2019
DOI: 10.1007/978-981-15-0663-5_13
|View full text |Cite
|
Sign up to set email alerts
|

Frost Prediction in Highland Crops Management Using IoT-Enabled System and Multiple Regression

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
7
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
8
2

Relationship

0
10

Authors

Journals

citations
Cited by 14 publications
(7 citation statements)
references
References 20 publications
0
7
0
Order By: Relevance
“…The study is quantitative research focused on the assessment of the Open High School Program in the Philippine context. Accordingly, quantitative methods in education engage in the science and practice of educational measurement and evaluation, primarily through the development and application of statistical methods, informed by the study of teaching and learning statistics (Mendez & Dasig, 2020;. The descriptive method was employed in this study.…”
Section: Methodsmentioning
confidence: 99%
“…The study is quantitative research focused on the assessment of the Open High School Program in the Philippine context. Accordingly, quantitative methods in education engage in the science and practice of educational measurement and evaluation, primarily through the development and application of statistical methods, informed by the study of teaching and learning statistics (Mendez & Dasig, 2020;. The descriptive method was employed in this study.…”
Section: Methodsmentioning
confidence: 99%
“…The researcher utilized a quantitative descriptive research design to determine the perceptions of the academic managers/ leaders of selected higher education institutions in the Philippines (Mendez & Dasig, 2020;Yipeng, 2021). A Purposive Sampling or Convenient Sampling (Dasig Jr & Pascua, 2016) was utilized to gather online responses from 100 purposively selected participants who were administrators of higher education institutions in the Philippines.…”
Section: Methodsmentioning
confidence: 99%
“…The emergence of technological shift has also improved data mining techniques because of emerging tools and software applications capable to process big data analytics. These analytical applications support the Descriptive Analytics, Predictive Analytics and Prescriptive Analytics that can be integrated in the information system [36,37,38] Predictive Analytics is a lens of business analytics in which tools or system provides prediction and forecasted results [39,37] and [40]. Although there are tough challenges and repercussions in implementing these processes and information management innovation [21] it improved businesses and organizations as to the forecasting factors considered such as operations, budgets, supplies and product or services demands [61].…”
Section: B Data Mining and Predictive Analyticsmentioning
confidence: 99%