A Standard Architecture of Agricultural Big Data for Deep Learning

Abstract

Agricultural big data has become a key resource for the development of modern agriculture, and has occupied an important role in the field of agricultural scientific and technological innovation. With the development of deep learning in recent years, we can effectively improve agricultural production efficiency by existing agricultural data sets to build deep learning algorithm models. There are new ideas to explore the standard architecture of agricultural big data. By formulating standard and standardizing agricultural data process, we established a standard architecture of agricultural big data for deep learning. The result can promote the implementation of deep learning application, and support standardization of technological achievements transformation in agricultural big data.