The Study of a Crop and Energy Information System Based on Big Data

碩士 === 國立暨南國際大學 === 資訊管理學系 === 102 === Big data bring the new methodology of data collection and analysis. Therefore, the importance of how to analyze the information to help decision makers in massive data sets is critical. The issues of energy shortage and crop crisis are related to livelihood,...

Full description

Bibliographic Details
Main Authors: Shu-Yu Chen, 陳姝妤
Other Authors: Ping-Feng Pai
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/42734768586650793368
id ndltd-TW-102NCNU0396047
record_format oai_dc
spelling ndltd-TW-102NCNU03960472016-02-21T04:27:01Z http://ndltd.ncl.edu.tw/handle/42734768586650793368 The Study of a Crop and Energy Information System Based on Big Data 以海量資料為基礎之作物與能源資訊系統 Shu-Yu Chen 陳姝妤 碩士 國立暨南國際大學 資訊管理學系 102 Big data bring the new methodology of data collection and analysis. Therefore, the importance of how to analyze the information to help decision makers in massive data sets is critical. The issues of energy shortage and crop crisis are related to livelihood, environment and economics of human beings. Hence, efficient usage of energy should receiving more attention by decision makers to minimize the destruction to the environment. There are a lot of studies about energy and crop in the past few years, scholar focused on single issue about energy or crop. This study find literature reviews to explore the factors that will influence on energy and crop. Discussing the relationship between energy and crop in terms of big data. Using data transverse linking to connect energy and crop. Based on big data, the study will develop a crop and energy information system, providing the evaluation for decision makers to improve the decisions. Ping-Feng Pai 白炳豐 2014 學位論文 ; thesis 65 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立暨南國際大學 === 資訊管理學系 === 102 === Big data bring the new methodology of data collection and analysis. Therefore, the importance of how to analyze the information to help decision makers in massive data sets is critical. The issues of energy shortage and crop crisis are related to livelihood, environment and economics of human beings. Hence, efficient usage of energy should receiving more attention by decision makers to minimize the destruction to the environment. There are a lot of studies about energy and crop in the past few years, scholar focused on single issue about energy or crop. This study find literature reviews to explore the factors that will influence on energy and crop. Discussing the relationship between energy and crop in terms of big data. Using data transverse linking to connect energy and crop. Based on big data, the study will develop a crop and energy information system, providing the evaluation for decision makers to improve the decisions.
author2 Ping-Feng Pai
author_facet Ping-Feng Pai
Shu-Yu Chen
陳姝妤
author Shu-Yu Chen
陳姝妤
spellingShingle Shu-Yu Chen
陳姝妤
The Study of a Crop and Energy Information System Based on Big Data
author_sort Shu-Yu Chen
title The Study of a Crop and Energy Information System Based on Big Data
title_short The Study of a Crop and Energy Information System Based on Big Data
title_full The Study of a Crop and Energy Information System Based on Big Data
title_fullStr The Study of a Crop and Energy Information System Based on Big Data
title_full_unstemmed The Study of a Crop and Energy Information System Based on Big Data
title_sort study of a crop and energy information system based on big data
publishDate 2014
url http://ndltd.ncl.edu.tw/handle/42734768586650793368
work_keys_str_mv AT shuyuchen thestudyofacropandenergyinformationsystembasedonbigdata
AT chénshūyú thestudyofacropandenergyinformationsystembasedonbigdata
AT shuyuchen yǐhǎiliàngzīliàowèijīchǔzhīzuòwùyǔnéngyuánzīxùnxìtǒng
AT chénshūyú yǐhǎiliàngzīliàowèijīchǔzhīzuòwùyǔnéngyuánzīxùnxìtǒng
AT shuyuchen studyofacropandenergyinformationsystembasedonbigdata
AT chénshūyú studyofacropandenergyinformationsystembasedonbigdata
_version_ 1718193451001970688