受邀审查:为以价值为导向的乳制品养殖业提供数据
Sumit Sharma1, Enhong Liu1, Meike van Leerdam1
1Department of Animal Science, College of Agriculture and Life Sciences, Cornell University, Ithaca, NY 14853.
Journal of dairy science
|February 12, 2026
概括
精密乳制品农业使用数据驱动技术来提高生产率和利能力. 关键领域包括人工智能集成,技术采用,数据管理和跨部门洞察力,以实现乳制品行业的弹性.
科学领域:
- 农业技术 农业技术
- 数据科学在农业中的应用
- 乳制品管理系统 乳制品管理系统
背景情况:
- 精密乳制品养殖利用数据驱动技术来改变全球乳制品行业.
- 人工智能 (AI),可持续性和创新的整合对于提高效率至关重要.
研究的目的:
- 审查当前的知识和精准奶牛养殖新兴的想法.
- 为利益相关者提供关于采用数据驱动技术的建议.
主要方法:
- 探索关键领域:数据的经济价值,人工智能集成,技术采用驱动因素/障碍,可持续的数据管理和医疗保健跨部门洞察力.
- 讨论人工智能,基于传感器的监控和自动化等新兴技术.
主要成果:
- 数据优化可以提高生产力和利能力.
- 人工智能,可持续性和创新推动了奶牛养殖的效率.
- 了解采用驱动因素/障碍,并确保可持续的数据管理是至关重要的.
结论:
- 优先考虑可持续的数据管理,明确的数据所有权和网络安全至关重要.
- 投资数据基础设施和跨学科合作对于推进乳制品行业至关重要.
- 需要展望未来的观点来塑造一个有弹性,高效和以技术为导向的乳制品行业.
相关概念视频
Review and Preview
8.4K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview
11.6K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.6K
How Data are Classified: Categorical Data
45.2K
A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
45.2K
ATP Driven Pumps I: An Overview
10.0K
ATP-driven pumps, also known as transport ATPases, are integral membrane proteins. They have binding sites for ATP located on the membrane's cytosolic side and the ion-conducting domain in the transmembrane region. These pumps use the free energy released from ATP hydrolysis to move the solutes across cell membranes against an electrochemical gradient.
There are four main types of ATP-driven pumps - P-type, V-type, F-type, and ABC transporter. All these pumps are of varying complexities and...
There are four main types of ATP-driven pumps - P-type, V-type, F-type, and ABC transporter. All these pumps are of varying complexities and...
10.0K
How Data are Classified: Numerical Data
38.4K
Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
38.4K
Data Reporting and Recording
5.5K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
5.5K


