123 results about "Forest management" patented technology

In accordance with aspects of the present invention, provided are systems, methods and computer program products for: creating an inventory of un-harvested logs; simulating the growth of the un-harvested log inventory; estimating current and projected values of the un-harvested log inventory; and, providing a consolidated price-schedule listing normalized, and thus, comparable purchase price information from multiple buyers.

The invention relates to the technical field of organisms, and particularly relates to a forest cultivation method of morchella crassipes. The forest cultivation method is a cultivation method for producing the morchella crassipes by a free forest land. The cultivation method comprises the following steps of: selecting a forest land suitable for growth of the morchella crassipes as the forest land to be cultivated; preparing the forest land to be cultivated before sowing; spreading solid cultivated species of the morchella crassipes on the prepared forest land to be cultivated; and carrying out forest land management until harvesting the morchella crassipes after sowing. A method for cultivating the morchella crassipes under the forest, expanding the cultivation range of the morchella crassipes, and improving the yield and the quality of the morchella crassipes is provided by the invention; the problem of low yield of the natural morchella crassipes is solved fundamentally; a foundation is provided for large-scale production of the morchella crassipes; and the forest cultivation method has significant economic and ecological benefits and wide application prospect.

The invention discloses a forest fire pre-warning method and system based on deep learning and belongs to the field of firefighting safety. The method comprises: S1, allowing an unmanned aerial vehicle to sense, in real time, temperature and humidity information of a driving area, taking a forest image of the driving area, transmitting the forest image to a ground station; synchronously transmitting locational information to the ground station; S2, judging fire pre-warning according to the temperature and humidity information, and transmitting a fire pre-warning signal to the ground station; S3, allowing the ground station to receive the fire pre-warning signal, and using a deep learning algorithm to process the forest image to obtain whether a fire is about to occur or whether fire results are present; S4, transmitting fire information to a forest management center. The temperature and humidity information is sensed and subjected to comparison; visual judgment is made on chances for afire to occur; if chances for the fire to occur are great, the forest image is processed via the deep learning algorithm; fire pre-occurrence and post-occurrence conditions can be precisely recognized; it is convenient for relevant personnel to accurately acquire fire conditions in the first place.

The invention discloses a forest fire early warning method and system based on a fuzzy Bayesian network and belongs to the fire-fighting safety field. The method comprises the following steps that anunmanned aerial vehicle is equipped with a plurality of sensors to inspect a forest along a set route, senses data of a driving area in real time and sends the data to a ground station; the ground station combines the number of local sunny days and the number of flammable plants to carry out stage treatment on flammable grades, and carries out early judgment of fire warning according to temperature, humidity, smoke and gas information; the ground station receives the data of each sensor, then uses a fuzzy Bayesian network to process the sensor data, and calculates and acquires a fire occurrence probability; when the probability of the fire is high, the ground station sends a fire warning signal, whether there is the fire, a real-time situation of the fire and location information to a forest management center; and when the probability of the fire is low, the unmanned aerial vehicle flies at the same height along the set route. In the invention, a fuzzy Bayesian network algorithm is used to process the sensor data, the fire probability can be accurately calculated so that correlation personnel can accurately acquire a fire condition at first time.

The invention discloses an interplanting method for camellia oleifera and peonies, and relates to the technical field of economic forestry planting. The interplanting method comprises the following planting processes: A selecting a forest land; B arranging the forest land; C improving land surface soil, namely a preparing materials of a soil conditioner, b preparing the soil conditioner, and c improving the soil; D interplanting, namely a selecting seedlings, b treating peony seedlings, treating camellia oleifera seedlings, d digging holes, and e transplanting, wherein the transplanting step comprises the following sub-steps: (1) transplanting the camellia oleifera seedlings, and (2) transplanting the peony seedlings, and f ditching and fertilizing; and E carrying out forest management, namely a managing in spring, b managing in summer, and c managing in winter; and F trimming. The interplanting method has the characteristics of high comprehensive utilization ratio of the land, good economic benefits and good product quality, and is suitable for new planting of the camellia oleifera and the peonies in barren hills suitable for afforestation with grades within 30 degrees.

The invention discloses a technique for renewing and transforming low-function water conservation forest. The technique establishes a hierarchical structure model comprising a target layer, a strategy layer, a measure layer and a sub-measure layer by applying a analytic hierarchy process, structures judgment matrixes, and finally transforms the low-function water conservation forest into mixed forest which is clear in the levels of trees, shrubs and grass, various in species and thick in ground cover through calculation and adjustment. The technique can give full play to three main benefits of the forest, allows the forest to tend to have a stable healthy stand structure, can fully utilize natural laws and natural force to reduce blindness and meaningless funds consumption in forest management, guarantees the area constancy of the forest and continuous utilization principle, realizes biological diversity and ecological stability, and obtains high economic benefit and obvious ecological benefit.

The invention discloses a forest management system, comprising: a human-machine operation module, a video data acquisition module, a satellite video acquisition module, a satellite visible light monitoring module, a satellite thermal infrared monitoring module, a satellite microwave monitoring module, a forest space information monitoring module used to obtain the forest space information via the fixed high altitude correction points, a data processing module, a dangerous action determining module, a central processor, a predicting and analyzing module, an expert evaluation module, a physical model structuring module, a virtual actuator, a forest area calculating module, a wood category recognizing and statistical module and an alarming module. According to the invention, through the use of the satellite visible light, thermal infrared and the microwave images, it is possible to obtain the forest environment information, the thermal infrared information and the space information; and through the information integration and comprehensive analyzing, low-cost and high-efficient forest monitoring can be realized so as to realize the automatic statistics on the forest area and wood distribution data, therefore, greatly reducing the workload of the working staff.

The invention discloses an infrared thermal imaging fire detection alarm system, relates to a fire detection alarm system and aims to solve the problem that the conventional fire detection is low in real-time property. The infrared thermal imaging fire detection alarm system comprises a master control center, N front-end image acquisition units and M branch control centers, wherein the N front-end image acquisition units are distributed in an area to be monitored; the master control center, N front-end image acquisition units and M branch control centers are accessed to a local area network; and each front-end image acquisition unit perform 24-hour image acquisition by employing a charge coupled device (CCD) camera and a thermal infrared imager. The infrared thermal imaging fire detection alarm system is suitable for fire detection alarm in a forest management area.

The invention discloses a camellia oleifera planting method. The camellia oleifera planting method comprises the steps of selecting a farming preparation environment, performing young forest management and performing adult forest management, wherein as for the geographical environment, the camellia oleifera is planted in acidic soil under the conditions that hummock and plain regions are selected, illumination is sufficient, the gradient is below 45 degrees, the soil layer is thick and the soil is loose, fertile and wet; soil preparation comprises strip cultivation, overall cultivation and cave cultivation; in strip cultivation, horizontal strips around mountain are opened according to line-spacing, and are high in outer side and low in inner side; soil needs to be completely insolated and ripened; caves are excavated at fixed points around the mountain after raking is conducted; in cave cultivation, the field with high gradient is selected, and the caves are excavated at fixed pointed according to plant line-spacing; and during shaping and trimming, the lower parts are sheared firstly and then the middle and upper parts are sheared. Through reasonable experiments and research, the growth requirement that the camellia oleifera is fond of warm is met and the problem that the camellia oleifera is afraid of cold is solved; furthermore, in the method, the illumination requirement of the camellia oleifera is taken into full consideration, so the conditions suitable for the growth requirements of the camellia oleifera are summarized, the favorable growth environment is created, the survival rate is increased and the oil content is increased.

The invention relates to a forest smoke area detecting system. The detection system is located on an unmanned aerial vehicle and comprises a microwave communication interface, a smoke detection device, an unmanned aerial vehicle power device and a main controller, wherein the microwave communication interface is used for receiving a flight control command sent by a far-end forest managing platform, the flight control command comprises a detection position, and the main controller is connected with the microwave communication interface, the smoke detection device and the unmanned aerial vehicle power device, controls the unmanned aerial vehicle power device to fly to the detection position and starts the smoke detection device to detect the smoke area in a forest after determining that the unmanned aerial vehicle is located at the detection position. By the adoption of the system, whether smoke exists in a monitored forest area and the specific position of smoke can be determined accurately, a quick response can be made by a forest management department conveniently, and disaster spreading is avoided.

The invention provides a bionic organic planting method of dendrobium candidum. The bionic organic planting method comprises the following steps: selecting time site, selecting and acclimating seedlings, selecting intergrown trees, preparing attached containers, pasting trees and planting, performing bionic cultivation under-forest management, harvesting and storing. A customized bottle is utilized as the attached container, a water retaining agent is added in a cultivation media, an alive tree intergrown planting method is adopted, and the under-forest purely natural environment in mountainous regions is utilized, so that dendrobium candidum can survive through one-time planting, the content of effective ingredients in the product is high and the quality is good. The planting method has the characteristics that the operation is simple, the survival rate is high, the product is green and organic, and the health-care value is high.

The invention discloses a mixed effect model for predicting large-area subtropical forest biomass, belonging to the technical field of forest management and related to an extraction technology of forest biomass. By relatively convenient data acquisition approaches and relatively less capital and personnel investment, an extraction technology aiming at large-area subtropical forest biomass is designed. The technology is mainly composed of five stages including extraction of laser radar data feature variables, ground sample plot data stem volume estimation, model construction and model verification based on vegetational forms and biomass calculation based on the stem volume and a biomass relative growth model. The technology improves biomass estimation precision of a laser radar method in alarge-scale forest, and provides a simplified technical solution for an airborne laser radar in forestry reconnaissance application of a large-area subtropical forest.

The invention relates to a cultivation method for organic konjac under a forest. The cultivation method comprises the following steps: 1) forest land selection; 2) forest land treatment; 3) seed selection; 4) sowing; 5) forest management; and 6) timely digging and harvesting. According to the invention, a proper cedar forest is selected for konjac planting, and by utilization of the characteristics of cedar trees, the occurrence of ground diseases and pests in the process of konjac planting is basically eradicated; meanwhile, needle leaves fallen from the cedar trees are utilized to improve soil, so the occurrence of underground diseases and pests in the process of konjac planting is basically eradicated; by adoption of planting under a cedar forest, no need of using any chemical pesticides for disinfection and almost no need of using chemical fertilizers are realized, and base fertilizer application and topdressing mainly adopt farmyard manure, so planted konjac is green and pollution-free and meets the standards of organic food; and by combination of links like scientific seed selection and sowing, unearthed konjac is uniform in sizes and shapes and has a yield increased by 15 to22% compared with the yield of the konjac obtained by pure planting or planting under a forest, and the phenomenon of diseased and dead plants in the process of planting is controlled to 2% or below.

The invention discloses a method for cultivating camellia oleifera seedlings, including selection of afforestation sites, arrangement of afforestation sites, selection of seedlings, planting of seedlings, management of young forests, and arrangement of tree bodies. The growing environment of camellia oleifera lays a solid foundation for the high yield of camellia oleifera; through precise fertilization, not only the nutrient supply of sapling camellia oleifera is ensured, but also the amount of fertilizer is saved. , the fruit-bearing rate of camellia oleifera can be increased by 10-20%, which improves the economic benefits of camellia oleifera forest.

The invention provides a comprehensive prevention and control method of dry rot of pecans. The prevention and control method comprises the following steps of soil remediation, wherein biological bacteria are added into soil, alkaline fertilizer special for the pecans is adopted for application in spring every year and then applied again in summer every year, foliage spraying is conducted as supplementation at the same time, and alkaline bio-enzyme fertilizer is applied in autumn every year after the pecans are harvested; forest management enhancement, wherein infected branches are frequently removed, and the infected trees and infected branches are removed and gathered for burning down after leaves fall in autumn or leaves grow out in spring; prevention of infection focuses, wherein medicaments are adopted for prevention and control and sprayed for treatment; medicament coating and drying, wherein each pecan trunk is coated with a medicinal protective layer in the end of March every year. By adopting the method, the dry rot of the pecans can be effectively prevented and treated, the transmission and propagation probability of pathogeny is reduced, and more benefits are brought to yield increasement of the pecans.

The invention belongs to the technical field of forest management, and relates to a remote sensing image data, weather station and forest survey data fused quantitative forest ecological function research method. According to the method, a PM2.5 mean concentration spatial distribution map is obtained through inversion according to MODIS remote sensing images from a city regional scale, and sizes of direct and interactive actions between influence factors are quantitatively analyzed by using a spatial statistical analysis method. The method mainly comprises four stages of: generating the PM2.5 mean concentration spatial distribution map, carrying out spatial matching and fusion on PM2.5 mean concentration data and each piece of ecological factor data, selecting proper analysis threshold value to recognize cold and hot point regions, and locking and reforming main influence factors. According to the method, the data obtaining approach is relatively simple and the cost is relatively low, the inversion operation is simple and has popularization performance, and the quantification result of influence of each influence factor can provide guiding thought and scientific basis for city forest managers to improve city forest layout.

The invention discloses a non-reinforcement-planting modification method for southern difficult mountain shrubbery, and belongs to the technical field of forest management. The method comprises four steps including purpose tree variety screening, objective tree selection, ecological objective tree selection and forbidding. The method is simple and easy to implement, can remarkably improve possibility that the shrubbery grows into arboreal forest, reduces problems that ecological service functions are sharply decreased and the like because the shrubbery is clearly cut and comprehensive reinforcement planting is needed, and saves large-amount funds required in clear-cutting modification. The method utilizes current plants in the shrubbery for accurate tending and cultivation, the method has the advantages that woodland covering is continuous, the ecological system is stable, ecological service functions continuously rise and the like, and the method is suitable for promotion and application.

The invention relates to a method for planting a tea-oil tree, in particular to a method for cultivating a tea-oil tree. The method comprises the steps of land selecting, soil preparation, seedling growing and transplanting, seedling management, forest management and harvesting. According to the method for planting the tea-oil tree, the survival rate of the tea-oil tree reaches 94% or above, and the need of the tea-oil tree for fertilizer is met through reasonable fertilization. By means of the method for planting the tea-oil tree, fruit bearing of the tea-oil tree is fast, the fruit yield ishigh, and the oil yield of tea-oil seeds reaches 60% or above.

The invention discloses a method for planting oil tea. The method is characterized by including the following steps of forest land selection: selecting red soil or yellow-red soil land on a sunny slope or a half-sunny slope with sufficient sunlight; forest land planning: planning a planting area and roads scientifically; land preparation: conducting land preparation in a strip shape horizontally along the contour line; hole digging and base fertilizer application: digging large holes and applying sufficient base fertilizers; planting density: selecting 2-year-old improved robust seedlings withnaked roots and planting varieties by branch; young forest management: conducting weeding, loosening the soil, applying the fertilizers scientifically and conducting pruning; forest management: conducting soil reclamation, rational fertilization, pruning and water management; pest control: paying more attention to control than treatment for oil tea pests and diseases and taking comprehensive control measures combining biological and drug control based on the forest management technology; protection of pollinating insects: sealing a mountain pass to protect bumblebees and prohibiting digging of bee pupa; tea fruit harvesting: harvesting the oil tea according to the maturity of the planted varieties. According to the method, the oil tea yield is increased, and the greater economic benefit is achieved.