9 results about "Agricultural modernization" patented technology

The invention relates to the technical field of remote sensing agricultural data management, and discloses a remote sensing agricultural big data management system based on a block chain. According to the system, image data is subjected to radiation, atmosphere and geometric correction preprocessing to generate a standardized remote sensing image; the feature extraction module performs multi-scale segmentation on the crop feature region, identifies the crop feature region, extracts texture, spectrum and shape feature values, and fuses the feature values to form a multi-dimensional feature vector; the block chain storage module performs hash operation on the vector to generate a feature fingerprint, constructs a new block in combination with a timestamp and a preorder block hash value, and forms a non-tampering agricultural data chain after verification of a consensus mechanism; a path analysis module traverses the block sequence, extracts a storage path and screens a high-relevance feature path set; and the intelligent classification module extracts feature tags, and generates an agricultural data classification structure through a multi-dimensional matching algorithm. The system realizes standard processing, safe storage and intelligent application of remote sensing agricultural data, and meets the requirements of agricultural modernization development.

This application discloses a method and system for paddy field landscape planning and processing based on big data. The method includes: collecting raw paddy field datasets to construct a landscape baseline model; extracting basic field attributes and spatial relationship data to construct candidate and constraint sets, and determining the optimal landscape pattern configuration scheme; extracting unit spatial relationships and ecological adaptability indicators to synthesize spatial weight information; calculating the connectivity distance from the centroid of each unit to the nearest water system node, marking breakpoints to reconstruct the water system path; scheduling the entry sequence and operation time of construction machinery, periodically monitoring water quality parameters, and adjusting planting density. The system includes a data acquisition and modeling module, a field selection module, a weight configuration module, a water system correction module, and a scheduling and execution module. This application achieves collaborative management of paddy field landscape planning and construction operation and maintenance through multi-source data fusion and dynamic optimization mechanisms, providing scientific decision-making support for agricultural modernization.

The utility model discloses an agricultural pesticide spraying unmanned aerial vehicle, and relates to the field of unmanned aerial vehicles. Through the arrangement of the mounting block, the mounting frame, the mounting groove, the clamping block, the sliding bolt, the first spring, the push plate and the second spring, the disassembly and assembly process of the pesticide box becomes very convenient and efficient, during disassembly, only the sliding bolt needs to be simply operated, limitation of the clamping block to the mounting block can be easily relieved by means of the elastic effect of the spring, and the labor intensity of workers is reduced. The pesticide box is rapidly pushed to be separated from the installation position, then the clamping block capable of automatically resetting makes preparation for next installation, complex tools are not needed, manpower and time cost is greatly saved, the intermittent time of plant protection operation of the unmanned aerial vehicle is shortened, cleaning work of the pesticide box is facilitated, and the installation block can smoothly slide in and be accurately locked during installation; the stability and convenience of pesticide box installation are ensured, a solid foundation is laid for wide application and popularization of the agricultural unmanned aerial vehicle plant protection technology, and efficient and intelligent development of the plant protection link in the agricultural modernization process is powerfully promoted.

The application discloses a multifunctional cultivation device and a tomato seedling raising method, which comprises a box body, a soil filling cavity, a seeding cavity and a watering cavity are sequentially arranged in the box body from bottom to top, a soil filling groove is arranged at the upper portion of the soil filling cavity in the box body, a soil adding channel communicated with the soil filling groove is arranged on the front side of the box body, a seeding groove is arranged above the seeding cavity in the box body, and a seed adding channel communicated with the seeding groove is arranged on the front side of the box body; conveying frames are arranged on the left and right sides of the box body, each conveying frame comprises a supporting table and lifting frames arranged upwards on the front and back sides of the supporting table, horizontal taking plates capable of sliding up and down and moving left and right are connected between the two lifting frames, and a plurality of supporting strips driven to lift through chains are connected to the two inner walls in front of and behind each seedling raising frame. The application adopts the multifunctional automatic seedling raising mode to raise seedlings, improves the work efficiency, reduces the labor cost, realizes the accurate control, and thus promotes the agricultural modernization process.

The utility model discloses an automatic fertilizing device for platycodon grandiflorum cultivation, and relates to the technical field of fertilizing devices, the device carries a multispectral imaging system, can obtain and analyze spectral information of crops in real time, realizes variable rate fertilization, effectively reduces fertilizer waste and environmental pollution, and takes an unmanned aerial vehicle body as a carrier. A large-area planting area is covered, fertilizer is stored in the storage box, and continuous operation is supported; the lower adjusting cover is connected with the supporting cover through a spherical hinge to flexibly adjust the fertilizing direction; an opening and closing plate and an opening and closing magnet accurately control a material spraying switch to ensure accurate fertilization; the fixed cover and the upper adjusting cover are also connected through a spherical hinge, and overall direction adjustment is optimized; the motor drives the suction pipe and the turntable to realize high-efficiency suction and spraying of materials; the device improves the fertilization efficiency and precision, reduces the labor intensity, adapts to various terrains, has the advantages of environmental protection and energy conservation, and assists agricultural modernization.

The application relates to the technical field of remote sensing agricultural data management, and discloses a remote sensing agricultural big data management system based on a blockchain. The system comprises image data, which is preprocessed through radiation, atmospheric and geometric correction to generate standardized remote sensing images; a feature extraction module performs multi-scale segmentation on the images, identifies crop feature regions, extracts texture, spectral and shape feature values, and fuses to form a multi-dimensional feature vector; a blockchain storage module generates feature fingerprints through hash operation on the vector, combines a time stamp and a previous block hash value to construct a new block, and forms an unalterable agricultural data chain after verification by a consensus mechanism; a path analysis module traverses the block sequence, extracts storage paths and screens a high-correlation feature path set; and an intelligent classification module extracts feature labels and generates an agricultural data classification structure through a multi-dimensional matching algorithm. The system realizes standardized processing, safe storage and intelligent application of remote sensing agricultural data, and adapts to the development needs of agricultural modernization.

The invention relates to the technical field of agricultural modernization, and discloses a light storage and charging management system and method for an agricultural machinery workshop. The energy storage module is used for acquiring, storing and outputting the electric energy generated by the photovoltaic power generation module; the charging pile is used for receiving the electric energy of the photovoltaic power generation module or the energy storage module and outputting the electric energy to each agricultural machine; the monitoring module is electrically connected with the photovoltaic power generation module, the energy storage module and the charging pile; the control module is electrically connected with the monitoring module; and the charging protection module is connected with the monitoring module. According to the invention, a reliable and adaptive energy management solution is constructed through cooperation and intelligent decision making of multiple modules.

The present application belongs to the technical field of pesticide preparation, and particularly relates to a nematocidal granule containing 5-hydroxymethyl furfural and a preparation method thereof. The granule contains, by mass percentage, 1-20% of 5-hydroxymethyl furfural, 0.5-10% of a stabilizer, 0-10% of a binder I, 0-10% of a binder II, 0-4% of a lubricant, and the balance of a carrier; the stabilizer is one or more of sodium hydrosulfite, sodium metabisulfite, ascorbic acid, 2,6-di-tert-butyl-p-cresol, and acetylcholine. The pesticide granule prepared by the present application has good stability, is not prone to degradation of effective drug components, has good flowability, and has good mixing uniformity with soil, and has a positive significance for agricultural modernization.

The invention provides a multi-modal network leaf area index inversion method based on thin cloud pollution processing, and relates to the field of agricultural information technology and remote sensing technology, and the method comprises the steps: collecting multispectral data and RGB image data, restoring the collected multispectral data based on a thin cloud pollution data restoration model, and screening based on wave bands. And selecting an optimal wave band combination, carrying out preprocessing operation on the RGB image data and the repaired multispectral data, and carrying out leaf area index inversion based on a leaf area index inversion model according to the preprocessed data and the optimal wave band combination. According to the method, the complex relation between different wave bands can be effectively captured, data affected by thin cloud pollution can be better corrected, before large-scale operation is carried out on the data, the characteristic wave bands are screened, large-scale operation on edge equipment is reduced, the calculation cost is effectively saved, the blank in the prior art is filled, and the method is suitable for popularization and application. And an innovative and substantive solution is provided for agricultural modernization.