Jove
Visualize
联系我们

相关概念视频

Microorganisms in Agriculture and Food industry01:27

Microorganisms in Agriculture and Food industry

1.3K
Microorganisms play a crucial role in agriculture and the food industry, contributing to soil fertility, crop protection, and food production. Their functions range from nitrogen fixation and biopesticide production to fermentation and food preservation, making them indispensable to sustainable farming and food safety.Role in AgricultureNitrogen-fixing bacteria, such as Rhizobium (symbiotic) and Azotobacter (free-living), convert atmospheric nitrogen into ammonia through biological nitrogen...
1.3K
Plant Breeding and Biotechnology01:59

Plant Breeding and Biotechnology

21.4K
Crop cultivation has a long history in human civilization, with records showing the cultivation of cereal plants beginning at around 8000 BC. This early plant breeding was developed primarily to provide a steady supply of food.
21.4K
Law of Effect01:06

Law of Effect

2.4K
B.F. Skinner, a prominent figure in behavioral psychology, introduced operant conditioning by emphasizing the role of consequences in shaping behavior. This theory builds upon the law of effect proposed by Edward Thorndike, which posits that behaviors followed by satisfying outcomes are likely to be repeated. In contrast, those followed by unsatisfying outcomes are less likely to recur.
Edward Thorndike's foundational work involved studying learning in animals, particularly using puzzle...
2.4K
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

6.1K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
6.1K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Therapeutic Management of Probiotics and Prebiotic Products to Modulate Gut Microbiome by Healthcare Services.

Microorganisms·2026
Same author

Artificial Intelligence for the Food Industry.

Foods (Basel, Switzerland)·2026
Same author

Renewable energy-based drying of medicinal plants: enhancing efficiency, phytochemical retention, and quality.

Journal of the science of food and agriculture·2026
Same author

Recent Advances in Food Drying Modeling: Empirical to Multiscale Physics-Informed Neural Networks.

Comprehensive reviews in food science and food safety·2025
Same author

Omega-3 Fatty Acid Fortification of Plant-Based Beverages to Enhance Their Nutritional Profile.

Foods (Basel, Switzerland)·2025
Same author

Sustainable Extraction of Fresh Banana Inflorescence by ASE: Optimization and Characterization of Anthocyanin Rich Extracts by LC-UV-MS/MS.

Foods (Basel, Switzerland)·2025
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关实验视频

Updated: Jan 13, 2026

Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.9K

机器学习在改变食品工业中的作用

Malik A Hussain1, Md Imran H Khan2, Azharul Karim2

  • 1School of Science, Western Sydney University, Richmond, NSW 2753, Australia.

Foods (Basel, Switzerland)
|January 10, 2026
PubMed
概括

人工智能 (AI) 和机器学习 (ML) 为食品行业提供了创新的解决方案. 这些技术可以优化食品加工,提高可追溯性,提高整个农业食品行业的可持续性.

科学领域:

  • 食品科学与技术 食品科学与技术
  • 人工智能的人工智能
  • 机器学习 机器学习

背景情况:

  • 人工智能 (AI) 的进步正在推动食品行业的创新.
  • 机器学习 (ML) 模型在食品加工行业的应用方面显示出显著的前景.
  • 复杂的食品加工操作涉及同时传递热量,质量和动量.

研究的目的:

  • 探索基于ML的工具在优化食品加工条件中的应用.
  • 突出ML在提高食品可追溯性和质量保证方面的作用.
  • 确定ML在推动农业食品部门生产力和可持续性的潜力.

主要方法:

  • 使用基于ML的模型来对食品材料进行分类.
  • 使用ML工具来预测食品加工动力学.
  • 利用ML技术来实现农场到叉口的可追溯性和质量控制.

主要成果:

  • 机器学习模型可以有效地预测优化条件的处理动力学.
  • ML提高了食品来源和质量的透明度和可追溯性.
  • ML为消费者提供了更可靠的产品信息.

结论:

关键词:
农业食品部门 农业食品部门人工智能的人工智能是人工智能.食品加工 食品加工 食品加工机器学习是机器学习.可持续性 可持续性 可持续性

更多相关视频

Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method
06:21

Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method

Published on: February 19, 2021

6.2K
PTR-ToF-MS Coupled with an Automated Sampling System and Tailored Data Analysis for Food Studies: Bioprocess Monitoring, Screening and Nose-space Analysis
08:43

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

12.9K

相关实验视频

Last Updated: Jan 13, 2026

Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.9K
Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method
06:21

Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method

Published on: February 19, 2021

6.2K
PTR-ToF-MS Coupled with an Automated Sampling System and Tailored Data Analysis for Food Studies: Bioprocess Monitoring, Screening and Nose-space Analysis
08:43

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

12.9K
  • 在整个农业食品行业,ML工具具有显著的未开发潜力.
  • 人工智能和机器学习可以加速开发机会,提高生产力和利能力.
  • 这些技术是推动粮食生产未来可持续发展的关键.