Vertical Farming Perspectives in Support of Precision Agriculture Using Artificial Intelligence: A Review

被引:21
|
作者
Siregar, Riki Ruli A. [1 ]
Seminar, Kudang Boro [2 ]
Wahjuni, Sri [1 ]
Santosa, Edi [3 ]
机构
[1] IPB Univ Indonesia, Dept Comp Sci, Bogor 16680, Indonesia
[2] IPB Univ Indonesia, Dept Agr Technol, Bogor 16680, Indonesia
[3] IPB Univ Indonesia, Fac Agr, Dept Agron & Hort, Bogor 16680, Indonesia
关键词
vertical farming; artificial intelligence; machine learning; deep learning; internet of things (IoT); SMART AGRICULTURE; INTERNET; THINGS; CHALLENGES; FRAMEWORK;
D O I
10.3390/computers11090135
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Vertical farming is a new agricultural system which aims to utilize the limited access to land, especially in big cities. Vertical agriculture is the answer to meet the challenges posed by land and water shortages, including urban agriculture with limited access to land and water. This research study uses the Preferred Reporting for Systematic Review and Meta-analysis (PRISMA) item as one of the literary approaches. PRISMA is one way to check the validity of articles for a literature review or a systematic review resulting from this paper. One of the aims of this study is to review a survey of scientific literature related to vertical farming published in the last six years. Artificial intelligence with machine learning, deep learning, and the Internet of Things (IoT) in supporting precision agriculture has been optimally utilized, especially in its application to vertical farming. The results of this study provide information regarding all of the challenges and technological trends in the area of vertical agriculture, as well as exploring future opportunities.
引用
收藏
页数:19
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