30 results about "Indicator plant" patented technology

A soil moisture gauge for determining a level of moisture in a plant pot has an elongated main body, which has a lower tip and grooves formed in and along the main body. A graduated scale is formed in the main body over a distance corresponding to a maximum expected soil depth when the gauge is inserted into soil contained in the plant pot. When the gauge is inserted into the plant pot and then pulled out of the plant pot, moist soil is retained in the grooves whereas dry soil falls from the grooves, whereby a user can read moist soil depth on the graduated scale. The reading from the soil moisture gauge can be used as an input to a system to adjust a drying profile that indicates to a user a time by which the plant should be watered.

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.

A fertigation sensor system includes a first sensor system and a second sensor system. The first sensor system includes a first container configured to collect a feed solution originating from a fertigation source, the feed solution including water and fertilizer at a target ratio of concentration of water to fertilizer and a first sensor disposed in the first container. The second sensor system includes a second container configured to collect the feed solution originating from the fertigation source and a second sensor disposed in the second container. The sensor systems are usable to determine volumetric flow rates and electrical conductivity and permittivity of feed solution before and after being provided to one or more plants, thereby providing data indicating plant development and growth conditions.

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.

The present application belongs to the field of grassland restoration, and discloses a kind of restoration method of degraded grassland, and the specific steps are 1) identifying the different sedimentary facies structure characteristics of vertical stratum in research area;2) the characteristics of grassland degradation indicator plant in research area are studied, and the degradation degree is divided;3) analysis of grassland degradation geological mechanism, including analysis of the influence of topography on the distribution of Stellera chamaejasme, and the synergistic or antagonistic main control factor of the influence of sedimentary facies change on the growth of indicator plant;4) construct the grassland degradation model based on the sedimentary facies constraint of similar habitat conditions based on the concept of geology;5) indoor grass seed screening based on drought resistance coefficient;6) demonstration area mixed planting tank planting, and the comprehensive management method of degraded grassland is proposed.The present application starts from the root of degraded grassland, based on the background condition of ecological geological environment, follows the principle of adapting measures to local conditions, scientifically selects suitable grass seeds, adheres to the correct support of artificial and the guidance of ecological system natural restoration, and ensures the minimum economic and environmental risk of ecological protection and restoration.

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.

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.

The plant management apparatus may include an environment control unit that controls an environment of a plurality of cultivation racks for cultivating plants in a plant workshop for at least one cultivation rack among the plurality of cultivation racks by controlling an environment control device for controlling an environment state in the plant workshop. The plant management apparatus may include a receiving unit that receives information indicating a harvest time of a plant. The plant management apparatus may include a selection unit that selects, based on environmental control information indicating a relationship between a growing period of a plant and an environmental control condition of an environmental control device, environmental control information indicating a relationship between the growing period of the plant and the environmental control condition. At least one cultivation shelf satisfying a harvesting time condition is selected as a target cultivation shelf from among the plurality of cultivation shelves for cultivating plants in an environment controlled by the environment control device under respective environment control conditions.

The utility model discloses a device for indicating photosynthesis efficiency by utilizing a plant microbial fuel cell. The device comprises an anode, a cathode, an external resistor and an electric signal collector, the anode is buried in plant planting soil and clings to a plant root system; the cathode is laid in the overlying water on the surface layer of the soil; the anode and the cathode are connected with the external resistor through wires, and the external resistor is connected with the electric signal collector through a wire. According to the utility model, the root exudates are used for providing organic matters for soil rhizosphere microorganisms, and the anode is laid close to the plant root system, so that the root exudates can be decomposed by electrogenesis bacteria to the greatest extent and converted into electric energy, thereby constructing a microbial fuel cell for indicating photosynthesis efficiency. The photosynthesis efficiency of plants is indicated through electric signals, and the change of the photosynthesis efficiency of the plants can be directly, simply and continuously observed.

Systems and methods for monitoring plants' conditions in one or more plant growing areas are presented. The system comprises a data collection system for providing characterization data about various parameters of plants in the one or more plant growing areas, the data collection system comprising data collection modules of at least first and second different types comprising respectively one or more first type imaging devices of predetermined first field of view and first resolution and one or more second type imaging devices of predetermined second field of view narrower than the first field of view and second resolution higher than the first resolution, the characterization data provided by the first type imaging device(s) comprising first type image data indicative of one or more plants in the plant growing area and of location of at least one device of the second type imaging devices with respect to said one or more plants in the plant growing area, the characterization data provided by the second type imaging device(s) comprising second type image data indicative of one or more portions of plants in the plant growing area; and a control system for activating at least one first type imaging device and at least one second type imaging device at least partially simultaneously, and to be responsive to operational data being based on analysis of the first type image data and comprising navigation data to navigate the at least one second type imaging device or at least one device of the first type imaging devices in the plant growing area.

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.

To improve estimation accuracy of a growth state of a plant.SOLUTION: An information processor comprises a model acquisition part which acquires a learned model, and an estimation processing part. The learned model is a model created by performing predetermined machine learning by using first information including image information regarding an image obtained by capturing a specific kind of a plant to be cultivated and imaging time information showing a period of time in a year when the image was captured as an explanatory variable, and second information showing the growth state of the plant as an objective variable. The estimation processing part estimates the growth state of the plant by using the first information regarding the plant to be estimated and the learned model.SELECTED DRAWING: Figure 5

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.

A fertigation sensor (114, 116, 118, 212, 330) system (100, 104, 106, 108, 300) includes a first sensor system (104) and a second sensor system (106). The first sensor system (104) includes a first container (105) configured to collect a feed solution (102, 248) originating from a fertigation source (308), the feed solution (102, 248) including water and fertilizer at a target ratio of concentration of water to fertilizer and a first sensor (114) disposed in the first container (105). The second sensor system (106) includes a second container (107) configured to collect the feed solution (102, 248) originating from the fertigation source (308) and a second sensor (116) disposed in the second container (107). The sensor (114, 116, 118, 212, 330) systems are usable to determine volumetric flow rates and electrical conductivity and permittivity of feed solution (102, 248) before and after being provided to one or more plants, thereby providing data indicating plant development and growth conditions.

The plant management apparatus may include a determination unit that determines a harvest time of the plant based on prediction information indicating at least one of a predicted market price or a predicted demand of the plant. The plant management apparatus may include an environment control unit that controls an environment control device for controlling an environment in a plant workshop in which a plant is cultivated such that the plant can be harvested at a harvest time. The determination unit may determine the time point at which the predicted market price is the highest within the target period as the harvest time of the plant.

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.

The invention provides an NbCYP707A4 gene and application of the NbCYP707A4 gene in hydrangea leaf spot indicating plants, and belongs to the technical field of gene engineering and plant cultivation. Research finds that the NbCYP707A4 gene is a leaf spot resistant key gene of tobacco, and after the gene is knocked out through a CRISPR / Cas9 gene knockout technology, tobacco highly susceptible to corynespora leaf spot can be prepared; the corynespora leaf spot high-susceptibility tobacco can be used as an indicator plant for the hydrangea leaf spot, can timely predict and prevent occurrence of the hydrangea leaf spot, reduces economic loss, reduces hydrangea production cost, relieves environmental pollution caused by excessive application of pesticide, and has important significance on hydrangea and other horticultural crops. And the practicability is high.

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