科研产出
- 时间
- 相关度
1ResNet and MaxEnt modeling for quality assessment of Wolfiporia cocos based on FT-NIR fingerprints
作者：
机构：
来源：FRONTIERS IN PLANT SCIENCE
关键词： Wolfiporia cocos; fingerprints; residual convolutional neural network; quality assessment; maximum entropy model
年份：2022
2Machine learning applications for multi-source data of edible crops: A review of current trends and future prospects
作者：
机构：
来源：FOOD CHEMISTRY-X
关键词： Machine learning; Edible crops; Multi-source data; Data fusion strategy; Quality evaluation
年份：2023
3Development of machine learning models using multi-source data for geographical traceability and content prediction of Eucommia ulmoides leaves
作者：
机构：
来源：SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
关键词： Machine learning; Eucommia ulmoides leaves; Geographical traceability; Content prediction; Quality evaluation
年份：2024
4Recent trends of machine learning applied to multi-source data of medicinal plants
作者：
机构：
来源：JOURNAL OF PHARMACEUTICAL ANALYSIS
关键词： Machine learning; Medicinal plant; Multi-source data; Data fusion; Application
年份：2023
首页上一页1下一页尾页
