1856 results about "Plant disease" patented technology

The present invention relates to the technical field of agricultural information, and specifically to a plant factory information automatic acquisition method and system based on unmanned aerial vehicle machine vision. The method comprises the following steps: using a camera mounted on an unmanned aerial vehicle to capture an image, and using a deep learning and image segmentation technology to generate a plant region segmentation image. According to the present invention, the unmanned aerial vehicle is used to carry the camera to capture a plant image, and efficient and accurate plant region segmentation is realized by using the deep learning technology. A plant health assessment report is generated by means of a computer vision technology, and a health problem is early warned. A plant health analysis report comprehensively considering environmental factors is generated on the basis of ground sensor data and time series analysis, and comprehensive and accurate health assessment is provided. A multi-dimensional plant health monitoring model provides support for all-round health monitoring. A plant disease nutrition analysis report is generated on the basis of a machine learning classification algorithm, a problem is accurately recognized, and a fertilization and pesticide-spraying strategy is formulated on the basis of a decision support system, thereby optimizing resource utilization, and improving the yield and quality.

The invention relates to paenibacillus polymyxa FangSG106 as well as application, a product and a method thereof, and belongs to the technical field of microorganisms. The invention provides paenibacillus polymyxa FangSG106, the preservation number of the paenibacillus polymyxa FangSG106 is CGMCC (China General Microbiological Culture Collection Center) No.31655. The invention also provides application of the paenibacillus polymyxa FangSG106 with the preservation number of CGMCC No.31655 in the aspects of non-treatment-destination bacteriostasis, plant disease prevention and treatment and plant growth promotion, and based on the paenibacillus polymyxa FangSG106, the application of the paenibacillus polymyxa FangSG106 in the aspects of non-treatment-destination bacteriostasis, plant disease prevention and treatment and plant growth promotion is The invention provides a plant growth promoter, a biopesticide, a method for preventing and treating plant diseases, a method for promoting plant growth and a bacteriostasis method. The paenibacillus polymyxa FangSG106 disclosed by the invention has broad-spectrum antibacterial activity, and can be used for effectively preventing and treating plant diseases and promoting plant growth.

The invention relates to the technical field of green plant image recognition, in particular to a green plant disease recognition and early warning management system and method. The method comprises the following steps: acquiring a high-definition image of a green plant; performing image preprocessing on the green plant high-definition image to generate a standard green plant high-definition image; performing green plant part image segmentation and integration on the standard green plant high-definition image to obtain a standard green plant part image; performing part multi-dimensional disease feature extraction on the standard green plant part image to obtain green plant part multi-dimensional disease features; performing scab area identification on the standard green plant part image based on the multi-dimensional disease features of the green plant part to generate scab area identification data of the green plant part; and performing green plant disease type discrimination on the standard green plant part image according to the green plant part scab area identification data to generate green plant disease type discrimination data. According to the method, high-definition image processing, multi-dimensional feature extraction, propagation trend analysis and dynamic early warning are introduced, so that the accuracy and reaction time sequence of green plant disease recognition early warning are improved.

The invention discloses a plant disease and insect pest early warning method and system based on plant monitoring, and belongs to the field of plant disease and insect pest early warning, and the method comprises the steps: extracting the contour of a lesion region through an edge detection algorithm, carrying out the smoothing of the contour through the combination of morphological operation, and obtaining a more precise lesion region boundary; according to an image segmentation result and a disease type identification result, a plant health condition evaluation model is established, and the plant damage degree is quantified; environmental data and image data are acquired from a plurality of sensor nodes distributed in a field, and the data are gathered to a regional gateway through wireless transmission; carrying out preprocessing and feature extraction on the converged heterogeneous data in a regional gateway, removing noise data and redundant information, and extracting key features; and carrying out pest detection and counting on the preprocessed image by using a deep learning model, carrying out modeling on a pest number change trend, predicting population density change in a period of time in the future in combination with environmental factors, and generating a detection result.

The invention discloses a grape disease recognition and early warning method based on the Internet of Things, and relates to the technical field of plant disease recognition, image acquisition equipment and environment sensing nodes are arranged in a vineyard, and leaf images and corresponding temperature and humidity, illumination and soil moisture parameters are obtained; inputting the image into a neural network fusing dilated convolution and a residual attention mechanism, realizing extraction of a disease spot region and a disease spot variation feature, and generating a preliminary recognition result; constructing a multi-factor evolution sample set in combination with the recognition result and the environment state of the time node; constructing a space-time correlation graph model based on a graph neural network, estimating a disease propagation risk path and a diffusion probability, and performing early warning judgment at a gateway end through a multi-factor gating discrimination algorithm; the method disclosed by the invention is high in recognition precision and strong in response timeliness, has adaptive prediction and targeted treatment capabilities, and remarkably improves the intelligence and precision level of grape disease management.

The invention discloses a plant pesticide application management method and system based on an intelligent decision-making system. The method comprises the following steps: dividing a target farmland into a plurality of sub-regions, constructing a plant disease and insect pest recognition model by using an image processing algorithm, recognizing disease and insect pests of each sub-region, and generating a recognition result. And then analyzing an identification result based on a clustering algorithm, and determining a pest distribution area. A pesticide application decision-making system is established, a pesticide application scheme of the unmanned aerial vehicle is formulated, influences under different moving speeds and environment wind conditions are analyzed in combination with historical pesticide drift data, and finally the pesticide application scheme is optimized according to real-time environment data. The method can effectively reduce the pesticide consumption, reduce the environmental influence and improve the health level of crops.

The invention discloses bacillus velezensis GX0003742 and biocontrol application thereof, and belongs to the technical field of microorganism application. The invention discloses bacillus velezensis GX0003742 with a broad-spectrum bacteriostatic effect, which is preserved in the China General Microbiological Culture Collection Center, the preservation address is No.3, No.1 yard, Beichen West Road, Chaoyang District, Beijing, the preservation date is September 14, 2024, and the preservation number is CGMCC No.31981. The bacillus velezensis GX0003742 has the advantages that the bacillus velezensis GX0003742 can be used for preparing the bacillus velezensis GX0003742; the strain can obviously inhibit growth of colletotrichum basjoo mycelia and obviously reduce occurrence of postharvest diseases of bananas, has an inhibiting effect on various pathogenic bacteria, has a good insecticidal effect on auricular bean root-knot nematode, and provides a new strain resource for biological prevention and control of plant diseases.

The invention relates to bacillus velezensis SMB1 and application thereof in prevention and treatment of plant diseases, and belongs to the technical field of biological prevention and treatment of plant diseases. The strain is preserved in the China Center for Type Culture Collection on November 27, 2024, the preservation address is Luojia mountain, Luojia mountain, eight road, Wuchang District, Wuhan City, Hubei Province, and the preservation number is CCTCC NO: M20242647. The bacillus velezensis SMB1 provided by the invention has a remarkable bacteriostatic effect on plant pathogenic fungi, plant pathogenic oomycetes, plant pathogenic bacteria and animal pathogenic bacteria, has an extremely good broad-spectrum bacteriostatic function, has a great application potential in biological control of plant diseases, can reduce the use of chemical pesticides, and has a good application prospect. The pesticide residue in agricultural products is reduced, the environment is protected, and the urgent demand on pollution-free agricultural product production at present is met.

The invention discloses a broad-spectrum biocontrol strain water bacillus barren ZG18 and application thereof, and belongs to the technical field of plant disease control, and the broad-spectrum biocontrol strain water bacillus barren ZG18 is characterized in that the water bacillus barren ZG18 is water bacillus barren and is preserved in the China General Microbiological Culture Collection Center, and the preservation number of the water bacillus barren ZG18 is CGMCC (China General Microbiological Culture Collection Center). The preservation address is No.3, Yard 1, Beichen West Road, Chaoyang District, Beijing, China; the preservation date is September 6, 2024; the preservation number is CGMCC (China General Microbiological Culture Collection Center) The biocontrol bacterium strain disclosed by the invention has a relatively strong inhibition effect on pathogenic fusarium sporotrichum, fusarium graminearum, botrytis cinerea, rhizoctonia solani and corticosis cucurbitae, the prevention and treatment effect of the strain ZG18 on tobacco target leaf spot reaches up to 51.34%, the prevention and treatment effect of the strain ZG18 on tobacco damping-off in a pot experiment is 65.91%, and the strain ZG18 has a promoting effect on tobacco growth.

The invention provides a Pseudomonas protegens P150 strain and an application of the Pseudomonas protegens P150 strain, and belongs to the technical field of biocontrol bacteria. The defensive pseudomonas P150 is preserved in the China General Microbiological Culture Collection Center (CGMCC), the preservation number is CGMCC No.34520, the preservation time is May 13, 2025, and the preservation address is No.3, Yard 1, Beichen West Road, Chaoyang District, Beijing. The defensive pseudomonas P150 disclosed by the invention has the effects of inhibiting various pathogenic bacteria, producing enzymes, promoting growth and preventing and treating tomato bacterial wilt and soybean pustule. The microbial inoculum prepared by adopting the biocontrol bacterium can reduce the dosage of chemical pesticides and the prevention and control cost of plant diseases, is green and pollution-free, can be used for preventing and controlling tomato bacterial wilt and soybean pustule, and has a relatively good popularization value.

The invention provides a salt-alkali-tolerant endophytic bacillus subtilis strain and application thereof in improvement of saline-alkali soil, and belongs to the technical field of biological bacteria. According to the invention, a salt and alkali tolerant endophytic bacillus strain NXO3 is obtained from stems and leaves of suaeda salsa, and is identified as bacillus subtilis (bacillus subtilis); the strain has the capabilities of dissolving phosphorus, fixing nitrogen and generating indoleacetic acid (IAA) and polyglutamic acid, and has a remarkable inhibition effect on a plurality of plant pathogenic bacteria such as fusarium neosporum, colletotrichum gloeosporioides, fusarium graminearum, fusarium oxysporum and cavity microsporum. The agricultural microbial agent containing 0.3 billion / g of NXO3 is prepared through formula optimization. The bacillus subtilis NXO3 has a remarkable saline-alkaline tolerance function, a plant growth promoting effect and a biocontrol effect on plant diseases, and the emergence rate and the yield of crops in saline-alkaline land can be increased.

The invention discloses bacillus velezensis capable of tolerating various environmental pollution and promoting growth and application of the bacillus velezensis. A plant endophyte bacillus velezensis L381 strain is identified in wild rice, and the strain is high in environmental adaptability, can grow in the environment with the temperature of 15-40 DEG C and the pH value of 5-8, and can tolerate the NaCl concentration of 4%; the rice growth promoting agent has a good growth promoting function, can secrete auxin IAA, solubilize phosphorus, dissolve potassium and secrete siderophores, and can effectively promote rice growth. Meanwhile, the strain has stress resistance to environmental stress such as heavy metals and antibiotics, and tetracycline can be degraded; the strain has a wide antibacterial spectrum, and can be used as a biocontrol bacterium for preventing and treating various plant diseases. The plant endophyte L381 can adapt to variable temperature conditions and variable soil environments in the natural environment, has very strong practical application potential, not only improves the functions of bacillus velezensis, but also widens the application range of the strain.

The invention discloses a plant disease and insect pest detection device and method based on unmanned aerial vehicle high-altitude texture imaging, and belongs to the technical field of intelligent agriculture. The plant disease and insect pest detection device comprises an unmanned aerial vehicle body, a holder, a high-altitude texture camera and a small host; the high-altitude texture camera is arranged below the holder, the holder is arranged below the small host, the small host is arranged below the unmanned aerial vehicle main body, the unmanned aerial vehicle main body is provided with a front high-definition camera, a battery and an illumination sensor, and the high-altitude texture camera is wirelessly provided with a handle and a flight remote controller through Bluetooth; according to the plant disease and insect pest detection method, high-precision recognition of disease and insect pests is achieved on the basis of high-altitude texture feature fusion in combination with an environment perception driven data enhancement module, a self-adaptive multi-scale image convolution feature extraction and fusion module and a disease and insect pest area attention fusion module. The technology effectively supports precise detection of diseases and insect pests in agricultural production, and provides a scientific basis for agricultural management and pesticide application.

The invention discloses a plant disease detection method based on an improved YOLOv8n network, and the method comprises the steps: optimizing a backbone network and a detection head network of the YOLOv8n network based on a DRGhostConv module and an efficient channel attention module for a to-be-detected plant disease image, and employing a multi-scale space attention module as a neck network of the optimized YOLOv8n network, a plant disease detection model is constructed and obtained, the public data set is used as input of the plant disease detection model for training and testing, parameters of the plant disease detection model are updated with minimization of a CIoU loss function as a target, and the trained plant disease detection model is obtained; and identifying and positioning the to-be-detected plant disease image based on the trained plant disease detection model to obtain a disease detection result of the to-be-detected plant disease image. According to the method, the lightweight design of the model is realized while the detection precision is ensured, and the real-time detection capability on resource-constrained equipment is improved.

The invention relates to the technical field of disease and insect pest early warning, and discloses a big data-based seed industry disease and insect pest early warning method and system, and the method comprises the steps: obtaining environment sound data and leaf image data; performing scab extraction according to the leaf image data to obtain scab morphological characteristics; performing feature extraction according to the environment sound data to obtain pest sound features; matching according to the scab morphological characteristics and the pest sound characteristics in combination with a pre-stored pest disease database to obtain a pest type and a disease type; performing matching degree calculation according to the pest type and the disease type to obtain a pest and disease matching degree; and carrying out damage assessment according to the pest disease matching degree and a preset matching degree threshold value to obtain a disease assessment result. The method has the following effect that the accuracy of early warning of plant diseases and insect pests in the seed industry can be improved.

The present invention discloses a mutant strain of Streptomyces parvum and its application in producing glutathione, belonging to the field of genetic engineering. The present invention successfully constructs a mutant strain of Streptomyces parvum by overexpressing the glnA gene in Streptomyces parvum; wherein the nucleotide sequence of the glnA gene is shown in SEQ ID NO: 1. Experiments have shown that compared with the wild-type Streptomyces parvum, the mutant strain of Streptomyces parvum can significantly increase the content of glutathione and glucose in the fermentation product, and can also improve the utilization efficiency of ammonia nitrogen during the fermentation process. The present invention provides new strain resources and methods for mass production of bacterial-derived glutathione, and provides new agricultural antibiotic resources and strategies for preventing and controlling a variety of plant diseases.

A data-centric system for analyzing agricultural crops, consisting of: a data acquisition module configured to capture images of agricultural fields using cameras, unmanned aerial vehicles (UAVs) or sensors, with the sensors collecting data on soil moisture, temperature, light, humidity and pH; a data preprocessing module configured to: resize the acquired images to a standardized dimension suitable for input to a deep learning model; apply noise reduction using a Gaussian filter; improve image contrast through histogram equalization; and perform image magnification through rotation, reflection, and scaling transformations; a feature engineering module configured to extract the following features: color features, which include color histograms, mean, and standard deviation of color channels; texture features using Gray-Level Co-occurrence Matrix (GLCM) properties, which include contrast, dissimilarity, homogeneity, energy, angular moment (ASM), and correlation; shape features, which include contour area, perimeter, aspect ratio, and roundness; and other features, which include the green pixel ratio and edge density; a classification module configured to: implement deep learning-based classification models selected from the group consisting of Support Vector Machine (SVM), Artificial Neural Network (ANN), Convolutional Neural Network (CNN), ResNet18, Random Forest (RF), SegNet, VGGNet, Naive Bayes (NBG), Decision Tree (DT), K-Nearest Neighbors (KNN), and DeepLab; detecting and classifying weed species in the images of agricultural fields; and diagnosing plant diseases based on the features extracted from the images of agricultural fields; an output module comprises a user interface configured to display the classification and recognition results; and a recommendation module configured to suggest treatment solutions for diagnosed plant diseases through the output module's user interface.

The invention belongs to the technical field of plant disease control, and particularly relates to bacillus velezensis and application thereof. The bacillus velezensis strain is separated and screened from rhizosphere soil of wheat in a main wheat area in Hebei Province, the growth characteristics and physiological and biochemical characteristics of the bacterial colony are identified, then 16S rDNA sequencing is carried out, Blast homology comparison is carried out in a GenBank database, the bacterial strain is identified to be bacillus velezensis through the analysis, and the bacillus velezensis strain is identified to be bacillus velezensis. The fungicide containing the bacillus velezensis has a good prevention and treatment effect on wheat stem rot through seed coating.

Provided in the present invention is a plum brown rot early warning method fusing phenological and microenvironmental sensing. The method comprises: by defining the processes and stages of occurrence and evolution of specific plant diseases and insect pests, establishing the probability relationship between evolution stages of plum brown rot and occurrence times and durations thereof, and establishing a host phenological stage determination model (sub-model 1) of plum brown rot; determining the microenvironmental conditions and durations for the occurrence and evolution stages of plum brown rot; establishing a state transfer model; accessing monitoring data; calibrating and correcting model parameters; and performing model-based prediction and early warning. All of the seven steps are used for predicting the infection probability (risk) of plum brown rot. The described method establishes an artificial intelligence based AI early warning monitoring, so as to perform on-line automatic monitoring on the microenvironmental dependence conditions of the occurrence and evolution stages of plum brown rot, thus providing early warning in advance, pushing alarm information, and guiding targeted prevention and control in early stages.

The invention discloses bacillus subtilis Gxunw-30 and application thereof, and belongs to the technical field of agricultural microorganisms. The bacillus subtilis Gxunw-30 provided by the invention is preserved in Guangdong Microbial Culture Collection Center on October 12, 2024, and the preservation number of the bacillus subtilis Gxunw-30 is GDMCC No: 65245. The bacillus subtilis Gxunw-30 provided by the invention has the capability of inhibiting plant pathogens in a broad spectrum, and can be used for antagonizing a variety of plant pathogens such as helminthosporium triticum, trichosporon pseudoacaceae, hechiense fusarium, fusarium chlamydosporum, cryphonectria parasitica, fusarium pseudograminearum, botryosphaeria dothidea and the like. The strain has the properties of decomposing organophosphorus, producing protease, producing ammonia, producing indole and fixing nitrogen, and has the biological properties of plant growth promotion and the like. The recombinant bacterium also contains a gene for coding an antibacterial substance, and has the capability of synthesizing the antibacterial peptides of iturin, surfactin, fengmycin and bacilysin, and the recombinant bacterium also contains a gene for coding the antibacterial substance and has the capability of synthesizing the antibacterial peptides of iturin, surfactin, fengmycin and bacilysin. The strain has the effects of preventing diseases and promoting growth, provides a good biocontrol resource for prevention and treatment of plant diseases, and has a relatively good application value for research and development of plant growth-promoting preparations and biocontrol microbial agents.

The invention belongs to the technical field of medicinal chemistry, and particularly relates to quinolinone compounds, a preparation method and application of the quinolinone compounds in prevention and treatment of plant diseases. Compared with the prior art, the quinolinone compound is synthesized and applied to plant disease control, and the technical problem that the bacterial disease treatment effect of a chemical bactericide is reduced due to the fact that the resistance of original bacteria to the bactericide is enhanced in the plant bacterial disease treatment process is solved.

The invention belongs to the field of microorganisms, and relates to a bacillus velezensis BLS-27 and a fungicide and application thereof, the bacillus velezensis BLS-27 is preserved in China General Microbiological Culture Collection Center on October 21, 2024, the preservation number is CGMCC No.32274, and the preservation address is No.3, Yard 1, Beichen West Road, Chaoyang District, Beijing. The strain BLS-27 has an inhibition effect on wild jujube anthracnose pathogenic bacteria, can effectively inhibit various plant disease pathogenic bacteria, shows broad-spectrum antibacterial activity, is environment-friendly and can be widely applied to plant disease control.

The invention provides a novel strain M2108 of a salt-tolerant bacillus, the preservation number of the salt-tolerant bacillus is CGMCC (China General Microbiological Culture Collection Center) No.28283, and the novel strain M2108 of the salt-tolerant bacillus has relatively good salt tolerance and can grow and proliferate in a high-salt environment; the strain can be rapidly and stably colonized in a plant, and is rapid in propagation speed and strong in multiplication capacity in the plant. The new strain M2108 of the salt-tolerant bacillus provided by the invention has a treatment effect and a high control effect on various plant diseases: the control effect on diseases such as tomato root rot, damping-off and damping-off caused by fusarium oxysporum, pythium aphanidermatum and rhizoctonia solani is high, and the average control effect is 91.2% or above. When being used for preventing and treating plant diseases, the salt-tolerant bacillus M2108 is not easy to generate drug resistance, has good drug effect durability, is safe to human and livestock, and does not cause environmental pollution; the salt-tolerant bacillus M2108 microbial agent and the biocontrol agent provided by the invention are simple in preparation method, low in cost and simple and convenient to use. The salt-tolerant bacillus M2108 has a good application prospect in the prevention and control of plant diseases, and lays a foundation for the development of efficient and broad-spectrum biocontrol preparations.

The invention discloses a paenibacillus kribbensis spaceflight mutant strain and application of the paenibacillus kribbensis spaceflight mutant strain in preparation of nano-selenium. According to the invention, a paenibacillus kribbensis PS04-2 strain is obtained through space mutation, and the strain has high selenite reducing capacity and can tolerate high-concentration selenite, and the tolerable concentration exceeds 1000mM; the method has the capacity of efficiently converting sodium selenite to generate nano-selenium, the synthesized nano-selenium is high in conversion rate and uniform in nano-selenium particle, and the provided preparation method is simple, convenient, low in cost, high in product purity and environmentally friendly. The nano-selenium synthesized by the PS04-2 strain has a good antagonistic effect on various plant pathogenic fungi, can prevent and treat various plant diseases, and can be used for developing more selenium-enriched microbial preparations. Meanwhile, nano-selenium synthesized by the PS04-2 strain is used for sesame production, so that sesame growth can be promoted, selenium-rich sesame can be obtained, and more effective methods are provided for increasing the selenium content of crops.

The invention belongs to the field of biological prevention and control of plant diseases, and particularly discloses a biocontrol bacterium bacillus velezensis and application thereof in preparation of a biocontrol inoculant for preventing and controlling pepper phytophthora blight, the strain is bacillus velezensis Y426-7, is preserved in China General Microbiological Culture Collection Center (CGMCC) on September 23, 2024, and has the preservation number of CGMCC NO.32041, and the preservation number is CGMCC NO.32041. The biocontrol bacterium is bacillus velezensis Y426-7. The bacillus velezensis is preserved in No. 3, Yard 1, Beichen West Road, Chaoyang District, Beijing, and can be used for preparing a biocontrol inoculant for preventing and treating pepper phytophthora blight. Compared with the prior art, the bacillus velezensis Y426-7 obtained by the invention has an obvious antibacterial effect on phytophthora capsici and various crop phytophthora blight bacteria under an indoor in-vitro condition; furthermore, the 2.5 * 10 < 9 > CFU / g wettable powder prepared from the bacillus velezensis Y426-7 has a relatively good prevention and treatment effect and a certain yield increasing effect on the pepper phytophthora blight in the field.

Burkholderia, and a composition, use and usage method thereof. Provided are the Burkholderia, and a composition comprising the strain and / or a metabolite, culture, fermentation broth and / or extract thereof. The Burkholderia or the composition thereof can generate a siderophore, induce plants or seeds thereof to generate systemic resistance to plant pathogens, and reduce the chemotaxis of plant pathogens to plants, so that prevention and treatment of plant diseases and insect pests are achieved. In addition, plant root system development can be promoted, a nitrogen fixation effect is provided, a phosphate solubilization effect is provided, indoleacetic acid is generated, and weeds are removed, thereby promoting plant growth.

The invention discloses a complex microbial inoculant for promoting growth of leguminous plants and application of the complex microbial inoculant, and relates to the technical field of fertilizers and biologication.The complex microbial inoculant is prepared from 25-35 parts of a microbial inoculant, 10-20 parts of a biological active agent, 10-15 parts of a biological activator and 30-55 parts of water. The endophyte 3G1 which is screened and separated from rice seeds and can promote the growth of leguminous roots can be completely and successfully planted in plants by utilizing the effects of preventing and treating plant diseases and / or promoting plant growth of microorganisms, and the growth of the plants is directly influenced; in combination with the functions of low temperature resistance, plant disease resistance and the like of other complex microbial inoculants, the compound microbial inoculants have growth promoting and disease preventing effects on leguminous plants; the biological active agent is lipopeptide, so that the spreading performance of plant leaves can be improved, the absorption of the complex microbial inoculant is promoted, the activity of the microbial inoculant is improved, and the crop yield is promoted to be increased by 3%; the biological activator can provide trace elements in the plant growth process, and is matched with the complex microbial inoculants for use, so that the growth of crop seedlings can be effectively promoted, the stress resistance of the crop seedlings is improved, and the transplanting survival rate of the seedlings reaches up to 98%.

Disclosed aspects relate to systems and methods for assisting farmers with crop management. For example, systems may be configured to estimate crop damage, identify plant disease, estimate plant disease severity, and / or identify weeds. In some aspects, automated systems may process images of an area having crops, for example using one or more crop model. The models may identify one or more property of the crop, which can be used to better manage crops.

The invention belongs to the technical field of garden irrigation, and particularly discloses a garden landscape intelligent irrigation management system which comprises a sensing layer, a transmission layer, a platform layer and an execution layer. The sensing layer is used for collecting garden environment and plant related data; the transmission layer is used for transmitting the data acquired by the sensing layer to the platform layer; the platform layer is used for realizing data visualization, intelligent decision generation and equipment control; the execution layer executes irrigation operation according to an instruction of the platform layer; according to the system, through accurate monitoring and intelligent control, water resource waste and irrigation cost are effectively reduced. Manual inspection and operation workloads are reduced through automatic operation, one administrator can manage thousands of mu of gardens, and the management efficiency is improved. The risk of plant diseases and insect pests can be reduced through on-demand irrigation, and the stability and attractiveness of the garden landscape effect are kept. The environment, irrigation and plant growth data accumulated by the system provides a scientific decision basis for garden maintenance, and is convenient for long-term planning and management strategy optimization.

The invention provides a forest cultivation disease and pest early warning method combined with multi-source data analysis, and relates to the technical field of disease and pest early warning, and the method comprises the steps: determining a disease and pest type list and a disease and pest distribution position weight list of a preset forest cultivation region; classifying the plant disease and insect pest type list according to the diffusion mode of plant diseases and insect pests in vegetation; determining activity areas of various types of diseases and insect pests in the first type of disease and insect pest list and the second type of disease and insect pest list; a first monitoring data set is collected, vegetation internal damage features are analyzed, and a first diffusion situation list is generated; vegetation surface damage features are analyzed, and a second diffusion situation list is generated; and according to the first diffusion situation list and the second diffusion situation list, carrying out disease and pest early warning. The technical problem of high difficulty in multi-sensor data fusion in the prior art can be solved, efficient fusion and accurate analysis of the multi-sensor data are realized, and the technical effect of improving the disease and pest monitoring precision is achieved.