Survey on Application of Intelligent Agriculture Based on Deep Belief Network

Yuanyuan Zhang, Shengwei Shi

2022

Abstract

With the improvement of modern technology, agricultural development continues to be precise, refined and intelligent. The traditional model has low recognition accuracy. Deep belief network (DBN) has strong feature extraction and learning ability. Based on the principle of transmission DBN network, this paper gives the application research progress of the model in intelligent agriculture from the perspective of DBN improvement direction, and finally discusses the challenges and new directions of DBN in the application field of intelligent agriculture.

Paper Citation

in Harvard Style

Zhang Y. and Shi S. (2022). Survey on Application of Intelligent Agriculture Based on Deep Belief Network. In Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI; ISBN 978-989-758-620-0, SciTePress, pages 739-744. DOI: 10.5220/0011757800003607

in Bibtex Style

@conference{icpdi22,
author={Yuanyuan Zhang and Shengwei Shi},
title={Survey on Application of Intelligent Agriculture Based on Deep Belief Network},
booktitle={Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI},
year={2022},
pages={739-744},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011757800003607},
isbn={978-989-758-620-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI
TI - Survey on Application of Intelligent Agriculture Based on Deep Belief Network
SN - 978-989-758-620-0
AU - Zhang Y.
AU - Shi S.
PY - 2022
SP - 739
EP - 744
DO - 10.5220/0011757800003607
PB - SciTePress