- Did the abstract tell you the three things I said it should? If not, what did it tell you? (NB If your paper doesn’t have an abstract, it is not an academic research paper!!! Go and find another one!)
It’s an analysis about Big data analytics and precision Animal Agriculture in machine learning and data mining.
They are trying to address the problem in animal agriculture in Livestock Enterprise(which is based one big data analytics, machine learning and data mining).
To address such a knowledge gap in this case and resolve such issue , they come up with an article outlines a framework for machine learning and data mining which offers a glimpse into how they can be used and applied to solve pressing problems in animal sciences. - What seems to be the research question(s) they were trying to answer ?
It’s clearly evident that they are tying to resolve the problems in precision agriculture based on big data and data mining. Also, they got a new framework for machine learning which can be applied to solve those problems in animal sciences. - What methods) did they use to answer the question(s)
With the help of data-intensive technologies, we can monitor animals continuously during production and this information can be used to improve health, welfare, performance and environmental load.
Also, they used Predictive big data analysis methods to improve the animal agriculture.
The emerging field of Machine learning and data mining are anticipated to an instrumental in helping meet the unsettled challenges faced by this animal agriculture.
Overview of big data analysis in animal science using machine learning and data mining tools.
- How credible do you think the paper is? (hint: look at who authors are and where and when it is published also compare what they were asking with what they did)
I predict that this article more useful for the animal agriculture around the globe. Because, they have addressed the issues and discovered a framework for machine learning and data mining which helps to overcome this pressing problems in animal sciences. - Did you agree, or not, with what they wrote in their conclusion? Why?
Yes,I agree with this them. Because as far as I understood and the advancement they have initiated for this problem is really useful. However, they have to implement these steps in order to demonstrate. - Briefly describe two things that you learnt from the paper.
I have learned about the value of Data mining and machine learning tools for analyzing big data in animal sciences.
With the help of data mining techniques can advance the implementation of precision animal agriculture to extract critical information and predict observation from big data as well. - In no more than 250 of your own words (i.e. a paraphrase), describe what the paper is about – you could start with “This paper describes……….
In this article, the author describes about the problems faced in Animal Agriculture and in livestock enterprise. Considerable efforts have enabled for this animal science to embark on information technology to improve animal agriculture. Also, the increasing amount of data generated by these animal agriculture systems are expected to be resolved with the implementation of Data-intensive technologies.
They are depicting about animal science community today often lacks the infrastructure and tools to make full use of these new types of data.
It’s expected that predictive big data analysis will be inclining common across all science disciplines. In this paper the first step along with path involve grasping the advantages and pitfalls of these tools when applied to animal science specific domains are explained clearly.
In summary the emerging fields of machine learning and data mining are expected to be instrumental in helping meet the daunting challenges facing global agriculture. Yet, their impact and potential in big data analysis have not been adequately appreciated in the animal science community where this recognition has remained only fragmentary. To address such knowledge gaps, this article outlines a framework for machine learning data mining and offers a glimpse into how they can be applied to solve pressing problems in animal sciences.
References:
https://search-proquest-com.nmit.idm.oclc.org/docview/2041756843/fulltextPDF/51C94DD653E40E9PQ/6?accountid=40261
Balaji Blogposting for Research method 