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资源类型: 外文期刊
作者:Zhao, Chunjiang(精确检索)
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326条记录
111Unveiling the hidden impact: How biodegradable microplastics influence CO 2 and CH 4 emissions and Volatile Organic Compounds (VOCs) profiles in soil ecosystems

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来源:JOURNAL OF HAZARDOUS MATERIALS

关键词: Biodegradable microplastics; Paddy and upland soils; Greenhouse gases; Volatile Organic Compounds; Optical gas sensor

年份:2024

112Determination of lead content in oilseed rape leaves in silicon-free and silicon environments based on deep transfer learning and fluorescence hyperspectral imaging

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来源:SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

关键词: Stacked convolution auto-encoder; Deep transfer learning; Silicon environment; Lead; Nondestructive testing

年份:2024

113Fruit flexible collecting trajectory planning based on manual skill imitation for grape harvesting robot

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来源:COMPUTERS AND ELECTRONICS IN AGRICULTURE

关键词: Trajectory planning; Manual skill imitation; Harvesting robot; Kernelized movement primitives; Optimization algorithm

年份:2024

114Rapid measurement of anthocyanin content in grape and grape Juice: Raman spectroscopy provides Non-destructive, rapid methods

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来源:COMPUTERS AND ELECTRONICS IN AGRICULTURE

关键词: Raman Spectroscopy; Grapes; Grape Juice; Anthocyanin Content; Non-destructive Rapid Quantification

年份:2024

115Large-scale and rapid perception of regional economic resilience from data-driven insights

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来源:INTERNATIONAL JOURNAL OF DIGITAL EARTH

关键词: COVID-19; undesired output; NO2; economic resilience; perceiving

年份:2024

116Development of surface molecular-imprinted electrochemical sensor for palmitic acid with machine learning assistance

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来源:TALANTA

关键词: Molecularly imprinted polymer; Palmitic acid; Electrochemical sensor; Artificial neural network

年份:2024

117Intermittent Stop-Move Motion Planning for Dual-Arm Tomato Harvesting Robot in Greenhouse Based on Deep Reinforcement Learning

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来源:BIOMIMETICS

关键词: motion planning; task allocation; deep reinforcement learning; dual-arm harvesting robot

年份:2024

118Review of the application of in-situ sensing techniques to address the tea growth characteristics from leaf to field

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来源:INTERNATIONAL JOURNAL OF AGRICULTURAL AND BIOLOGICAL ENGINEERING

关键词: non-destructive; in-situ detection; tea plants; growth characteristics; sensors

年份:2024

119MTD-YOLO: Multi-task deep convolutional neural network for cherry tomato fruit bunch maturity detection

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来源:COMPUTERS AND ELECTRONICS IN AGRICULTURE

关键词: YOLOv7; Multi-task learning; Cherry tomato; Maturity

年份:2024

120Leaf phenotypic difference analysis and variety recognition of tea cultivars based on multispectral imaging technology

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来源:INDUSTRIAL CROPS AND PRODUCTS

关键词: Tea leaf phenotype; Germplasm resources; Multispectral imaging

年份:2024