33 results about "Crop acreage" patented technology

A multi-objective optimization method for crop planting considering fuzzy uncertainty includes the following steps: Step 1: Obtain historical data; Step 2: Construct a corresponding fuzzy parameter set based on the historical data; Step 3: Describe the planting area of ​​various crops on different plots as variables, and construct the expression relationship between their total planting area and total yield; Step 4: Construct a fuzzy multi-objective optimization model for crop planting based on the fuzzy parameter set; Step 5: Introduce plot area constraints, crop suitability constraints, crop rotation constraints, and minimum planting area constraints into the fuzzy multi-objective optimization model; Step 6: Obtain the clarified multi-objective optimization model; Step 7: Obtain a Pareto optimal planting scheme set; Step 8: Select the target planting scheme from the Pareto optimal planting scheme set and output the planting area configuration results of various crops on different plots. This invention can obtain a planting method that better conforms to actual production conditions.

The invention relates to the crossing field of intelligent agricultural insurance and intelligent agriculture, in particular to a corn planting income insurance double-precision double-reduction technology integrated intelligent system based on space-space-ground multi-source data, which comprises a space-space-ground multi-source data acquisition module, a corn planting income insurance management module, a corn planting income insurance management module and a corn planting income insurance management module, the multi-dimensional data acquisition module is used for acquiring multi-dimensional data such as satellite remote sensing, unmanned aerial vehicle aerial survey fine monitoring, ground Internet of Things intelligent sensing, meteorological monitoring, government affairs and markets in the whole corn planting period; according to the method, according to the CGCS2000 national geodetic coordinate system standard, the space, growth state and environment monitoring of a corn planting area are collected, space-air-ground multi-source data and a DSSAT corn growth model are fused, a standardized data set is output, the variety identification accuracy is larger than or equal to 95%, the planting area underwriting error is smaller than or equal to 2%, the yield prediction accuracy is larger than or equal to 92%, and the method is suitable for large-scale popularization and application. According to the method, yield loss-price fluctuation double risk association is integrated, yield and price data are dynamically updated, the insurance claim settlement efficiency and precision are greatly improved, the pain points of single data and inaccurate accounting of traditional agricultural insurance are solved, and a solid data support is provided for double-precision and double-reduction.

The invention discloses a decoupling type fish and vegetable symbiotic system and an implementation method, and belongs to the technical field of ecological agriculture and circulating planting and breeding. The decoupling type fish and vegetable symbiotic system comprises a box body culture unit used for aquaculture; the input end of the digestion filtering unit is connected to the water outlet end of the breeding unit, and the digestion filtering unit is used for filtering and nitrifying the breeding wastewater; the planting unit adopts an aeroponic cultivation device, and the aeroponic cultivation device is provided with a spraying device; the double-loop fertilizer supply system comprises a fish culture water circulation branch and a nutrient solution branch, and the fish culture water circulation branch is used for leading water treated by the digestion and filtration unit to the spraying device; and the control unit is configured to control the double-loop fertilizer supply system, so that the spraying device selectively sprays fish culture water or nutrient solution, the limitation that the culture density and the planting area must be strictly matched is broken through, the fishes and the vegetables can be in the optimal growth state, and the efficiency and the stability of the system are improved.

The present application aims to provide a kind of ecological sensitive area near zero carbon road construction period carbon emission optimization method and system, it is related to carbon emission management technical field.The method includes: according to unit engineering demand, first position, construction position, first carbon emission factor, second carbon emission factor, required station, third carbon emission factor and clean energy supply information, determine optimization basic carbon emission amount;Get construction measure carbon emission and special carbon emission, and determine total carbon emission, further determine the type of target carbon fixation plant and the planting area of each target carbon fixation plant.According to the present application, the automation degree of calculation can be improved, the calculation efficiency and accuracy can be improved, and various carbon emission projects can be automatically optimized.When there are many carbon emission projects, the optimal scheme can be automatically screened, the carbon emission amount can be reduced, and the planting scheme of carbon fixation plant can be designed to effectively compensate for carbon emission, thereby effectively reducing carbon emission and achieving the goal of near zero carbon.

The application belongs to the technical field of agricultural planting, and provides a smart agricultural planting control method and system based on cloud computing, which comprises the following steps: extracting actual planting result data under historical cloud planting instructions, dividing a field into a plurality of management units according to the same planting area, analyzing the fruit malformation rate of each management unit under the current cloud planting instruction, and evaluating whether cloud algorithm reconstruction is needed; after determining that cloud algorithm reconstruction is needed, extracting environment parameters related to crop growth, analyzing and determining the correlation degree between the environment parameters and the fruit malformation rate, and identifying core correlation parameters that have a great influence on the fruit malformation rate of crops; the application divides homogeneous regions through space-time clustering, customizes special planting instruction models and environment suitable intervals for different regions, solves the problem that traditional global unified instructions cannot adapt to the soil and environment differences in the field, and can effectively reduce the fruit malformation rate.

The utility model discloses an external three-dimensional planting wall of a novel connecting structure, which comprises a planting wall body, the left side and the right side of the planting wall body are provided with protruding edge beams, the top of the planting wall body is provided with joint bars used for being connected with a roof in advance, and the outer side of the bottom of each edge beam is provided with an embedding groove used for embedding a half connecting box; a plurality of hollow building blocks are arranged on the planting wall body, the hollow building blocks are located in an area covered by the two edge beams, a plurality of placing through holes are formed in the hollow building blocks, and a plurality of planting boxes are detachably inserted into the placing through holes. The planting box is additionally arranged on the basis of the planting wall body capable of being rapidly constructed, the attractiveness of the wall body is improved, meanwhile, the planting area can be increased, the planting box can be detached and can be designed into different shapes, meanwhile, in hot days, the planting box can be detached, the containing through hole of the hollow building block becomes a ventilation through hole, and the ventilation effect is good. Ventilation in the wall is improved, and the interior comfort is improved.

This invention discloses a plant cultivation system, belonging to the technical field of plant cultivation systems. The system includes a cultivation chamber, double-sided supplemental lighting fixtures, multiple cultivation units, and a ventilation system. By centrally arranging double-sided supplemental lighting fixtures within a closed chamber, and layering multiple nutrient return components and multiple inclined cultivation pots on mounting frames on both sides of the fixtures, with the cultivation chambers of the pots inclined towards the supplemental lighting fixtures, and a ventilation system at the top of the chamber, all planting surfaces can receive uniform light and ventilation. Simultaneously, the ventilation system dissipates heat from the lighting fixtures, eliminating the need for additional cooling devices and resulting in lower energy consumption. Compared to traditional flat-layer cultivation, this solution offers higher space utilization efficiency, more efficient use of light resources, complete recycling of nutrient solution, and more uniform overall crop light exposure. Annual yield for the same planting area is significantly higher than traditional methods, while requiring less manpower and lower costs for daily maintenance, making it suitable for large-scale, high-efficiency cultivation.

The application discloses a plant growing system and relates to the technical field of plant growing systems, wherein the plant growing system comprises a growing chamber, a double-sided light supplement lamp, a plurality of growing units and an air supply device; the double-sided light supplement lamp is arranged in the middle of the closed chamber, a plurality of liquid return members and a plurality of inclined growing pots are arranged on the mounting frame in layers on the two sides of the lamp, the cultivation cavity of the growing pot is inclined towards the light supplement lamp, and the air supply device at the top of the chamber is matched, so that all growing surfaces can obtain uniform light and ventilation conditions, the lamp is simultaneously radiated by using the growing air supply, an additional radiating device is not needed, and energy consumption is lower. Compared with a traditional flat layer growing mode, the space utilization efficiency of the scheme is higher, light resource utilization is more sufficient, nutrient liquid can be completely recycled and utilized, crops are uniformly lighted, the annual output under the same growing area is much higher than that of the traditional mode, the manpower and cost required for daily operation and maintenance are lower, and the scheme is suitable for large-scale and efficient growing.

The present application discloses a kind of mushroom planting shelter that can expand planting area, it is related to mushroom planting technical field, including shelter body and the box door of the front end of shelter body by hinge installation, control panel and vertical planting frame assembly, the right side of the shelter body is fixed with control panel, the top wall of the shelter body is fixed with temperature and humidity sensor and gas concentration detector, the inside of the shelter body is placed with vegetable planting box, the inside of the vegetable planting box is provided with light shielding structure, the inside top end of the shelter body is installed with LED lamp assembly.The mushroom planting shelter that can expand planting area, expand the planting area of planting plate, so as to expand the planting area of mushroom, mushroom and vegetable are planted in shelter body, reduce the ventilation demand of shelter body, achieve the purpose of energy saving, can adapt to the problem that the difference of illumination demand of planting vegetable and cultivating mushroom is larger, uniform spray water mist.

The utility model relates to a composite ecological filter bed which comprises a first disc, a floating cabin is fixedly installed at the bottom of the first disc, a plurality of first planting pots are arranged in the first disc, and a supporting pipe is fixedly installed in the first disc. A second-layer planting assembly located above the first disc is arranged outside the supporting pipe, and the second-layer planting assembly comprises a second disc fixedly installed outside the supporting pipe. According to the composite ecological filter bed, the floating cabin supports the first disc and the ecological filter bed to float on the water surface, the first planting pot in the first disc is in direct contact with water to facilitate planting of aquatic plants, the supporting pipe in the first disc supports the second disc and the water storage pot, the water pump works to pump water below to the water storage pot, and the water storage pot is sleeved with the second planting pot. By means of the design, the planting area and the planting layers of the aquatic plants are increased on the same water area, and therefore the plantable number and types of the aquatic plants are effectively increased.

This utility model discloses an automatic sprinkler system for seed and seedling cultivation, relating to the field of seed and seedling technology. It includes two main pipes, each composed of multiple straight pipes. Each straight pipe includes a pipe body, with multiple equally spaced branch heads connected to the top of the pipe body. Flanges are fixedly installed at both ends of the pipe body, and every two adjacent flanges are connected by bolts. Multiple branch pipes are located between the two main pipes. Each branch pipe includes a horizontal pipe and two vertical pipes. The two vertical pipes are threaded to both ends of the horizontal pipe, and the lower end of each vertical pipe is threaded to the upper end of the branch head. This utility model, by providing detachable main and branch pipes, facilitates adjustment of the sprinkler area according to the planting area, making it suitable for planting areas of different sizes. Furthermore, it allows for easy disassembly, storage, and transportation of the device.

The invention discloses an intelligent park management system and method for plant planting, and belongs to the field of intelligent planting, and the system comprises a plant growth condition database which is used for storing a suitable growth environment of plants; the planting area information storage module is used for storing the data of plants planted in each planting area and the remaining planting area; the environment monitoring module is used for monitoring environment factors of each planting area of the park; the planting planning module is used for determining a planting plan of a plant to be planted and a planting plan of a plant currently planted in each planting area; the planting matching module is used for determining the planting area of each to-be-planted plant according to the data of the plants planted in each planting area, the remaining planting area, the planting plan and the suitable growth environment; and the environment regulation and control module is used for regulating and controlling the environment of each planting area according to the suitable growth environment of the plants planted in each planting area. The method solves the problem that a large number of resources are consumed during environment regulation and control due to neglect of plant habits during existing park planting.

The present application relates to the technical field of Gastrodia elata Bl. associated planting, and discloses a Gastrodia elata Bl. regional planting planning method and system, which obtains crop planting demand information of a Gastrodia elata Bl. planting enterprise and a plurality of associated crop planting users in a target planting area in a target planting period, generates a Gastrodia elata Bl. planting task and a plurality of associated crop planting sub-tasks, considers the planting area of each Gastrodia elata Bl. planting block, and plans a Gastrodia elata Bl. and associated crop planting strategy of the target planting area in the target planting period. Thus, the present application plants inner-layer associated crops of Gastrodia elata Bl., middle-layer associated crops of Gastrodia elata Bl. and outer-layer associated crops of Gastrodia elata Bl. around the Gastrodia elata Bl. planting area, ingeniously utilizes the natural insect prevention and bacterium inhibition characteristics of the associated crops and the synergistic effect of the ring-shaped planting structure and different crops, and can significantly improve the microclimate conditions of the planting area. On the other hand, the present application borrows mature associated crop planting technology of external associated crop planting users, and reduces the implementation difficulty and cost of the Gastrodia elata Bl. associated planting technology.

This invention relates to the field of agricultural planting planning technology, specifically disclosing a planting adaptability optimization method for adapting to diversified planting structures in mountainous areas. By systematically integrating multi-source data on the natural environment, resource supply, and crop characteristics of the target mountainous area, a multi-level adaptability evaluation index system is constructed. The weights of the indicators are determined by integrating objective data and expert knowledge, and the comprehensive adaptability score of crops in different spatial units is calculated. With the goal of maximizing economic and ecological benefits and minimizing resource consumption, and using land, water resources, and adaptability scores as core constraints, a multi-objective optimization model is established to solve for the spatial allocation optimization of crop planting area, generating recommended planting schemes and their spatial distribution. This invention supports dynamic adjustments based on environmental and market changes, enabling scientific planning and continuous optimization of agricultural planting structures in mountainous areas, effectively improving the precision of land use and the sustainability of agricultural systems.

The invention provides a planting industry structure adjustment method and device based on climatic year and risk assessment, and a storage medium. The method comprises the following steps: estimating estimated meteorological data, estimated crop yield data and estimated cultivated land data corresponding to each grid region in a target year; carrying out grain production key climate factor identification to obtain a meteorological yield and a meteorological factor influence coefficient, and carrying out climate year type division to obtain a climate year type division result; determining the risk degree of the annual specified crops; determining the suitability grade index of the specified crop in each grid area; determining a suitable grade area of the specified crop; an adjustment result of the planting structure in the target year is determined, the constraint condition comprises a suitable grade area, and the adjustment result comprises an optimal planting area of the specified crop in the specified region; therefore, the accuracy of structure adjustment in the planting industry is improved.

A method for extracting crop planting structure and calculating area in irrigated areas includes: acquiring a temporally continuous and spatially registered remote sensing dataset; selecting key phenological period images of key temporal phases of target crop growth changes from the remote sensing dataset to form a key phenological period image set; constructing a labeled plot-level sample feature library by associating prior information related to spectral and index features and prior information of irrigation zones with labels; constructing a multi-temporal crop semantic segmentation network based on SegFormer, including a hierarchical Transformer encoder and a lightweight multilayer perceptron decoder, and training the constructed multi-temporal crop semantic segmentation network using the labeled plot-level sample feature library; overlaying pixel-level crop category probability maps with cultivated land plot boundary vector data, and obtaining plot-level crop types using post-processing methods; and based on the plot-level classification results, calculating the planting area of ​​each major crop in different irrigation zones, and outputting crop planting structure maps and area statistics.

The invention relates to the crossing field of intelligent agricultural insurance and intelligent agriculture, in particular to a wheat planting complete cost insurance double-precision double-reduction technology integrated intelligent system based on space-air-ground multi-source data, which comprises a data acquisition module for acquiring satellite remote sensing, unmanned aerial vehicle aerial survey and internet-of-things perception covering a wheat planting complete period, space-air-ground multi-source data such as cross-department government affairs and market sharing can be realized; and a data preprocessing, outputting and active pushing module. According to the method, wheat exclusive monitoring equipment is adopted, air-space-ground multi-source data and standardized technical parameters are integrated, through planting area grading verification and marking, a growing period dynamic compensation model is fused, data accuracy and consistency are ensured, single data dimension limitation is broken through, full-period all-dimensional accurate monitoring from sowing to harvesting is achieved, and the method is suitable for large-scale popularization and application. Causal association and forecasting of risks and yield, quality and price are achieved, the planting area underwriting error is smaller than or equal to 3%, and the loss assessment error is smaller than or equal to 5%; the claim settlement period is shortened to be within 3 days from traditional 15-30 days, the farmer experience and insurance claim settlement efficiency and precision are greatly improved, and high-quality data support is provided for double-precision business and double-reduction intervention.

This invention relates to a method for spring breeding of broodstock larvae of Procambarus clarkii in rice-vegetable rotation fields, belonging to the field of broodstock larvae breeding. The invention utilizes a rice-crayfish-vegetable crop rotation system, setting up artificial burrows, rainproof black antioxidant plastic film, field drainage ditches, fishing nets and basket traps, and broodstock removal and temporary holding facilities at different stages of broodstock reproduction. By rotating vegetables in winter and spring, the rice paddies are drained and moisturized, achieving the goal of spring breeding of broodstock larvae in rice-vegetable rotation fields. This invention fully utilizes the characteristics of rice, water spinach, and crayfish farming, delaying the emergence time of broodstock larvae, increasing broodstock yield and collection efficiency, and increasing broodstock larvae production. It enables seamless integration of broodstock larvae supply with crayfish farming in the cold regions of Northeast China, promoting the rapid development of the crayfish industry in northern my country and achieving increased production and efficiency. Furthermore, this method can increase the planting area of ​​water spinach in farmland, improve soil, and solve the problem of long-term waterlogging and siltation in the soil.

The utility model discloses a three-dimensional planting wall adopting post-processing planting grooves, which comprises a planting wall body, a plurality of hollow building blocks are arranged in the planting wall body, stringer beams are arranged on the hollow building blocks in a penetrating manner, planting bottom plates are fixedly arranged on the stringer beams at the same height, and the planting bottom plates are arranged on the planting wall body. End baffles are arranged at the left end and the right end of the planting bottom plate, a front baffle is arranged at the front end of the planting bottom plate, and a post-processing planting groove is formed by the planting bottom plate, the end baffles on the two sides and the front baffle. An existing planting wall is improved, the stringer beams are inserted into the through holes where the original planting boxes are inserted, the planting bottom plate is installed on the stringer beams at the same height, the baffles are arranged at the left end and the right end of the planting bottom plate and perpendicular to the front end of the planting bottom plate, and the planting groove is formed. Compared with an existing foam planting box, the structure is more stable, the length is longer under the same width, and the planting area is larger.

The utility model discloses a slope protection structure convenient to install for water conservancy construction, which relates to the technical field of water conservancy construction and comprises an outer shell connected with an inner shell through a grid plate, the bottom end of the outer shell is fixedly connected with the grid plate, the bottom end of the grid plate is fixedly connected with the inner shell, and a plant planting space is defined by the inner shell. An inserting plate is fixed to the lower surface of the outer shell, connecting plates are installed at the outer end of the outer shell at equal angles, inserting holes are formed in the connecting plates, a plant planting space is defined by the outer shell, the grid plate and the inner shell, the inserting plate is fixed to the lower surface of the outer shell at equal angles, and the connecting plates and the outer shell form a sliding structure. The outer end of the connecting plate is of a concave-convex structure, and a sliding groove is formed in the outer end of the shell. According to the slope protection structure convenient to install and used for water conservancy construction, the shells can be limited in soil while the shells are limited, rapid combination and installation are facilitated, and the planting area of plants is enlarged through the two planting spaces.

This invention discloses a method and system for monitoring rice planting area based on multi-source SAR data. The method includes data acquisition and preprocessing, preliminary extraction of rice planting area, dynamic inversion of physiological parameters, phenological and ripening system identification, and result output. On the one hand, this invention integrates multi-source data to overcome the bottlenecks of cloud and fog conditions and lighting conditions in optical remote sensing. Simultaneously, it uses a strongly coupled design and algorithm based on segmentation and classification iterations, along with a linkage optimization mechanism, to improve adaptability to fragmented plots and complex terrain, thus solving the problem of low planting area accuracy in complex scenarios. On the other hand, based on the linkage adaptation and cross-validation of area extraction optimization results with physiological parameter inversion and phenological ripening system identification, a two-way feedback closed loop is used to complete secondary optimization. This avoids interference from non-rice plots, improving the accuracy of parameter inversion and phenological identification, while also verifying the rationality of area extraction through the latter, achieving a synergistic improvement in overall monitoring accuracy, exceeding 93%.

The invention relates to the technical field of agricultural fertilizers, in particular to a chemical fertilizer-organic fertilizer-microbial fertilizer synergistic application method suitable for tropical hilly sloping field rubber trees, which comprises the following steps: step 1, preparation before fertilization: determining that an application area is a tropical hilly sloping field, confirming the planting area, checking the growth state of the rubber trees, preparing a slow-release formula fertilizer (30-7-13), an organic fertilizer, a microbial liquid fertilizer (Shenjing) and a fertilization tool; aiming at the problems of topographic relief, high water and soil loss risk, serious soil nutrient leaching loss, soil degradation caused by long-term chemical fertilizer application and the like of the tropical hilly slope, a slow-release formula fertilizer, an organic fertilizer and a microbial liquid fertilizer are scientifically proportioned and accurately applied in stages; the synergistic goals of chemical fertilizer reduction, soil fertility improvement, rubber tree productivity increase and ecological protection are achieved, the problems of soil acidification and hardening of tropical hilly slopes can be effectively solved, and technical support is provided for green and sustainable planting of rubber trees.

The application provides a loan risk assessment method and device based on agricultural remote sensing images, and relates to the technical field of artificial intelligence.The method comprises the following steps: obtaining a hyperspectral image data set of a target region; obtaining the crop type corresponding to each pixel in the hyperspectral image data set according to the hyperspectral image data set of the target region and a crop recognition model; obtaining the estimated planting area of each crop according to the crop type corresponding to each pixel and the land area corresponding to each pixel, and predicting the total agricultural output value of the target region according to the estimated planting area of each crop, the expected unit yield and the expected unit price; and obtaining a loan risk assessment result according to the total agricultural output value of the target region and the loan amount of a farmer in the target region.The device is used to execute the above method.The loan risk assessment method and device based on agricultural remote sensing images provided in the application embodiment improve the accuracy of post-loan risk assessment of agricultural loans.

This utility model provides an automatic nutrient solution spraying device for sweet cherry seedlings, including a movable container and a pump body installed on the front of the container. The pump body's output end is equipped with an adjustable spraying component. The adjustable spraying component includes a first spray pipe connected to the pump body's output end, a first telescopic pipe connected to the output end of the first spray pipe, a second spray pipe connected to the output end of the first telescopic pipe, and a third spray pipe connected to the output end of the second telescopic pipe. Through the cooperation of the adjustable spraying component and the telescopic support component, the adjustable spraying component can adjust the spraying range of the nutrient solution according to the planting area size, thus enabling the spraying of nutrient solution to different sized planting areas in one operation. This eliminates the need for multiple manual re-spraying trips, avoids nutrient solution waste, and improves the efficiency of nutrient solution spraying.

The application relates to the technical field of water environment treatment, in particular to a pre-laying type annular reed planting method suitable for deep water lakes and reservoirs. The method comprises the following steps: S1, constructing a planting mathematical model, which is used for calculating the daily planting area and the number of people of the water area to be planted; S2, calculating the water area that needs to be planted in advance due to water level rise after daily water replenishment of the water area to be planted according to the planting mathematical model; S3, arranging workers to carry out underwater vegetation planting in the water area that needs to be planted in advance; S4, arranging workers to cover the area where the advanced planting is completed with a sunscreen net according to the weather and temperature; and S5, arranging workers to remove the sunscreen net when the water level rises to submerge the advanced planting area. The planting method calculates the area difference between the water area to be planted on the same day and the next day caused by water replenishment, and adopts the advanced planting mode, so that the problem that the labor arrangement and the planting area do not match in unit time during the deep water lake planting and water replenishment process is solved.

The present disclosure provides a method and system for calculating water-land-forage-livestock balance in a family pasture by taking forage quality into account. The method takes a family pasture as a calculation unit and starts from a water circulation process, various types of groundwater recharges of the family pasture are calculated, and an available groundwater quantity is calculated by using an exploitable coefficient method, and undergoes water-land balance calculation with an irrigation water demand and a drinking water demand of people and livestock; and total digestible nutrients of various types of forage are used to convert each type of forage into standard hay for forage-livestock balance calculation, so as to determine a maximum supportable planting area of irrigated artificial grasslands and a maximum supportable quantity of livestock raised in the family pasture.

The utility model discloses a combined light -duty ecological planting box for roof greening relates to planting box technical field, the utility model discloses a plurality of planting box main part, a plurality of the top outer wall of planting box main part all is fixedly connected with a plurality of slide rails, the outer wall of planting box main part is provided with combination mechanism, the combination mechanism includes a plurality of fixed base, a plurality of the outer wall of fixed base all are fixedly connected with the outer wall of left planting box main part location, when the equipment needs to use, and will insert the rod into the plug -in rod cover, and simultaneously pull out the plug -in rod no.

A wetland restoration method based on an “ecological leverage points” is provided. The wetland restoration method includes the following steps: S1, selecting suitable native pioneer plants, and selecting a region for establishing restoration points in a degraded wetland; S2, calculating to obtain an expected plant population quantity Ppro of the degraded wetland according to the area S of the degraded wetland and the set expected planting density ρpre in combination with the following formula III, setting restoration time t, then calculating to obtain an initial plant population quantity P0 at t=0 by adopting the following formulas I and II, and further calculating to obtain the initial planting area S0 according to the initial plant population quantity P0 and the expected planting density ρpre;∂P∂t=rP⁢NN+k-aP;formula⁢ I∂N∂t=A- bP+acP;formula⁢ IIandS=P / ρ.formula⁢ III

The balcony planting box comprises an upper planting layer and a lower planting layer, the lower planting layer comprises a plurality of stand columns, side plates are sequentially arranged between every two adjacent stand columns, an opening part is formed between the two stand columns at the head and the tail, and a planting branch box capable of sliding out of the opening is arranged in the lower planting layer in a sliding mode. By arranging the planting branch boxes capable of sliding in the lower planting layer, the growth environment of plants in the balcony planting box is consistent, the growth state of the plants is consistent, whether illumination is provided for the plants in the lower planting box or not can be selected according to the needs of planted crops, the application range is wide, a light supplementing lamp does not need to be adopted for light supplementing, cost is low, and the planting area is large.

This invention provides a spatial distribution prediction system for rural biomass waste resources that couples remote sensing and geographic information. The system includes: collecting raw remote sensing data and geographic information data of villages and performing spatiotemporal registration and synchronous projection to obtain multi-source heterogeneous data; identifying crop types and the corresponding planting area of ​​each crop in the village; establishing a resource estimation model; inputting crop-related data and multi-source heterogeneous data corresponding to each crop type into the resource estimation model for prediction; obtaining predicted waste resource distribution information for the village; identifying the resource quantity of each type of biological waste in the predicted waste resource distribution information; and generating and displaying a visual map of the village's biological waste resource distribution based on geographic information data. This achieves accurate prediction and spatial distribution visualization of biomass waste resources such as crop straw, livestock manure, and agricultural processing residues at the county, township, or village scales.