Open AccessA Study of Big Data Application in Agriculture
Author(s) -
Jia Chen,
Shouwu He,
Xiaoying Li
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1757/1/012107
Subject(s) - big data , informatization , agriculture , data science , computer science , precision agriculture , data analysis , analytics , data integration , data mining , world wide web , geography , archaeology
Agricultural data is typically characterized by at least 3 characteristics: massive data volume, various data sources, and complex structure. With the popularization of next-generation information technology, precision agriculture has become an emergent development direction in agricultural informatization. This paper proposed a big data application framework for precision agriculture. The model includes data sources, data integration, and data analytics. Use of big data application provides better guidance for precision agricultural.