19 results about "Indicator plant" patented technology

The invention belongs to the field of atmospheric environment monitoring, and discloses an automatic sampling and monitoring system and method for volatile organic compounds in an atmospheric environment. A gas sample in an environment is collected and processed to obtain environment gas characteristics, VOCs indication plant characteristics of a regional monitoring point are obtained, and plant environment growth state characteristics are obtained through collection and processing of regional monitoring point image monitoring equipment; and constructing an environment volatile organic compound monitoring model by utilizing the characteristics and the corresponding high-precision monitoring state of the volatile organic compound in the atmospheric environment, and judging whether the environment is subjected to high-precision monitoring or not by utilizing a high-precision real-time monitoring state generated by the model. According to the invention, the plant features are obtained by using the plant state and the corresponding image processing technology, and the subsequent volatile organic compound state is timely judged by using the machine learning method, so that the necessity judgment before high-precision environment monitoring is assisted, the labor cost of point distribution before high-precision monitoring is reduced, and the working efficiency is improved. And the accuracy of subsequent high-precision detection of the volatile organic compounds in the atmospheric environment is improved.

Plant monitoring method that uses a Mahalanobis distance calculated from data of several variables indicating the state of a plant, the method comprising: a step (S2) of capturing initial data, which are data from a past first period (T1) up to a current point in time; a prediction step (S6) of predicting second data, which are data from a second period (T2) after the current time; and a unit space generation step (S8) of generating a unit space which is a basis for calculating the Mahalanobis distance, based on the first data and the second data, in the prediction step (S6) the second data are predicted on the basis of third data, which are the data of a third period (T3) obtained by shifting the first period (T1) a prescribed time into the past, fourth data, which are the data of a fourth period (T4) obtained by shifting the second period (T2) a prescribed time into the past, and the first data, where the prescribed time is longer than the second period (T2).

Systems and methods for illuminating a plurality of plants (11) are disclosed. The system (1) comprises an illumination system (3) configured to illuminate a plurality of plants (11) with radiation having one or more controllable radiation properties, and a data processing system (100) communicatively connected to the illumination system (3). A data processing system (100) comprises an input interface for receiving a signal indicative of a status of a plant canopy, an output interface for sending a control signal to an illumination system, and a processor. The processor is configured to: receive a signal indicative of a status of a plant canopy formed by a plurality of plants (11); determining whether the plant canopy is closed based on the received signal indicative of the status of the plant canopy; and sending a control signal to the illumination system (3), the control signal being based on the determined canopy closure. The illumination system (3) is configured to switch from illuminating the plurality of plants (11) according to a first radiation recipe to illuminating the plurality of plants (11) according to a second radiation recipe different from the first radiation recipe based on the received control signal.

The present application relates to a kind of difficult culture pathogen resistance identification method and its application, belong to the field of agriculture and forestry science, step 1: the culture screening of toxic source plant, plant to be identified and indicator plant;Step 2: grafting transmission, the toxic source plant screened only with difficult culture pathogen, the plant to be identified without difficult culture pathogen and indicator plant are arranged in position, and transmission is carried out using grafting method;Step 3: observation and detection, according to the disease cycle of difficult culture pathogen, the disease phenotype of plant to be identified and indicator plant in step 2 is observed, and the colonization, propagation of difficult culture pathogen is detected by PCR method;Step 4: disease resistance and pathogen running speed evaluation.Effectively solve the problem that the identification result is inaccurate due to the low inoculation rate of difficult culture pathogen using transmission medium, the inconsistency of inoculation source pathogen and other reasons, the error is larger in resistance identification work, etc.

We provide an agricultural support system that can collect information on plant growth. [Solution] According to one aspect of the present invention, an agricultural support system is provided, comprising a processor, the processor being configured to perform the following steps by reading a program, the map display control step of displaying a polygon map including polygons indicating plant habitats and communication information associated with the polygons, wherein the communication information is information indicating consultation regarding plant growth in the habitat indicated by the associated polygons.

The application discloses application of a rice HDT701 gene in cultivating plant arsenic stress high tolerance or high sensitivity varieties, and belongs to the technical field of genetic engineering. The nucleotide sequence of the HDT701 gene is shown in SEQ ID NO. 1, or is completely complementary to the sequence shown in SEQ ID NO. 1, or is a nucleotide sequence for coding the amino acid sequence shown in SEQ ID NO. 2. The application can improve the ability of plants to resist arsenic stress by reducing the expression of HDT701, or can improve the sensitivity of plants to arsenic stress by increasing the expression of HDT701, and can be applied to plant genetic engineering breeding, and provides a new method for creating or improving new germplasm of plants resisting arsenic stress or indicating plants in arsenic pollution.

This invention discloses a green control method for tomato viral diseases based on the synergistic effect of Solanaceae and Asteraceae weeds, belonging to the field of agricultural plant crop protection technology. This invention uses the Solanaceae weed *Solanum nigrum* and the Asteraceae weed *Chrysanthemum indicum* as indicator plants for tomato viral diseases. By arranging the indicator plants in a grid pattern, comprehensive monitoring of major viral disease species within the facility can be achieved. By monitoring the viral disease symptoms of the indicator plants, early warnings can be issued 7-10 days in advance, allowing more time for tomato disease control and improving the timeliness and proactivity of prevention and control. Furthermore, based on the warnings issued by the indicator plants, an extract of *Eupatorium fortunei*, an Asteraceae weed that has a significant inhibitory effect on tomato viral disease symptoms, is applied, thus constructing an integrated "monitoring-blocking" green control system, achieving early warning and efficient control of viral diseases.

A method and system for detecting disease in a plant, the method including: obtaining a baseline electrical impedance or resistance measurement of a plant organ by applying an electrical signal via a plurality of electrodes in contact with the plant organ and measuring a response to the applied electrical signal; obtaining one or more subsequent electrical impedance or resistance measurements of the plant organ or another plant organ of the plant, each subsequent measurement obtained after a time interval from a previous measurement; comparing the one or more subsequent electrical impedance or resistance measurements with the baseline electrical impedance or resistance measurement to detect a deviation indicative of a developing disease in the plant; and generating an alert in response to detecting the deviation indicative of the developing disease.

We provide an agricultural support system that can collect information on plant growth. [Solution] According to one aspect of the present invention, an agricultural support system is provided, comprising a processor, the processor being configured to perform the following steps by reading a program, the map display control step of displaying a polygon map including polygons indicating plant habitats and communication information associated with the polygons, wherein the communication information is information indicating consultation regarding plant growth in the habitat indicated by the associated polygons.

The invention discloses a refuse landfill leakage detection method and system, and the method comprises the steps: obtaining pollution data and environmental data corresponding to target refuse landfill, calculating a pollution tolerance evaluation value, thereby obtaining a suitable living plant set, screening an optimal living plant according to the planting cost, and carrying out the planting deployment of a planting indication plant array. Collecting corresponding root system electrophysiological signal data, calculating a corresponding root system electrophysiological evaluation value, and comparing the corresponding root system electrophysiological evaluation value with a set root system electrophysiological evaluation threshold to judge whether pollutant leakage occurs or not; if pollutant leakage occurs, the leakage degree is analyzed, and early warning prompting is carried out; the system comprises a living plant screening and planting module, a pollution leakage real-time detection module, a leakage real-time detection and judgment module and a database. Through multi-dimensional design such as construction of a plant root system electrophysiological signal network, pollution tolerance evaluation value analysis and a planting cost optimization strategy, early warning, accurate positioning, accurate detection, rapid emergency response and the like are realized.

The invention discloses a plant configuration method for manufacturing a silver fir micro landscape, which comprises the following steps: constructing a subarea microenvironment: constructing a mycorrhiza soil co-rooting area in a cultivation container through physical or functional subarea, and constructing an ecological conservation area outside the co-rooting area; the co-rooting area is filled with mycorrhiza soil, and the ecological conservation area is filled with a moisturizing substrate; configuring an indication plant system: planting specific environment indication plants in the ecological conservation area, wherein the specific environment indication plants comprise pogonatherum glaucescens and moss reptans; identifying the current humidity and illumination state in the micro-landscape system according to the change; and generating and executing an environmental adjustment decision based on the maintenance rule indicating the plant state mapping to adjust the environmental conditions of the micro landscape. According to the method, the pogonatum aloides and the moss proscens are configured into living biosensors, so that environmental stress is reduced fundamentally, the transplanting survival rate of the cathaya argyrophylla is increased, and the growth vigor of the cathaya argyrophylla is remarkably enhanced.

The application discloses application of a rice OSDHAR1 gene in cultivating plant arsenic stress high tolerance varieties and belongs to the technical field of genetic engineering. The OSDHAR1 gene codes a nucleotide sequence of an amino acid sequence shown in SEQ ID NO. 4. The application can improve the plant arsenic stress resistance by improving the expression of the OSDHAR1 or improving the acetylation modification degree of the eighth amino acid of the protein coded by the gene, can be applied to plant genetic engineering breeding, and provides a new method for creating or improving a new plant arsenic stress resistance germplasm or an arsenic pollution indicating plant.

A method of determining a crop yield of a field worked by an agricultural vehicle includes receiving, from a sensor of the agricultural vehicle, sensor data associated with at least one parameter of a swath of a plant material formed by the agricultural vehicle in the field. The method further includes receiving, from a location sensor, location data indicative of a location of the swath of the plant material. The method further includes generating, based on the sensor data and the location data, the swath parameter map indicating the at least one parameter of the swath of the plant material at the location of the swath of the plant material.

[Problem] To provide an agriculture assistance system capable of collecting information related to growth of plants. [Solution] According to one aspect of the present invention, provided is an agriculture assistance system comprising a processor that is configured to read a program to execute steps. In a map display control step, a polygon map which includes a polygon indicating a plant habitat and communication information associated with the polygon is displayed. The communication information indicates consultation regarding growth of the plant in the habitat indicated by the associated polygon.

We provide an agricultural support system that can offer information based on predictions of potential failures. [Solution] According to one aspect of the present invention, an agricultural support system is provided, comprising a processor, the processor being configured to perform the following steps by reading a program, wherein in the forecast value display control step, the system displays time-series data including forecast values ​​indicating the possibility of damage occurring to plants at each of a plurality of forecast time points from the present onward, and the annual values ​​of the forecast values ​​for each of the plurality of forecast time points.

Non-destructive methods for assessing nitrogen fixation status in legume plants are disclosed. Also disclosed are methods of determining a nitrogen threshold for a legume plant, reporter plants, systems and methods for rapid, field-deployable monitoring of nitrogen fixation, for optimizing fertilizer use, and for supporting breeding programs aimed at improved symbiotic efficiency.

The application relates to the technical field of soil detection, in particular to a garden soil quality detection system and method based on multi-source data, which comprises the following modules: a data acquisition module: implanting multiple groups of bioimpedance sensors in to-be-detected garden soil, and acquiring bioimpedance spectrum data collected by the bioimpedance sensors; a data analysis module: determining the metabolic activity distribution of microbial communities in the soil based on the bioimpedance spectrum data; a morphological change monitoring module: planting indicator plants in the soil, and monitoring morphological change responses of the indicator plants in a growth cycle; and a soil activity evaluation module: generating a comprehensive soil biological activity evaluation report based on the proxy activity distribution and the morphological change responses. The application establishes an evaluation system from microbial metabolic activity to plant growth state through bioimpedance measurement and plant growth response monitoring, and can directly reflect the metabolic activity of microbial communities.

A method and system for maintaining plants, where each plant is in a container with a growing medium, includes determining a drying profile that is a function of elapsed time from a time of an initial watering state. The drying profiles may be species-specific and may also indicate total weight of the plant, container and growing medium over elapsed time; drying profiles may also be made dependent on various environmental factors. An estimate is made of when the wetness level in the growing medium will fall below a predetermined minimum level as indicated by the drying profile. An indication is given to a user of a need to water the plant when the wetness level is estimated to reach, or has already reached the predetermined minimum level.

To provide a system and method for pre-harvest detection of latent infection of plants.SOLUTION: Disclosed herein are systems and methods for identifying latent pre-harvest infection in plants. In one aspect, a method includes obtaining data describing expression levels of one or more biomarkers present in a plant, encoding the obtained data into a data structure for input into a machine learning model, and causing one or more computers to: Providing the encoded data structure as input to a machine learning model trained to generate output data indicative of a likelihood of the plant having latent infection based on processing of the encoded data structure, obtaining the generated output data indicative of the likelihood of the plant having latent infection, determining that the plant has latent infection based on the generated output data, and performing one or more operations to mitigate the infection of the plant.SELECTED DRAWING: None