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Updated: Sep 16, 2025

PTR-ToF-MS Coupled with an Automated Sampling System and Tailored Data Analysis for Food Studies: Bioprocess Monitoring, Screening and Nose-space Analysis
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PTR-ToF-MS Coupled with an Automated Sampling System and Tailored Data Analysis for Food Studies: Bioprocess Monitoring, Screening and Nose-space Analysis

Published on: May 11, 2017

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基于机器学习的日期保质期估计器使用多通道气体传感器:提高粮食安全

Asrar U Haque1, Mohammad Akeef Al Haque2, Abdulrahman Alabduladheem3

  • 1Department of Computer Science, College of Computer Science and Information Technology CCSIT, King Faisal University, Al AHSA 31982, Saudi Arabia.

Sensors (Basel, Switzerland)
|July 12, 2025
PubMed
概括

这项研究介绍了一个物联网系统,使用气体传感器和机器学习来预测日果的保质期. 这种新的方法提供了一种低成本的客观方法,用于实时检测损坏,提高粮食安全.

关键词:
DHT11 传感器传感器这就是为什么物联网是物联网物联网.冷藏室 (CSR) 是一个冷藏室.时间 时间 时间 时间 时间边缘冲动冲动是一种冲动.粮食安全 粮食安全气体度 气体度 气体度机器学习 (ML) 是指机器学习.多通道气体传感器相对湿度 (RH) 是相对的湿度.保质期 货架使用寿命

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Like all living organisms, plants require organic and inorganic nutrients to survive, reproduce, grow and maintain homeostasis. To identify nutrients that are essential for plant functioning, researchers have leveraged a technique called hydroponics. In hydroponic culture systems, plants are grown—without soil—in water-based solutions containing nutrients. At least 17 nutrients have been identified as essential elements required by plants. Plants acquire these elements from the...
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