期刊名称:International Journal of Electrical and Computer Engineering
电子版ISSN:2088-8708
出版年度:2021
卷号:11
期号:3
页码:2508
DOI:10.11591/ijece.v11i3.pp2508-2515
出版社:Institute of Advanced Engineering and Science (IAES)
摘要:Smart farm refers to a farm that can remotely and automatically maintain proper growth and management of crops and livestock by integrating technology with agriculture. Currently, smart farms are concentrated in the field of smart horticulture, and although spreading research is being conducted in limited spaces. In addition, it is difficult to obtain a sufficient amount of data to be used for learning, and there is a problem that data imbalance occurs because it is difficult to obtain a similar amount for each class. In this paper, we propose a method to amplify a small amount of data and to solve the problems of imbalance data by using a feature that can learn to mimic the data of a generative adversarial network. The proposed method can create dataset of various crops and also show high hit rate. Dataset generated from crops would be used to solve problems of data imbalance by learning.