grading to carry out comprehensive risk early warning.

The invention discloses the application of rice E3 ubiquitin ligase BISG1 and its encoding gene in rice disease resistance breeding, belongs to the field of gene engineering technology, and discloses the application of rice E3 ubiquitin ligase BISG1 in regulating rice blast resistance, improving rice blast resistance or cultivating transgenic rice resistant to rice blast. The invention constructs overexpression and gene knockout vectors of rice BISG1 gene, transfers the vectors into Taipei 309 receptor material, obtains BISG1 overexpression plants and knockout plants, and analyzes the disease resistance of the obtained transgenic plants. The results show that knocking out BISG1 gene significantly improves the resistance level of rice to rice blast, indicating that BISG1 negatively regulates the disease resistance of plants, and its encoding gene BISG1 can be used as a target gene to improve plant disease resistance, has good application prospects in cultivating disease-resistant rice varieties, and lays an important foundation for rice resistance breeding.

The present invention discloses a feneptamidoquin-containing pesticide composition and its use. The pesticide composition comprises an active ingredient A and an active ingredient B, wherein the active ingredient A is feneptamidoquin and the active ingredient B is either blastifungin or blastamide, and the mass ratio of the active ingredient A to the active ingredient B is 1:25 to 30:1. The pesticide composition of the present invention has excellent control effects on rice blast disease. The rational combination of pesticides with different mechanisms of action effectively reduces the number of applications and the dosage of the pesticide, thereby lowering costs.

The application belongs to the technical field of plant disease prevention and treatment, and provides application of tetrahydro-gamma-carboline derivative. The structural formula of the tetrahydro-gamma-carboline derivative is: The derivative has a good inhibitory effect on fungal diseases of rice and tobacco, and can be used for preparing pesticides for preventing and treating tobacco target spot disease, tobacco brown spot disease, rice sheath blight disease and rice blast disease, and the application provides a new parent structure for development of the pesticides. The two kinds of tetrahydro-gamma-carboline derivatives provided by the application can be compounded with various types of pesticides, have a good synergistic effect on the above plant diseases, and can be used for delaying resistance development of existing commercial pesticides and prolonging the life cycle.

The invention provides a rice blast condition dynamic monitoring method based on a novel vegetation index and an unmanned aerial vehicle time sequence multispectral image. The method comprises the following steps: obtaining canopy spectrum and condition data of health and different condition severity susceptible samples in a plurality of phenological stages; constructing a multispectral rice blast vegetation index based on the canopy spectrum and the disease index, and constructing a disease index estimation model based on the multispectral rice blast vegetation index; and drawing a multi-temporal disease index spatial distribution map based on the time sequence unmanned aerial vehicle multispectral image, and drawing a disease index daily growth rate spatial distribution map based on the multi-temporal disease index spatial distribution map. According to the method, the disease index estimation precision is remarkably improved by constructing the novel vegetation index, and the defect that traditional static investigation is difficult to reflect the disease development trend is overcome through the time sequence dynamic index. The novel rice blast vegetation index of the method can be suitable for most of multispectral images, the illness condition drawing and sequence analysis steps are simple, the calculation cost is low, and the method can be widely applied to illness condition investigation, accurate pesticide application and pesticide effect tracking.

The present invention relates to synergistic pesticidal composition for the protection of various crops, plants against pests and plant diseases including leaf hoppers, Brown plant hopper (Nilparvata lugens), White backed plant hoppers (Sogatella furcifera), Green Leaf Hopper, whitefly, jassids, aphids, thrips, blast disease.

This invention belongs to the field of rice blast disease control technology, specifically relating to a polypeptide MP1 that inhibits rice blast fungus and its application. This invention discloses a polypeptide MP1 that inhibits rice blast fungus, the amino acid sequence of which is shown in SEQ ID NO.1. This polypeptide MP1 has a significant inhibitory effect on rice blast fungus appressoriums; after 24 h, the MP1 polypeptide significantly inhibits the formation of ECs on appressoriums. 50 The concentration was 134.60 μM. Experiments showed that the peptide could effectively interfere with the normal differentiation and development of appressorium, a key stage in the pathogenesis of rice blast fungus, thus exerting strong control potential in the early stages of pathogen infection. The peptide MP1 provided by this invention can significantly reduce the pathogenicity of rice blast fungus to barley and rice, providing experimental evidence for the development of novel biological pesticides for the control of rice blast.

The invention discloses a rice seedling blast disease intelligent analysis system based on remote sensing data analysis, and relates to the technical field of agricultural remote sensing and plant disease monitoring, the system comprises a physiological data acquisition module, a physiological feature extraction module and a disease severity calculation and severity grading module; wherein the physiological data acquisition module realizes in-situ non-invasive acquisition of the spectral reflectivity of rice seedling leaves, the maximum photochemical efficiency of a light system II and the water transport rate of stalks through various sensors such as a hyperspectral sensor and a chlorophyll luminoscope; the physiological feature extraction module fuses multiple parameters to calculate a leaf surface structure health index and a vascular function activity index; the disease grading module obtains an in-vivo disease load index through weighting, and outputs different disease grades in combination with a K-means clustering threshold value; the system solves the problems that traditional rice seedling blast diagnosis is high in subjectivity and hysteresis quality, and early-stage accurate recognition of diseases is achieved.