Semantic Segmentation Based Field Detection Using Drones

被引：1

作者：

Endo, Keita ^{[1
]}

Kimura, Tomotaka ^{[2
]}

Itoh, Nobuhiko ^{[1
]}

Hiraguri, Takefumi ^{[1
]}

机构：

[1] Nippon Inst Technol, Saitama, Japan

[2] Doshisha Univ, Kyotanabe, Kyoto, Japan

来源：

2022 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN, IEEE ICCE-TW 2022 | 2022年

关键词：

D O I：

10.1109/ICCE-TAIWAN55306.2022.9869088

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Smart agriculture has been garnering attention to improve the efficiency of works. For example, advanced technologies such as drones and Artificial Intelligence (AI) may reduce labor, increase productivity, and grow high-quality crops. The aim of our study is to photograph fields of green onions from the sky using drones, then to predict the harvest time and observe the growth situation using AI image analysis. Therefore, in this paper, we proposed basic technology for area section classification of each field by using segmentation method using deep learning to analyze the cultivation situation of each field.

引用

页码：213 / 214

页数：2

共 50 条

[41] Semantic Segmentation of PolSAR Images Using Conditional Random Field Model Based on Deep Features
Hu, Tao
Li, Wei-hua
Qin, Xian-xiang
2018 INTERNATIONAL CONFERENCE ON COMPUTER INFORMATION SCIENCE AND APPLICATION TECHNOLOGY, 2019, 1168
[42] A Violent Video Detection Method Based on Image Semantic Segmentation
Zhang, Lei
Zhao, Zihao
Wu, Shuai
Yang, Suqing
Liu, Minghao
MOBILE INFORMATION SYSTEMS, 2022, 2022
[43] Flotation bubble size distribution detection based on semantic segmentation
Zhang, Lei
Xu, Degang
IFAC PAPERSONLINE, 2020, 53 (02): : 11842 - 11847
[44] Recognition and segmentation of maize seedlings in field based on dual attention semantic segmentation network
Wang C.
Wu X.
Zhang Y.
Wang W.
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2021, 37 (09): : 211 - 221
[45] A Semantic Segmentation Method for Dam Leakage Detection Based on FCN
Zhang Jun
Yan Zhaohui
Ma Xinlong
Cai Xingguo
2020 5TH INTERNATIONAL CONFERENCE ON MATERIALS SCIENCE, ENERGY TECHNOLOGY AND ENVIRONMENTAL ENGINEERING, 2020, 571
[46] Drainage Pipeline Defect Detection System Based on Semantic Segmentation
Du, Chun
Wang, Kunpeng
SYMMETRY-BASEL, 2024, 16 (11):
[47] Semantic Segmentation Based Traffic Light Detection at Day and at Night
Haltakov, Vladimir
Mayr, Jakob
Unger, Christian
Ilic, Slobodan
PATTERN RECOGNITION, GCPR 2015, 2015, 9358 : 446 - 457
[48] Semantic Segmentation-based Label Position Defect Detection
Yue, Hongwei
Jin, Yingying
2024 9TH INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING, ICSIP, 2024, : 602 - 606
[49] Remote Sensing Building Detection Based on Binarized Semantic Segmentation
Zhu Tianyou
Dong Feng
Gong Huixing
ACTA OPTICA SINICA, 2019, 39 (12)
[50] A Fusion Model for Saliency Detection Based on Semantic Soft Segmentation
Tao, Jie
Wu, Yaocai
Zhou, Xiaolong
Shao, Qike
Chan, Sixian
ELECTRONICS, 2022, 11 (17)

← 1 2 3 4 5 →