科研产出
- 时间
- 相关度
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