科研产出
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11Research on the Shape Classification Method of Rural Homesteads Based on Parcel Scale-Taking Yangdun Village as an Example
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机构:
来源:REMOTE SENSING
关键词: homesteads; shape classification; parcel scale; fast Fourier transform; Hu invariant moments; BC shape index; AlexNet
年份:2023
12Combining vegetation, color, and texture indices with hyperspectral parameters using machine-learning methods to estimate nitrogen concentration in rice stems and leaves
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机构:
来源:FIELD CROPS RESEARCH
关键词: Rice; Nitrogen concentration; UAV; Machine learning; Vegetation index
年份:2023
13Removing temperature drift for bee colony weight measurements based on linear regression model and Kalman filter
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来源:BIOSYSTEMS ENGINEERING
关键词: bee colony weight; temperature drift; linear regression model; Kalman filter; precision beekeeping
年份:2023
14Research on a rapid identification method for counting universal grain crops
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机构:
来源:PLOS ONE
年份:2022
15Sampling Survey Method of Wheat Ear Number Based on UAV Images and Density Map Regression Algorithm
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机构:
来源:REMOTE SENSING
关键词: density map regression; sampling survey; UAVs; wheat ear number
年份:2023
16Rodent hole detection in a typical steppe ecosystem using UAS and deep learning
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来源:FRONTIERS IN PLANT SCIENCE
关键词: rodent monitoring; mouse hole detection; grassland protection; unmanned aircraft vehicle (UAV); object detection
年份:2022
17Wheat Growth Process 3D Visualization Research Based on Growth Model
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来源:COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE XI, PT I
关键词: Wheat; Effective accumulated temperature; Growth simulation model; Morphological structure model; 3D visualization
年份:2019
18DESIGN OF BEE PRODUCTS QUALITY MONITORING INFORMATION SERVICE PLATFORM
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机构:
来源:COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE II, VOLUME 3
关键词: bee products quality monitoring information traceability
年份:2009
19Research on Agent-Based Bee Product Traceability Platform and Barcode System
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机构:
来源:COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE V, PT I
关键词: bee product traceability system barcode
年份:2012
20Farmland Weed Species Identification Based on Computer Vision
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来源:COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE XI, PT I
关键词: Weed communities; Index extraction; Image processing; Class; Computer vision
年份:2019