From climate to crop: Unveiling the impact of agro-climate dataset on rice yield in Cotabato Province

This data article presents a dataset that analyzes the trends in climatic factors and rice yield in Cotabato Province, a key contributor to the country's rice output. The dataset was collected from the Office of the Provincial Agriculturist and NASA's POWER Prediction Of Worldwide Energy R...

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Main Authors: Reymark D. Delena, Marivic S. Tangkeko, Joseph C. Sieras
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340923008235
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author Reymark D. Delena
Marivic S. Tangkeko
Joseph C. Sieras
author_facet Reymark D. Delena
Marivic S. Tangkeko
Joseph C. Sieras
author_sort Reymark D. Delena
collection DOAJ
description This data article presents a dataset that analyzes the trends in climatic factors and rice yield in Cotabato Province, a key contributor to the country's rice output. The dataset was collected from the Office of the Provincial Agriculturist and NASA's POWER Prediction Of Worldwide Energy Resources (POWER) dataset agro-climate dataset from 2007 to 2021. Moreover, the data was processed using Extract, Transform, and Loading (ETL) method, and multivariate linear regression analysis was conducted to identify the agro-climates that significantly influence the production of irrigated and rainfed rice. Further, the explanatory factors that significantly influence the production of rice were determined and presented in an Analytical Dashboard. The dataset has great reuse potential for predictive analytics research at the municipal level, which can provide more detailed insights into the agro-climates of different municipalities in Cotabato Province. Moreover, the dataset can also be used to distribute different varieties of rice that can withstand the effects of climate change to the municipalities of Cotabato. Overall, this dataset provides valuable insights into the relationship between agro-climate and rice production in Cotabato Province and can inform future decision-making and resource allocation in the region.
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spelling doaj.art-f3f0b693a4924788b9f9fb5c7a616c3a2023-12-02T07:00:20ZengElsevierData in Brief2352-34092023-12-0151109754From climate to crop: Unveiling the impact of agro-climate dataset on rice yield in Cotabato ProvinceReymark D. Delena0Marivic S. Tangkeko1Joseph C. Sieras2Department of Information Sciences, College of Information and Computing Sciences, Mindanao State University, Marawi City, Philippines; Corresponding author.Department of Information Technology, College of Computer Studies, De La Salle University, Manila City, PhilippinesDepartment of Information Sciences, College of Information and Computing Sciences, Mindanao State University, Marawi City, PhilippinesThis data article presents a dataset that analyzes the trends in climatic factors and rice yield in Cotabato Province, a key contributor to the country's rice output. The dataset was collected from the Office of the Provincial Agriculturist and NASA's POWER Prediction Of Worldwide Energy Resources (POWER) dataset agro-climate dataset from 2007 to 2021. Moreover, the data was processed using Extract, Transform, and Loading (ETL) method, and multivariate linear regression analysis was conducted to identify the agro-climates that significantly influence the production of irrigated and rainfed rice. Further, the explanatory factors that significantly influence the production of rice were determined and presented in an Analytical Dashboard. The dataset has great reuse potential for predictive analytics research at the municipal level, which can provide more detailed insights into the agro-climates of different municipalities in Cotabato Province. Moreover, the dataset can also be used to distribute different varieties of rice that can withstand the effects of climate change to the municipalities of Cotabato. Overall, this dataset provides valuable insights into the relationship between agro-climate and rice production in Cotabato Province and can inform future decision-making and resource allocation in the region.http://www.sciencedirect.com/science/article/pii/S2352340923008235Cotabato ProvinceIrrigated and rainfed rice productionAnalytical dashboardClimate datasetData Visualization
spellingShingle Reymark D. Delena
Marivic S. Tangkeko
Joseph C. Sieras
From climate to crop: Unveiling the impact of agro-climate dataset on rice yield in Cotabato Province
Data in Brief
Cotabato Province
Irrigated and rainfed rice production
Analytical dashboard
Climate dataset
Data Visualization
title From climate to crop: Unveiling the impact of agro-climate dataset on rice yield in Cotabato Province
title_full From climate to crop: Unveiling the impact of agro-climate dataset on rice yield in Cotabato Province
title_fullStr From climate to crop: Unveiling the impact of agro-climate dataset on rice yield in Cotabato Province
title_full_unstemmed From climate to crop: Unveiling the impact of agro-climate dataset on rice yield in Cotabato Province
title_short From climate to crop: Unveiling the impact of agro-climate dataset on rice yield in Cotabato Province
title_sort from climate to crop unveiling the impact of agro climate dataset on rice yield in cotabato province
topic Cotabato Province
Irrigated and rainfed rice production
Analytical dashboard
Climate dataset
Data Visualization
url http://www.sciencedirect.com/science/article/pii/S2352340923008235
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