Physicochemical quality detection of wheat during hot air drying based on hyperspectral imaging combined with machine learning

待确认 10 由犇发布于 2026/7/14 16:24:27

DOI:10.1016/j.foodres.2026.119175
作者：Qingqing Jiao ,?Shaojin Wang ,?Xiangyu Guan ,?Xinge Quan ,?Rongyao Zhang ,?Zhanhua Song ,?Mochen Liu ,?Jing Wang ,?Chengpeng Cui ,?Tiexin Wang ,?Yao Lu ,?Yinfa Yan
文献类型：期刊论文
补充材料：只需要正文

Elsevier

Abstract：Hot air drying is widely used for wheat due to simple operation, but research on the intelligent regulation of the drying system based on product quality is limited. This study explored the

应助信息

等待求助人确认

求助人未确认前，本求助不能再次应助。36小时后系统将自动确认应助成功。本求助将自动关闭。

1天前

wanguiying

0014de627f5f11f1b03634735aa3bc31.pdf

1天前

Book学术机器人

2026/7/14 16:24:27 未找到该文献，机器人已退出，请等待人工下载

2026/7/14 16:24:27 Book学术AI机器人收到请求，开始寻找文献

2026/7/14 16:24:27 已向机器人发送请求

1天前

犇发布求助

上一个求助:其它数据库Naturally Fractured Carbonate Reservoir Characterization: A Case Study of a Mature High-Pour Point Oil Field in Hungary 下一个求助:ElsevierUnveiling varietal specificity in non-destructive grape quality monitoring: Explainable AI and feature selection for sugar and organic acid prediction using NIR spectroscopy