Advances in Sensors, Big Data and Machine Learning in Intelligent Animal Farming

Price: $72.96 – $64.86
(as of Dec 27,2024 10:12:20 UTC – Details)

Publisher ‏ : ‎ Mdpi AG (May 18, 2022)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 228 pages
ISBN-10 ‏ : ‎ 3036540350
ISBN-13 ‏ : ‎ 978-3036540351
Item Weight ‏ : ‎ 1.53 pounds
Dimensions ‏ : ‎ 6.69 x 0.75 x 9.61 inches

In recent years, there have been significant advances in the use of sensors, big data, and machine learning in the field of intelligent animal farming. These technologies have revolutionized the way farmers manage their livestock, leading to improved efficiency, productivity, and animal welfare.

Sensors play a crucial role in intelligent animal farming by collecting real-time data on various aspects of animal health, behavior, and environment. For example, sensors can monitor the temperature, humidity, and air quality in barns or pens, as well as track the movement and feeding habits of individual animals. This data can help farmers identify potential issues early on, such as signs of illness or stress, and take corrective actions to prevent disease outbreaks or other problems.

Big data analytics enables farmers to process and analyze large volumes of data collected by sensors, providing valuable insights into animal behavior and performance. By using advanced algorithms and machine learning techniques, farmers can identify patterns and trends in the data that may not be immediately apparent, allowing them to make more informed decisions about their livestock management practices.

Machine learning algorithms can also be used to develop predictive models that can forecast future outcomes, such as predicting the likelihood of a disease outbreak or the optimal time for breeding. By leveraging these predictive models, farmers can proactively manage their livestock and optimize their production processes, leading to higher yields and lower costs.

Overall, the integration of sensors, big data, and machine learning in intelligent animal farming has the potential to revolutionize the agriculture industry, improving animal welfare, sustainability, and profitability. As these technologies continue to evolve, we can expect to see even more innovative solutions that will help farmers meet the growing demand for high-quality, sustainable food production.
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