33 results about "Insect pest management" patented technology

The invention relates to the technical field of self-adaptive control, in particular to a tobacco field variable fertilization control system and method, and the system comprises a sensing data collection module which collects soil humidity data through a soil humidity sensor, monitors the growth data of crops at the same time, and carries out the synthesis to obtain real-time soil and growth data; and performing time sequence analysis on the real-time soil and growth data, identifying a data trend and an abnormal point, and generating a trend analysis result. According to the method, the soil humidity and the crop growth data are collected, and the time sequence analysis is combined, so that the trend and the abnormality are quickly identified, and the prediction accuracy is improved. The convolutional neural network is used for carrying out recognition and probability evaluation on diseases and insect pests, so that disease and insect pest management is more accurate, and response is quicker. Through the technologies, the system can dynamically adjust irrigation parameters based on real-time data, optimize water distribution, and ensure that an irrigation strategy is perfectly matched with crop requirements and potential risks.

The invention discloses a traditional Chinese medicinal material standard base pest and disease damage intelligent monitoring and precise control method and control system, and relates to the technical field of agricultural intelligence. The Internet of Things technology, the block chain and the artificial intelligence algorithm are integrated to improve monitoring accuracy and prevention timeliness, environment and plant states are acquired through the sensor and image data, safe storage of data is ensured by using the block chain, early recognition of diseases and pests is performed by using the convolutional neural network, and the accuracy of disease and pest control is improved. A disease risk index is calculated in combination with environmental parameters, a reinforcement learning algorithm dynamically optimizes a control strategy, control measures are automatically executed through Internet of Things equipment, an execution result is recorded on a block chain, in addition, the strategy is continuously adjusted according to a control effect evaluation result, intelligent and precise disease and pest management is realized, resource consumption is effectively reduced, and the economic benefit is improved. The traditional Chinese medicinal material production safety and efficiency are improved.

The invention discloses a forestry pest and disease damage intelligent monitoring and early warning system based on the Internet of Things, and relates to the technical field of pest and disease damage management. The forestry pest and disease damage intelligent monitoring and early warning system based on the Internet of Things comprises a data acquisition module used for collecting an environment characteristic data set in real time; the preprocessing module is used for carrying out data vectorization, data cleaning, data synchronization and data standardization processing on the environment characteristic data set collected in real time; the transmission module is used for selecting an optimal data transmission path for data transmission according to the node state analysis result; and the abnormity checking module is used for carrying out data abnormity detection on the real-time environment characteristic data set transmitted by the transmission module. The problem that in an existing forestry pest and disease damage intelligent monitoring and early warning system based on the Internet of Things in the field environment, equipment may be interfered by non-pest and disease damage factors, a sensor may be touched by mistake, and false alarm is caused is solved.

The invention provides an apple orchard pest and disease damage intelligent monitoring and early warning robot, and relates to the technical field of artificial intelligence. The apple orchard pest and disease damage intelligent monitoring and early warning robot comprises a power supply module, a pest luring and capturing module, a data processing and analyzing module, a data transmission and communication module, a walking and navigation module, a user interface and control module and an image acquisition and processing module. Identification, counting, monitoring and early warning and knowledge questioning and answering of diseases and insect pests are realized. The apple orchard pest and disease damage intelligent monitoring and early warning robot provided by the invention realizes efficient, accurate and real-time pest and disease damage monitoring and early warning of the apple orchard, and improves the automation level and the intelligent degree of apple orchard pest and disease damage management.

The present invention provides an intelligent pest monitoring and early warning robot for apple orchards, which relates to the field of artificial intelligence technology. The robot comprises a power module, a pest attraction and capture module, a data processing and analysis module, a data transmission and communication module, a travel and navigation module, a user interface and control module, and an image acquisition and processing module. The robot is capable of trapping pests in apple orchards, identifying and counting pests, monitoring and early warning, and answering questions. The robot achieves efficient, accurate, and real-time pest monitoring and early warning in apple orchards, improving the automation and intelligence level of pest management in apple orchards.

The invention relates to the technical field of pest control, and discloses a photovoltaic tea garden pest occurrence forecasting system and method. According to the system and the method, by integrating a tea garden environment data acquisition unit, a data preprocessing unit, a tea garden environment data analysis unit, a pest and disease damage forecasting unit and a result visualization unit, data of various environment factors including illumination, wind speed, rainfall, temperature, soil humidity, soil PH value, nutrient content and the like can be automatically acquired and analyzed; dependence on manual inspection and experience judgment is reduced, farmers do not need to have professional tea tree planting knowledge any more and do not need to carry out tedious detailed inspection on each tea tree, and therefore labor cost and time cost are greatly reduced, occurrence of diseases and insect pests can be detected and early warned in time through an advanced processing and analysis algorithm, and the disease and insect pests are prevented from being damaged. Accurate and comprehensive monitoring of disease conditions of all tea trees in a tea garden is ensured, the efficiency of disease and pest management is improved, and the loss risk is reduced.

The invention provides an under-forest ecological allium victorialis planting method and application, and the method comprises the following steps: after gibberellin treatment and low-temperature sand storage germination acceleration of seeds, sowing and seedling raising are performed in an under-forest or sunshelter high bed with the canopy density of 0.3-0.5, and 2-year-old seedlings are cultivated; transplanting in early April or late September according to the line spacing of 15 cm and the plant spacing of 4-6 cm, and cultivating to obtain 3-4-year-old strong seedlings; then a forest stand with the canopy density of 0.5-0.7 is selected, and field planting is conducted according to the line spacing of 20-30 cm and the plant spacing of 15-30 cm; through intertillage weeding, fertilization and pest and disease management, seedlings are harvested by adopting a three-year ring harvesting method or tender leaves are harvested by adopting a leaf breaking method. According to the method, the problems of low emergence rate, unstable yield, uneven quality and the like caused by direct planting in a wild environment are effectively solved, high-quality, stable-yield and efficient production of allium victorialis is realized, and a reliable mode is provided for utilization of northern forests and development of under-forest economy.

The present invention discloses a self-propelled potato planter, comprising: a device support, an engine mounted on the top of the device support, and a gear reduction box mounted on the engine. The self-propelled potato planter provided by the present invention places potatoes of different sizes in a large seed box, places potatoes of similar target sowing size in a small seed box, rotates an inner gear ring, and drives an adjustment plate to slide inside a restriction shell, thereby adjusting the size of the space at the bottom of the seed scoop, so that relatively small potatoes can pass through the seed scoop without being sown, while relatively large potatoes can be passed for sowing. Subsequently, the empty seed scoops will be replanted by a replanting mechanism, ultimately achieving a moderate size of potato sowing in the same area. Since potatoes of similar size have similar growth requirements and development processes, subsequent fertilization, irrigation, and pest and disease management of the potatoes are more effective, thereby improving the final potato yield.

The artificial reef for repairing the eucheuma comprises a base, a supporting frame, a frame shaped like a Chinese character'tian ', a mesh and a jacking mechanism, the jacking mechanism comprises an electric push rod, a normally-open button, a metal block, a spring, an electromagnet and a battery pack, the frame shaped like the Chinese character'tian' is supported through the supporting frame, the mesh arranged on the frame can be used for binding the eucheuma, and the jacking mechanism is used for jacking the eucheuma. An output shaft of the electric push rod can extend upwards and extend into a groove of the frame shaped like the Chinese character'tian ', so that the normally open button is triggered to be in a closed state, at the moment, the electromagnet magnetically attracts the metal block after receiving electric energy of the battery pack, and the metal block leaves from the limiting groove and retracts into the storage groove; the frame shaped like the Chinese character'tian 'can be moved to the upper portion of the base so that workers can check, trim and manage diseases and pests of the eucheuma conveniently, meanwhile, the electric push rod can support a new frame shaped like the Chinese character'tian' so that binding of the eucheuma can be facilitated, and the planting and repairing efficiency can be improved.

The invention provides a facility cultivation method for improving yield and fragrance of pandanus amarus. The facility cultivation method comprises the following steps: selecting an area of which the annual average temperature is higher than 20 DEG C, the lowest temperature is higher than 0 DEG C and the time is continuously lower than 10 DEG C for less than 10 days as a planting area; selecting a land parcel which is deep in soil layer, loose in structure, rich in organic matters and good in water retention and irrigation and drainage conditions in the planting area as a planting land; building a shading facility by adopting a steel frame structure or a cement column; selecting pandan seedlings of 10-20 cm as seedlings, and performing field planting; water and fertilizer management, plant management, pest and disease management, overwintering management and leaf quality management are carried out in the planting period; when the seedlings grow to a harvesting period, cutting off external leaves, only retaining 5-7 internal leaves, and performing harvesting management in different months of each year. According to the method, the planting area of the pandanus crispus is expanded, and the problems that traditional pandanus crispus planting depends on under-forest intercropping, and shading is unstable are solved through the facility cultivation method.

The present invention relates to the field of adaptive control technology, and specifically to a variable fertilization control system and method for tobacco fields. The system includes: an induction data acquisition module that collects soil humidity data through soil humidity sensors, monitors the growth data of crops at the same time, and synthesizes real-time soil and growth data; performs time series analysis on the real-time soil and growth data, identifies data trends and outliers, and generates trend analysis results. In the present invention, soil humidity and crop growth data are collected, combined with time series analysis, to achieve rapid identification of trends and anomalies, improving the accuracy of prediction. A convolutional neural network is used to identify and probabilistically evaluate pests and diseases, making pest and disease management more precise and the response more rapid. Through these technologies, the system can dynamically adjust irrigation parameters based on real-time data, optimize water distribution, and ensure that the irrigation strategy perfectly matches crop needs and potential risks.

The invention discloses a method for preventing and treating Chinese rose insect pests by using a spectrum period, which is characterized in that a blue LED lamp, a purple LED lamp and a sulfur plasma lamp are utilized to respectively irradiate Chinese rose plants, high-frequency and low-frequency sound waves are matched to oscillate Chinese roses, the Chinese rose insect pests are effectively prevented and treated by selecting a proper spectrum combination, and target insect pests can be accurately prevented and treated. Meanwhile, the arranged lamplight can meet the illumination requirement of garden landscapes, the garden maintenance cost is reduced, the huge application potential is shown in the field of pest and disease damage management, and the goal of sustainable development of ecological gardens is met.

The invention discloses a multi-source data sugarcane yield precise optimization planting decision system and method. The system comprises a data input interface, a data acquisition module, a data processing module, a model construction module, a decision generation module and a result evaluation module. By automatically collecting meteorological data, soil data, remote sensing data and crop growth condition data, environmental factors of sugarcane growth are systematically and comprehensively known. The data processing module cleans, integrates and preprocesses the collected data to construct a standardized data set. The model building module adopts a machine learning algorithm, especially a random forest algorithm, to carry out data analysis and modeling so as to accurately predict the sugarcane yield. The decision generation module generates an optimized planting management decision based on the prediction result, the decision comprises planting density, a fertilization scheme, an irrigation plan and a pest and disease management strategy, has a dynamic adjustment function, and can continuously optimize the decision model according to field feedback and actual production effects.

The invention belongs to the technical field of tea-oil tree planting, discloses an efficient and stable-yield planting method for Hainan tropical tea-oil trees, and aims to solve the problems of water and soil loss, nutrient leaching, high incidence of diseases and insect pests, low pollination efficiency and the like in Hainan tropical tea-oil tree cultivation. The method is characterized by comprising the following steps: constructing a micro water collection and soil conservation system; building a polyclonal space-time coupling pollination matrix and a pollination habitat; precise nutrient management is implemented; a dynamic ventilation hybrid framework is constructed; and implementing comprehensive pest and disease management. By adopting the technical scheme, water and soil conservation, nutrient utilization, physiological resistance, pollination efficiency and yield stability of the camellia oleifera are effectively improved.

The application discloses a sugarcane cultivation method for controlling sugarcane acidification, relates to the technical field of sugarcane cultivation, and solves the problems of unstable nitrogen fixation effect and low nitrogen fixation efficiency of sugarcane. The sugarcane cultivation method comprises land preparation, ditch planting, fertilization, intertillage, soil cultivation and disease and pest management, further comprises seed dressing treatment by using a nitrogen fixation promoter during sugarcane planting, the nitrogen fixation promoter is mainly formed by mixing of symbiotic nitrogen fixation bacteria and peanut root extract; and only the base fertilizer contains nitrogen fertilizer during the whole growth cycle of the sugarcane, and the fertilizers applied in other periods do not contain nitrogen fertilizer. The application improves the infection of the symbiotic nitrogen fixation bacteria, promotes the symbiotic effectiveness of the symbiotic nitrogen fixation bacteria and the sugarcane, solves the problem of unstable nitrogen fixation effect of the symbiotic nitrogen fixation bacteria of the sugarcane, achieves efficient nitrogen fixation, less nitrogen fertilizer application and the purpose of reducing soil acidification.

The utility model relates to the technical field of insect pest management, and discloses a cross-border insect-borne infectious disease prevention and control insect catching device which comprises a device body, a fixed round block is arranged on the surface of the device body, conical meshes are formed in the surface of the fixed round block, a fixed cylinder is arranged on the surface of the bottom end of the inner side of the device body, and a connecting insertion rod is arranged on the inner side of the fixed cylinder. A collecting cylinder is arranged at the bottom end of the inner side of the device body, a collecting groove is formed in the inner side of the collecting cylinder, a lifting groove is formed in the inner side surface of the collecting cylinder, an attaching circular ring is arranged in the middle of the inner side of the collecting cylinder, an attaching cylinder is arranged on the outer side surface of the device body, and a blocking circular block is arranged on the inner side of the attaching cylinder; according to the device for preventing the birds from pecking the poisonous baits, the attaching cylinder and the device top cover are arranged, so that the device can prevent the birds from pecking the poisonous baits conveniently, the device can cut pests conveniently, and the situation that the pests escape is reduced.

The invention belongs to the field of biological medicine, and relates to a dsRNA compound auxiliary agent and a method and application thereof for preparing RNA biopesticide, BioIon18 biological ions (BI18) are used as a main material for loading dsRNA, and the loaded dsRNA shows relatively strong stability in extreme environments such as RNase A and strong ultraviolet, and can effectively prevent degradation of the dsRNA. Meanwhile, cell uptake of dsRNA can be promoted, and the effect of improving the target gene expression inhibition effect in cotton bollworm larvae is achieved. Other aspect designs of the invention include these BI18 at dsRNA drug complexes suitable for use in the field of ecology, as well as methods of inhibiting expression of target genes by administering these dsRNA drugs, e.g., for use in agricultural pest management.

The invention relates to the technical field of citrus planting, and particularly discloses a matched cultivation method of a new Nanfeng tangerine variety with high slugging degree, which comprises the following steps: establishment of an orchard, field planting of nursery stocks, soil, fertilizer and water management, shaping and pruning, flower and fruit protection, freeze injury prevention and pest and disease management. The existing bottleneck of Nanfeng tangerine orange industry development is broken through, new vitality is injected to sustainable and healthy development of the Nanfeng tangerine orange industry, the overall industrial competitiveness of Nanfeng tangerine oranges is effectively improved, high-end market requirements are met, and the method has extremely important practical significance and application value.

The utility model provides a novel rice pest repelling device, which belongs to the technical field of agricultural pest management and comprises a shaft seat, an arc-shaped plate is fixedly mounted at the bottom of the shaft seat, and an LED (light-emitting diode) lamp is arranged on the inner side of the shaft seat. By means of the integrated photovoltaic mechanism, the rotary adjusting mechanism and the smell insect expelling mechanism, multiple insect expelling effects and energy self-sufficiency are achieved, the photovoltaic mechanism utilizes solar energy to generate electricity, continuous electric power support is provided for the device, dependence on a traditional power grid is reduced, meanwhile, the concepts of environmental protection and energy saving are reflected, and the device is worthy of popularization and application. The rotation adjusting mechanism allows the device to adjust the angle and the direction according to needs, the action range of the LED lamp and the smell insect repelling mechanism is optimized, the insect repelling efficiency is improved, the smell insect repelling mechanism is combined with the LED lamp, insect pests are repelled by releasing specific chemical substances, the insect repelling effect is enhanced, and therefore the rice insect pest management efficiency is effectively improved, and the rice insect pest management cost is reduced. And the operation cost is reduced, and sustainable agricultural production can be realized.

The invention belongs to the technical field of fruit tree cultivation, and particularly relates to a container root limiting cultivation method for cocktail grapefruit. The cultivation method comprises the following steps: (1) planting grapefruit seedlings in planting containers, and arranging the planting containers according to a wide-narrow row mode; (2) performing fertilizer and water management, treetop pruning, crown control and pest and disease damage management on the seedlings of the grapefruit. According to the cultivation method, the tree vigor is controlled and water is properly controlled through plastic container root limiting cultivation, and the problems that the vigor of the grapefruit trees is vigor, the soluble solid content is generally low, and the difference of the soluble solid content every year is large due to the influence of rainfall in the current year can be solved; and the purposes of facilitating operation, reducing the cost, improving fruits and stabilizing the yield can be achieved through root-limited cultivation in the plastic container.

This invention discloses a method for tending and rejuvenating low-yield camellia forests, belonging to the field of camellia planting and management technology. The method includes the following steps: (1) Forest clearing: remove vines and weeds from the camellia forest and break up the clumps of soil; (2) Thinning and pruning: retain camellia trees of good varieties and with good growth for tending, remove all other varieties that are not suitable for growth and have poor growth, and select superior varieties for replanting in sparse areas, while pruning the camellia trees; (3) Application of rejuvenation agents: apply rejuvenation agent A and / or rejuvenation agent B to the soil around the camellia trees; (4) Post-management: manage water and fertilizer and pests and diseases of the camellia, which solves the problem of poor tending and rejuvenation effect of low-yield camellia forests.

The invention discloses a method for protecting black land by intercropping corn with green manure, and belongs to the field of agriculture, and the method comprises the following steps: (1) sowing corn and green manure in late April, with the sowing line spacing of 60-64cm and the plant spacing of 24-26cm, intercropping a line of green manure between two lines of corn, adopting a hole sowing mode with the hole spacing of 30-32cm, and carrying out watering, fertilizer supplementation and disease and pest management; (2) 10-15 days before physiological maturation of corn, a decomposition promoter A is used for irrigating roots of green manure plants, and meanwhile a decomposition promoter B is sprayed to stems of the green manure plants; and (3) after the corn is physiologically mature, picking the corn, spreading a decomposition promoting agent on the surface of the soil, crushing corn straws and green manure plants by using a ploughing machine, ploughing and returning to the field, and solving the problem that the green manure is slow in decomposition rate, so that the planting of the next crop is influenced.

A vertical cultivation system and method. The vertical cultivation system includes a vertical carousel with associated platforms that each hold a plant. The carousel moves the platforms through different levels during the daily growing cycle and the plants receive treatments at each level. The treatments include irrigation, lighting, environmental control, pest management, and deep-water culture. The movement of the carousel (e.g., its speed and rotational positioning) is controlled by a controller that receives input from sensors configured with the plants. The sensors communicate sensed readings (e.g., moisture levels) and the controller controls the carousel's movement based on the readings. When at ground level, the plants are held at a level that is ergonomic for pruning and other plant maintenance activities.

The invention relates to the technical field of wine grape disease and insect pest management, and provides a wine grape disease and insect pest management method and system. The method comprises the steps of collecting environmental parameter information of a grape planting area, constructing a pest and disease damage risk assessment model, processing the environmental parameter information based on the pest and disease damage risk assessment model, and assessing the pest and disease damage occurrence risk. When the occurrence risk of the diseases and insect pests reaches an early warning threshold value, sampling grape plants in the grape planting area, and evaluating the occurrence range of the diseases and insect pests; when the occurrence range of the plant diseases and insect pests reaches a warning threshold value, remote sensing image data of the grape planting area is collected, an inversion model is constructed, the remote sensing image data is processed based on the inversion model, and a partitioned pesticide spraying amount diagram of the grape planting area is obtained. The system is used for implementing the method. According to the invention, early warning, identification and treatment of wine grape diseases and insect pests in the front, middle and back stages can be realized.

The invention discloses a pear garden fruit tree management method based on a cloud platform, and particularly relates to the technical field of fruit tree planting management. Geographic positions, root activity indexes and soil humidity data of fruit trees are collected, and a humidity-root activity change curve is established; constructing a spatial heterogeneity model based on the curve, and generating a root activity thermodynamic diagram; identifying an active sensitive marginal area, and screening fruit trees needing key regulation; an optimal water, fertilizer and pest management strategy is matched according to fruit tree state features, an individual-level management task list is formed, tasks are pushed to corresponding terminal equipment, and differentiated intelligent management of fruit trees is achieved; the precision and automation level of fruit tree management can be improved, and the system is suitable for the fine management requirement of a large-area pear garden.

This invention belongs to the field of camellia oleifera cultivation technology and discloses a high-efficiency and stable-yield cultivation method for tropical camellia oleifera in Hainan, aiming to solve problems such as soil erosion, nutrient leaching, high incidence of pests and diseases, and low pollination efficiency in the cultivation of tropical camellia oleifera in Hainan. The method is characterized by: constructing a micro-water-conserving and soil-retaining system; creating a multiclonal spatiotemporal coupled pollination matrix and pollination habitat; implementing precise nutrient management; constructing a dynamic ventilation and photosynthetic framework; and implementing integrated pest management. By adopting the above technical solutions, this invention effectively improves soil and water conservation, nutrient utilization, physiological resistance, pollination efficiency, and yield stability of camellia oleifera.

The invention provides an intelligent cooperation method and system applied to full-process agricultural management, and relates to the technical field of agricultural intelligent management, a natural year is divided into a plurality of time periods, and the following steps are periodically executed: real-time data are collected, and the real-time data comprise a plurality of real-time detection data; respectively acquiring a standard value range of temperature and a standard value range of humidity based on historical data of the current time period; based on the historical data of the current time period, the standard value range of the temperature and the standard value range of the humidity, performing pest evaluation to obtain a single-period predicted population density; on the basis of historical data of different time periods, pest prediction is carried out based on the mathematical model through real-time detection data, and the multi-period predicted population density is obtained; and performing cooperative calculation based on the single-period predicted population density and the multi-period predicted population density to obtain an insect pest management scheme of the current time period. The method has the advantage that the reliability of pest control under intelligent monitoring can be improved.

The application discloses a cultivation method for realizing early harvesting after cold damage of bananas, and the method comprises the following steps: S1, determining whether cold damage management can be carried out, when the average air temperature is higher than 15 DEG C, cutting off the mother plant false stem and other suckers at 25-40 cm away from the ground, and uniformly spraying 200-600 mL of a pre-harvest agent around the mother plant corm; S2, spraying a pre-bud agent around the mother plant corm at 7-10 days after cutting, and covering the mother plant corm with soil, when the length of the sucker is 20-25 cm, selecting 1-2 suckers with consistent growth to be reserved; S3, water and fertilizer management; and S4, disease and pest control. Compared with the prior art, the application repairs the membrane system of the banana corm damaged due to cold damage by applying a pre-harvest agent, promotes the generation of suckers from the corm together with a pre-bud agent, reasonably applies water and fertilizer, and manages diseases and pests, so that the reserved suckers are accelerated to carry out vegetative growth and reproductive growth, so that at least 70% of bananas are harvested before November, the bananas are harvested earlier than other cold-damaged bananas, the yield is higher, and the bananas are realized to be marketed in a staggered manner.

The present application provides a method for promoting the high yield of Kyoho grapes by using a base stock and an intermediate stock combination, 1) in spring, the scion of Kyoho grapes is grafted onto the intermediate stock, and the intermediate stock is grafted onto the base stock, the intermediate stock is selected from Sakata Yoshitomo grape stock, and the base stock is selected from SO4 grape stock; 2) field management includes checking survival and grafting, shaping and pruning, soil management, fertilizer management, water management, and pest and disease management; a Sakata Yoshitomo intermediate stock variety suitable for Kyoho grafting SO4 is found, which can effectively control the tree body and regulate the relationship between vegetative growth and reproductive growth, and compared with the conventional Kyoho scion directly grafted onto SO4 stock, the flower bud flowering rate, fruit size and fruit weight are increased by 28.8%, 39.7% and 68.9%, which promotes the improvement of Kyoho fruit yield and quality; it has good grafting affinity, and the base stock, intermediate stock and Kyoho scion are grafted at the same time, shortening the grafting time by 30 days, increasing the grafting survival rate by 20%, extending the growth time by 30 days, and increasing the growth amount by more than double.

The invention discloses a high-quality operation management method for star anise trees, and belongs to the technical field of star anise tree management. The method comprises the following steps: pruning branches, namely pruning and shaping according to the growth condition of an anise tree to increase ventilation and lighting and divert nutrients to growing branches; in the spring shoot period, high-nitrogen blended fertilizer is used, the total nutrient is 40%, and the content percentage of nitrogen, phosphorus and potassium is 17-10-13; the fertilizing amount is 1.5 to 2.5 kg / plant; fertilizing in an autumn shoot period: using a low-nitrogen fertilizer with the total nutrient of 30% and the content percentage of nitrogen, phosphorus and potassium of 8-12-10; meanwhile, organic matters accounting for 10% of the total amount of the used fertilizer are added; the fertilizing amount is 2.0 to 3.0 kg / plant; managing diseases and insect pests, namely spraying pesticides for diseases and insect pests of the star anise trees, wherein the pesticides comprise at least one of fenpyrazate, beta-cypermethrin, chlorantraniliprole-lufenuron, difenoconazole, azoxystrobin, prochloraz and chlorothalonil. By managing the illicium verum forest, fruit trees can grow better, leaves are oily green, mesophyll is thick, and the yield of fresh fruits is higher.