4 results about "Rangeland" patented technology

The present technology integrates multiple technologies to substantially reduce the economic and environmental cost of managing municipal solid waste (MSW) and the biomass growth in forests or rangelands. The technology employs rotary kiln gasification of MSW to generate steam, renewable electrical energy, and an inorganic sintered ash suitable for a variety of uses. Net electrical power from the power plant is used to operate a pyrolysis system or a hydrothermal liquefaction unit that converts wood biomass to liquid hydrocarbon fuels. A carbon capture and utilization system uses CO2 recovered from the power plant exhaust stack to generate a variety of fuels and / or specialty chemicals. Steam from the power plant is used to make activated carbon from the char residue from pyrolysis. Revenue from the technology includes gate fees for MSW diverted from landfill, renewable electrical power to the grid, a variety of liquid hydrocarbon fuels and activated carbon.

The application discloses a pasture seeding device and method, and belongs to the technical field of seeding devices, which comprises a rack, walking mechanisms arranged on the left and right sides of the rack, a generator, a seeding device and a control box sequentially arranged in the rack from back to front, the generator being used for supplying power to the walking mechanisms, the seeding device and the control box, control elements arranged in the control box, the control elements being used for controlling the walking mechanisms to move and controlling the seeding device to seed, the seeding device comprising a discharging machine, a puncher and a compactor, the puncher being used for punching a planting hole on the ground, and the discharging machine being used for releasing seeds into the planting hole. The walking mechanisms, the discharging machine, the puncher and the compactor are arranged, the walking mechanisms stop after walking a set distance, the puncher punches a planting hole on the ground, the discharging machine releases seeds into the planting hole, and the compactor is used for compacting the planting hole, so that the seeding purpose is achieved, and the seeding purpose can be achieved without large-area rotary plowing of land.

The utility model relates to the field of forestry grassland survey technology, and puts forward a kind of soil sampling device for forestry grassland survey, including support frame, the lower end inner wall fixed mounting of support frame has first electric telescopic handle, and the upper end middle part rotationally connected of support frame has rotating shaft, second electric telescopic handle is installed in the front end of support frame, and the upper output end fixed mounting of second electric telescopic handle has sliding block, and sliding block is in the front end opening of support frame and is in up-down sliding structure, and the lateral wall of sliding block is fixedly connected with limit slot, the fixed block is fixedly connected in the middle part outer surface of rotating shaft, and the two ends of fixed block are respectively penetrated and connected in the inside of weeding barrel and sampling barrel, the limit magnet is fixedly connected in the lateral wall of weeding barrel and sampling barrel.This soil sampling device for forestry grassland survey, when sampling, avoid longer grass winding on spiral sampling rod, influence sampling, also convenient for sample soil to be collected to take out.

The invention provides a meadow restoration evaluation method and system based on an unmanned aerial vehicle, and relates to the technical field of meadow ecological monitoring, and the method comprises the steps: obtaining an original hyperspectral image of a to-be-restored meadow; performing zero filling and sliding window segmentation operation on the preprocessed original hyperspectral image; constructing a double-branch convolutional neural network model comprising a spectrum branch module and a space branch module; inputting the grassland restoration evaluation data set into the double-branch convolutional neural network model; performing spectral feature extraction on the grassland restoration evaluation data set through a first convolution kernel and a channel attention mechanism in the spectral branch module; through a second convolution kernel and a space attention mechanism in the space branch module, space texture feature extraction is carried out on the grassland restoration evaluation data set; fusing the spectral features with the spatial texture features to obtain fused features; and inputting the fusion features into a classifier, and outputting a restoration evaluation result of the to-be-restored meadow.