466 results about "Chlorophyll content" patented technology

The invention belongs to the technical field of chlorophyll content inversion, and discloses a canopy chlorophyll content inversion method based on feature extraction and a machine learning model, and the method comprises the following steps: employing a mode of combining an unmanned plane carrying a multispectral camera and ground actual measurement; collecting and processing the chlorophyll content data of the potato canopies, and planting a quilt index; carrying out feature selection by using a Pearson correlation analysis and competitive self-adaptive reweighted sampling algorithm; constructing a chlorophyll content inversion model based on machine learning; and carrying out chlorophyll content inversion model optimization based on a grey wolf optimization algorithm and a sparrow optimization algorithm, and carrying out precision evaluation. According to the canopy chlorophyll content inversion method based on feature extraction and the machine learning model, comparative study is carried out on the single growth period and the whole growth period of potatoes, the optimal inversion model suitable for the single growth period and the whole growth period is determined, and the accuracy and applicability of the study are guaranteed.

The invention belongs to the technical field of agriculture, and particularly provides a compound microbial agent and application thereof. The compound microbial agent is prepared from bacillus velezensis RKN1111, bacillus subtilis N-3 and paenibacillus mucilaginosus HX-02, and the compound microbial agent is prepared from bacillus velezensis RKN1111, bacillus subtilis N-3 and paenibacillus mucilaginosus HX-02, and the compound microbial agent is prepared from bacillus velezensis RKN1111, bacillus subtilis N-3 and paenibacillus mucilaginosus HX-02. The compound microbial agent can effectively improve the pH and EC of saline alkali soil, increase the content of alkali-hydrolyzable nitrogen, available phosphorus and quick-acting potassium in the soil, and play a significant role in increasing the plant height, stem diameter, chlorophyll content and aboveground biomass of corn plants in coastal saline-alkali soil.

The invention provides a small-region forest carbon sink accurate estimation method and system based on multiple constraints, and the method comprises the steps: respectively generating a canopy height model, a leaf area index and a chlorophyll content through obtaining unmanned plane laser radar data and multispectral data; generating a digital elevation model by adopting a lowest point filtering technology, realizing individual tree segmentation in combination with a gradient map and a watershed algorithm, and extracting individual tree geometric parameters; and constructing a carbon sink estimation model by using the geometric parameters and the physical and chemical parameters, and comprehensively calculating the carbon sink amount of the small region. The problems that a traditional carbon sink estimation method is insufficient in precision and low in automation level are solved, the single-tree segmentation precision and the carbon sink amount calculation precision are improved through deep fusion of geometric information and spectral information, full-process automation of data acquisition, data processing and carbon sink estimation is achieved, and the method is suitable for large-scale popularization and application. The method is suitable for carbon sink monitoring requirements of various forest types and complex terrain scenes.

The invention provides application of molybdenum disulfide nanoparticles in preparation of a tomato leaf fertilizer, and particularly relates to the technical field of tomato fertilizers. The molybdenum disulfide nano-particles act on tomato plants in a foliage spraying manner, so that the growth of the tomato plants is promoted and / or the fruit quality is improved. The molybdenum disulfide nanoparticles are used as the foliar fertilizer to significantly increase the plant height and stem diameter of tomatoes, increase the chlorophyll content and trace element content of plants, increase the vitamin C content, soluble sugar content and soluble solid content of tomato fruits, and significantly increase the accumulation of Mo and S of plants through the sulfur-molybdenum synergistic effect, so that the yield of the tomatoes is increased. A scientific basis is provided for reasonable application of the nano molybdenum fertilizer, and a way is opened up for high-yield and high-quality cultivation of tomatoes.

The invention discloses application of a GsRZ1A gene in improving alkali resistance of plants, and belongs to the technical field of genetic engineering. The nucleotide sequence of the GsRZ1A gene is as shown in SEQ ID NO: 1, and the coded amino acid sequence of the GsRZ1A gene is as shown in SEQ ID NO: 2. A transgenic line is obtained by constructing an overexpression vector of the GsRZ1A gene and transforming soybeans. A transgenic line is subjected to alkali stress treatment, and a result shows that the overexpressed GsRZ1A soybean line shows a faster relative growth rate, the total leaf area, the leaf chlorophyll content and the relative water content are all higher than those of a control line of an empty vector, the total root length and the total root surface area of a root system are also remarkably larger than those of a control group, and the antioxidant enzyme activity can be improved; the accumulation of superoxide anions and malonaldehyde is reduced, and the accumulation of osmotic regulation substances such as soluble sugar is increased to enhance the tolerance of the soybeans to alkali stress, so that the method has an important application prospect in alkali-resistant plant breeding.

The invention relates to the technical field of agricultural quantitative remote sensing and intelligent agriculture, and discloses a multi-source remote sensing data radiation correction and chlorophyll content cross-platform inversion method, which comprises the following steps: synchronously obtaining ground actual measurement, unmanned aerial vehicle and satellite remote sensing data, calculating vegetation indexes, and screening sensitive characteristic variables by using Pearson correlation analysis; establishing a radiation correction model by adopting a ratio averaging method, performing radiation normalization processing on satellite data by taking unmanned aerial vehicle data as a reference, and eliminating sensor response differences; an SPAD inversion model is constructed and optimized based on Z-score standardization, the SPAD inversion model is migrated and applied to corrected satellite data, a regional scale chlorophyll distribution diagram is generated through pixel-by-pixel calculation, and then a differentiated farmland management strategy is formulated. According to the method, the difficulty of multi-source data collaboration is solved, the regional scale crop chlorophyll monitoring precision is improved, and scientific decision support is provided for large-area crop fertilization.

The invention relates to the technical field of saline-alkali soil improvement and microorganisms, in particular to bacillus pumilus S3-9 and application thereof. The bacillus pumilus S3-9 is preserved in the China General Microbiological Culture Collection Center on December 19, 2024, and the preservation number of the bacillus pumilus S3-9 is CGMCC (China General Microbiological Culture Collection Center) No. 33120. The bacillus pumilus S3-9 provided by the invention has the effects of reducing salinity in saline-alkali soil, increasing nutrients of the saline-alkali soil and improving the diversity and stability of rhizosphere microbial communities of the saline-alkali soil, and can be applied to improving soil fertility, promoting nutrient circulation, improving soil quality, relieving soil salinization and the like. The strain can also be used for increasing the yield of sweet sorghum in saline-alkali land, has a remarkable growth promoting effect on plant height, overground part fresh weight and underground part fresh weight, can effectively improve the K < + > / Na < + > ratio, chlorophyll content, superoxide dismutase activity and catalase activity, and is beneficial to enhancing the adaptive capacity of plants to salt stress.

The invention provides a bamboo forest growth monitoring method and device based on a multispectral image, and relates to the technical field of remote sensing monitoring, and the method comprises the steps: obtaining a multispectral image of a to-be-detected bamboo forest through a multispectral camera, and enabling the multispectral camera to be carried on an unmanned aerial vehicle; based on the multispectral image, growth indexes of the bamboo forest to be detected are obtained, and the growth indexes comprise the height of bamboo plants, the number of the bamboo plants, chlorophyll content indication values of the bamboo plants and biomass of the bamboo plants; based on the growth indexes, determining the bamboo forest growth vigor. According to the bamboo forest growth vigor monitoring method based on the multispectral image, the growth vigor of the bamboo forest is comprehensively analyzed through all growth indexes, and accurate and efficient growth vigor monitoring of the large-area regional bamboo forest is achieved.

The invention discloses a potato seedling grading environment parameter dynamic optimization regulation and control method, and relates to the technical field of agricultural informationization. Based on an Internet of Things sensor deployed in a target area, stem diameter, chlorophyll content and plant height data of potato seedlings are collected, the seedlings are divided into weak seedlings, middle seedlings and strong seedlings by adopting K-means clustering, and the weak seedlings, the middle seedlings and the strong seedlings are classified into a weak seedling classification model, a middle seedling classification model and a strong seedling classification model; setting the duration of the initial light period; and carrying out gradient photoperiod test on each type of potato seedlings by taking the stem elongation rate and the chlorophyll content as constraint conditions. Through grading photoperiod modeling and ant colony algorithm dynamic optimization, the limitation of traditional fixed photoperiod regulation and control is broken through, the initial photoperiod range is set based on the seedling physiological difference, and the photoperiod-growth rate response curved surface model is constructed in combination with the stem elongation rate and chlorophyll content constraint conditions. The influence of different photoperiod combinations on seedling growth is quantified, accurate matching of photoperiods and seedling requirements is ensured, excessive growth or premature senility is avoided, and the growth rhythm stability and the resource utilization efficiency are improved.

The invention provides a method for improving maturity of a cigar coating, a product thereof and application of the product. The method comprises the following steps: carrying out infiltration and humidification, hanging rod balancing, vacuum pressure maintaining and humidification and microbial agent fermentation treatment on the cigar coating of a supplied material; the bacterial strains in the microbial inoculum comprise a combination of a brachybacterium paragglutinum HB001 bacterial strain with the preservation number of GDMCC No: 63066 and an agrobacterium przewalskii HB002 bacterial strain with the preservation number of GDMCC No: 63067. According to the method, the cigar coating is treated by adopting a specific treatment process, so that fence tissues and cell walls of the tobacco leaves are effectively damaged, the tobacco leaf tissues are loosened, and the chlorophyll content in the tobacco leaves is reduced, thereby effectively improving the conditions of greenness, stiffness and the like of the cigar coating and improving the quality of the tobacco leaves.

The invention discloses an ecological environment remote sensing data analysis method, and belongs to the technical field of ecological environment. The data analysis method comprises the following steps: collecting remote sensing image data of a monitored water area, and carrying out atmospheric correction and geometric correction on the remote sensing image data; utilizing a co-occurrence matrix method to extract water body spectral texture features so as to identify spectral texture feature wavebands related to water body turbidity, chlorophyll content and dissolved oxygen; constructing a water quality parameter inversion model, training and verifying the model by using field sampling data, and optimizing the model; regularly acquiring new remote sensing image data of a monitoring area, inputting the new remote sensing image data into the optimized water quality parameter inversion model, and monitoring spatial and temporal distribution changes of water pollution parameters; determining a key area according to an inversion result, and obtaining high-temporal-spatial-resolution supplementary data of the key area by using the unmanned aerial vehicle; and collecting meteorological and hydrological station observation data, and comprehensively analyzing the source and flow direction of pollutants in combination with the inverted water quality parameter spatial and temporal distribution information.

The invention provides a cotton yield prediction method and device, equipment and a medium, and relates to the field of cotton yield prediction, and the method comprises the steps: obtaining an RGB image and a multispectral image of to-be-predicted cotton in a flowering and boll-setting period; based on the RGB image and the multispectral image, determining the growth state of the to-be-predicted cotton and agricultural condition parameters of a cotton field where the to-be-predicted cotton is planted; inputting the agricultural condition parameters into a pre-trained chlorophyll prediction model to obtain predicted chlorophyll of the to-be-predicted cotton in a flowering and boll setting period; inputting the growth state and the predicted chlorophyll into a pre-trained cotton yield prediction model to obtain the predicted yield of the to-be-predicted cotton; wherein the cotton yield prediction model is obtained by training chlorophyll detection values and growth states of different varieties of cotton in historical flowering and boll-forming periods and yields of corresponding cotton in historical harvesting periods. The cotton chlorophyll content can be accurately predicted, the cotton yield can be efficiently predicted, and support is provided for cotton germplasm screening and accurate breeding.

The invention belongs to the technical field of biological agents, and particularly relates to ginsenoside variant flavobacterium DG-16 and application thereof in relieving continuous cropping obstacles of angelica sinensis and improving the quality of the angelica sinensis. According to the ginsenoside variant flavobacterium DG-16 disclosed by the invention, the growth of angelica sinensis is promoted by increasing the contents of jasmonic acid and cytokinin hormones, reducing the contents of gibberellin and salicylic acid hormones and promoting the circulation and utilization of nitrogen; in addition, the flavobacterium ginsenoside variant DG-16 can significantly increase the chlorophyll content, is beneficial to photosynthesis of the angelica sinensis, effectively changes the physiological and biochemical states of the angelica sinensis, can resist root rot of the angelica sinensis so as to relieve successive cropping obstacles and improve the quality, and has a significant effect.

The invention discloses a SiERF109 gene for regulating drought resistance, salt tolerance and flavonoid accumulation of millet and application of the SiERF109 gene, and belongs to the technical field of plant breeding. According to the invention, a gene SiERF109 with a nucleotide sequence shown as SEQ ID NO.1 is separated and cloned from millet, and fluorescent quantitative expression analysis shows that SiERF109 participates in drought and salt stress response of millet. After the gene is over-expressed in foxtail millet, in drought and salt stress experiments, compared with a wild type strain, the survival rate and chlorophyll content of a strain over-expressed with the SiERF109 gene are remarkably increased, the flavonoid content is increased by 33.5%-39.5%, and active oxygen accumulation is remarkably reduced; it is shown that the SiERF109 gene and the protein coded by the SiERF109 gene can remarkably improve the drought resistance, the salt resistance and the flavonoid content of the plant.

The invention provides a salt-tolerant gene, namely a PrABC1 gene and application thereof, and also provides a vector containing the gene, an expression cassette, a recombinant cell, a transgenic plant and a method for producing the transgenic plant. Specifically, the gene has a nucleotide sequence as shown in SEQ ID NO: 1 or SEQ ID NO: 2. The plant growth regulator can be used for improving the tolerance of plants to a salt stress environment, relieving the adverse effects of a high-salt environment on the germination rate and root length of the plants, reducing the water loss rate of the plants under the high-salt stress condition and reducing the reduction of the chlorophyll content.

The invention discloses a method for evaluating and screening salt tolerance of triticale germplasm resources in a germination stage, and belongs to the technical field of evaluation and screening of plant salt tolerance, salt stress concentration screening: triticale seeds are treated by NaCl solutions with different concentrations, indexes such as survival rate, plant height and overground part fresh weight are measured, the NaCl solution with the concentration of 200 mmol. L <-1 > is determined as the salt tolerance evaluation appropriate concentration, and the salt stress concentration is determined as the salt tolerance evaluation appropriate concentration. Salt tolerance evaluation test: carrying out salt stress treatment by adopting a 200mmol. L <-1 > NaCl solution, determining phenotypic indexes such as survival rate, plant height, fresh weight of overground part, root length and chlorophyll content, and physiological and biochemical indexes such as catalase, peroxidase and superoxide dismutase activity and malondialdehyde content, and carrying out principal component analysis, membership function analysis and clustering analysis to obtain a salt tolerance evaluation result. Calculating a salt tolerance comprehensive evaluation value, and screening salt tolerance triticale germplasm resources.

The invention belongs to the field of gene engineering, and particularly relates to a rice leaf whitening gene ALS as well as an encoding protein and application thereof. The invention discloses a chloroplast development regulation gene ALS (Albino Seedling), the gDNA sequence of the gene is as shown in SEQ ID NO.1, the CDS sequence of the gene is as shown in SEQ ID NO.2, and the amino acid sequence of encoded protein is as shown in SEQ ID NO.3. The invention also discloses a chloroplast development regulation gene ALS. Experiments show that after function deletion of the ALS gene, chloroplast in a rice mutant develops abnormally, the chlorophyll content is sharply reduced, and the rice mutant is albino and lethal in the seedling stage. The study on the ALS gene function provides a new germplasm resource for the study on the rice chloroplast development regulation mechanism, and the ALS gene can also be used as a leaf color marker in the seedling stage to be applied to the breeding of a new rice variety.

The invention relates to the field of gene engineering and molecular breeding, and discloses application of a ZmTCP5 gene in regulation and control of heat resistance of corn. According to the invention, three types of knockout mutants of the gene are obtained by using a CRISPR / Cas9 technology, and three overexpression materials are created. At normal temperature (25-28 DEG C), the material has no obvious phenotypic difference with a wild type; however, under high temperature stress (45 DEG C), the ZmTCP5 knockout mutant has enhanced heat resistance, reduced reactive oxygen species (ROS) accumulation, and significantly increased ROS scavenging enzyme activity, chlorophyll content and photochemical efficiency; on the contrary, the ZmTCP5 overexpression strain is more sensitive to heat stress, which indicates that the ZmTCP5 negatively regulates the heat resistance of the corn. The research provides a theoretical basis for analyzing a heat-resistant molecular mechanism of the corn, and also provides an important gene resource for creating a new germplasm of the heat-resistant corn.

The invention provides a fresh tobacco leaf chlorophyll content integrated model prediction method, medium and system, and belongs to the technical field of tobacco leaf detection.The method comprises the steps that transmission spectrums of fresh tobacco leaves with different maturity degrees are collected and subjected to black and white correction; dividing the leaf into six areas, collecting spectrums, and calculating an average value; carrying out multiple pretreatments on the original spectrum and dividing a data set; analyzing and establishing a relationship between the chlorophyll content and the spectrum based on a photosynthetic pigment absorption mechanism, and screening key wavelengths; the FMR-NSGA multi-objective optimization algorithm is fused with the F test and mutual information method to screen characteristic wavelengths; dynamically eliminating redundant features by using a recursive feature elimination method; establishing a parameter mapping function, and automatically determining a model hyper-parameter according to the wavelength importance index; a Stacking framework is constructed, hyper-parameters are dynamically optimized by adopting a grey wolf optimization algorithm, the prediction precision is improved, and the technical problem of rapid and accurate prediction of the chlorophyll content of the fresh tobacco leaves is solved.

The invention discloses a nano-material complex microbial inoculant and application thereof, and relates to the technical field of microorganisms. The invention discloses application of a nano-material complex microbial inoculant in promoting growth of overground parts of plants, and results show that compared with a treatment group singly inoculated with YH-18, the plant height, leaf area, ground diameter, fresh weight, dry weight and chlorophyll content of tomato seedlings subjected to complex treatment are all remarkably increased. The invention discloses application of a nano-material complex microbial inoculant in promoting plant root growth, and results show that the root length, the root surface area and the root tip number are respectively increased by 35.76%, 13.19% and 57.84% compared with those of single inoculation of YH-18. After compounding and inoculating, the content increase of rapidly available potassium, rapidly available phosphorus and hydrolytic nitrogen in the soil is effectively promoted, the content of organic matters in the soil is remarkably increased, and the nutrient structure of the soil is improved; pseudomonas is significantly enriched through composite inoculation, and the abundance of TRA3-20 is significantly reduced.

The invention discloses application of a phosphorus-solubilizing fungus solid bacterial fertilizer in promoting crop growth, and belongs to the field of environment and the technical field of agriculture. The solid bacterial fertilizer comprises penicillium deserticola and / or penicillium fistulosum, the penicillium deserticola and / or penicillium fistulosum are compounded according to the proportion of 1: 1, agricultural waste mushroom bran serves as a main carrier, and the inoculum size of a bacterial solution is 9 wt%. The bacterial fertilizer can effectively activate insoluble phosphorus in soil, significantly improve absorption and utilization of phosphorus by crops, promote plant growth, increase root length and biomass, increase leaf chlorophyll content, enhance photosynthesis capability, reduce dependence on chemical phosphate fertilizer and realize agricultural waste recycling, and has the advantages of high efficiency, environmental protection and low cost.

The invention relates to a strain of Chryseobacterium sp. ZJUHULYY1 and application of the Chryseobacterium sp. ZJUHULYY1 in promotion of corn growth and iron absorption, and provides a strain of Chryseobacterium sp. ZJUHULYY1, which is preserved in China Center for Type Culture Collection on April 27, 2025, and has a preservation number of CCTCC NO: M 2025904. The strain of Chryseobacterium sp. ZJUHULYY1 is obtained by separating and purifying from rhizosphere soil of corn, and the strain of Chryseobacterium sp. ZJUHULYY1 is obtained by separating and purifying from rhizosphere soil of corn. The biological characteristics of the strain are as follows: after being cultured in an LB plate culture medium at 30 DEG C for 24 hours, the bacterial colony is round or oval, golden yellow, smooth and glossy in surface, neat in edge and negative in gram staining; when the strain is inoculated to rhizosphere of corn growing in calcareous soil, compared with a control group, the plant height, chlorophyll content, biomass and active iron content of the corn are all remarkably improved, the growth condition of the corn in the calcareous soil is effectively improved, and the absorption and utilization efficiency of the corn on iron elements is improved.

The invention provides an application of potato laccase StLAC19 in a shade avoidance reaction. The overexpression of the StLAC19 gene can significantly enhance the shading tolerance of potato plants, and effectively improve the lignin content, the osmotic regulation substance content, the chlorophyll content, the stalk strength, the CAT and POD enzyme activity and the PRO and MDA content; on the contrary, interference on expression of the StLAC19 gene results in a contrary result. The result shows that the StLAC19 gene positively regulates and controls the shading reaction of potato plants. The screening of varieties with high expression of the StLAC19 gene is helpful for obtaining materials with stronger shade-avoiding tolerance, so that the gene can be used as a target gene for breeding shade-avoiding tolerance type potato varieties.

The invention discloses an enterobacter strain and application thereof in improving stress resistance of plants. The invention relates to the field of biological agriculture, and provides Enterobacter sphaeroides YJD-AD2-2, and the enrollment number of the Enterobacter sphaeroides YJD-AD2-2 in the General Microbiological Culture Collection Center of the China Committee for Culture Collection of Microorganisms is CGMCC No.29524. The Enterobacter sphaeroides YJD-AD2-2 can be used for preparing the enterobacter sphaeroides YJD-AD2-2. The enterobacter sphaeroides YJD-AD2-2 provided by the invention can improve the resistance of arabidopsis thaliana, alfalfa, corn and rice to salt and alkali stress, specifically, the dry weight, fresh weight, plant length, leaf area and chlorophyll content are increased, the oxidation resistance is improved, wilt is reduced, and physiological and biochemical indexes are improved. The YJD-AD2-2 microbial inoculum improves the property and activity of saline alkali soil and improves the abundance and composition of microbial communities. Detection shows that the YJD-AD2-2 strain has the capabilities of secreting IAA (Indoleacetic Acid), ACC (Acetyl Cellulose) deaminase and siderophore, dissolving phosphorus and fixing nitrogen. The indexes show that the YJD-AD2-2 microbial inoculum has the potential of growth-promoting bacteria and has important application value in the field of agriculture.

The invention discloses application of exogenous selenium to improvement of tomato late blight resistance, and belongs to the field of plant disease control. The exogenous selenium comprises Na2SeO3 (sodium selenite). Compared with a control group, exogenous selenium can inhibit the morbidity of tomato plants. Specifically, the exogenous selenium can inhibit the expansion of tomato leaf late blight scabs, relieve the accumulation of H2O2 and O2 <-> in the leaves and reduce the ROS content in the tomato leaves; meanwhile, the activity of antioxidant enzymes SOD, POD and CAT and the content of chlorophyll can be improved, and generation of MDA is reduced; besides, the content of SA and JA of tomato plants and the content of selenium in tomato leaves and fruits can also be increased by spraying exogenous selenium; in addition, through detection, exogenous selenium can improve the resistance of tomatoes to phytophthora infestans by inducing expression of the SIPR5 gene. In conclusion, the invention finds that the exogenous selenium can improve the resistance of the tomato to the late blight, and provides a new method for preventing and treating the tomato late blight.

The invention relates to a plant growth-promoting rhizobacteria. The preservation number of the plant growth-promoting rhizobacteria is GDMCC No: 65494. Through rhizosphere soil microorganism sampling of Gannan navel oranges, the strain G41 with the characteristics of producing indoleacetic acid, producing siderophores and solubilizing phosphorus is successfully separated out. Furthermore, pot experiments verify that the strain group is inoculated, so that the plant height, stem diameter, biomass, chlorophyll content and antioxidant enzyme activity of navel orange seedlings are increased, and the strain has an excellent growth promoting effect. Through strain identification, the strain is formally named as the bacillus subtilis G41, and the bacillus subtilis G41 is named as the bacillus subtilis G41. In particular, it is worth mentioning that the strain has rich gene resources, 32 genes related to growth promoting characteristics are excavated from the gene level, and the genes are widely distributed in key processes such as indoleacetic acid biosynthesis, siderophore biosynthesis and transport and phosphorus circulation.

The invention discloses a method for determining a toughness and catastrophe threshold value of a functional group of a water ecosystem, and relates to the technical field of water environment ecological engineering.The method comprises the steps that the state of a target water ecosystem is determined according to the total nitrogen content, the total phosphorus content and the chlorophyll content of a water body in the target water ecosystem, the state of the target water ecosystem is eutrophication or non-eutrophication; determining the biomass of phytoplankton based on the target water ecosystem state; utilizing an Ecopath model to construct a static food network relation model of the target water ecosystem; based on the target water ecosystem state, the biomass of the phytoplankton and the static food network relation model, determining a toughness threshold value and a catastrophe threshold value of the biomass of each functional group; each functional group is a plurality of groups for dividing species in the target water ecosystem. According to the method, the water ecosystem functional group toughness threshold value and the catastrophe threshold value which are simple to operate and high in accuracy can be provided.

The invention relates to a culture method for improving duckweed thallus starch yield. The method comprises the following steps: adding a nutrient solution with the initial concentration of 40-50% into a culture device, inoculating duckweed according to 1-10% of the working volume, and dynamically adjusting the concentration of the nutrient solution according to the growth stage in the duckweed growth process: 1) in the rapid growth period, maintaining the concentration of the nutrient solution to be 40-50% of the original concentration, and at the moment, keeping the chlorophyll content of the duckweed to be 0.15-0.30 mg / g; and 2) starch accumulation period: gradually reducing the concentration of the nutrient solution to 30-40% of the original concentration, wherein the chlorophyll content of the duckweed is 0.10-0.20 mg / g. The corresponding distilled water is supplemented according to the evaporation volume of the nutrient solution for 2-3 times, the distilled water is supplemented every 1-2 days, the volume of the nutrient solution is kept stable during the period, and finally the duckweed thallus with the high starch yield is obtained. The method is short in culture period and low in cost; compared with conventional culture, the method has the advantages that the biomass and starch yield of the duckweed thallus can be synchronously improved, and a new thought is provided for the starch yield and subsequent comprehensive application of the duckweed thallus.

The invention discloses a rice chlorophyll content prediction method, device, medium and equipment, and relates to the technical field of crop growth, and the method comprises the following steps: obtaining canopy spectral data and physicochemical parameters of rice in a to-be-detected area; dividing the rice canopy into three concentric circle areas based on the leaf inclination angles of different leaves of the rice, and obtaining the layered rice canopy; constructing a hierarchical radiation transfer model HRTM for simulating a rice hierarchical spectrum, and inputting the physical and chemical parameters into the hierarchical radiation transfer model HRTM to generate hierarchical spectrum data; constructing a lookup table LUT based on the physicochemical parameters and the layered spectral data, taking the lookup table LUT as an analog data set, improving the analog data set by adopting a quartile method, and determining analog spectral data; based on the simulated spectrum data, constructing an inversion model for acquiring the chlorophyll content of the rice layers layer by layer; and inputting hyperspectral data to be measured into the inversion model, and determining a corresponding chlorophyll content prediction result.

The invention provides a plant chlorophyll index determination method based on multispectral laser, which comprises the following steps: detecting ambient light intensity of an environment where plant leaves are located to obtain an actual ambient light detection value; according to the actual detection value of the ambient light, a pulse generator is regulated and controlled, and a PWM frequency conversion signal is generated; driving a multi-band laser source based on the PWM frequency conversion signal to enable the laser source to emit laser and form uniform light spots on the surface of the plant leaf; receiving and preprocessing the laser signal reflected by the plant leaf to obtain a pure electric signal; the pure electric signal is converted into a digital quantity, calculation processing is carried out based on the digital quantity and a preset digital quantity, and the reflectivity corresponding to each wave band is obtained; and calculating based on the reflectivity corresponding to each wave band to obtain the chlorophyll index. By adopting the method, related data of the chlorophyll content of the plant can be accurately obtained, and technical support is provided for agricultural scientific management, diagnosis decision and high yield.