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
收藏
页码：213 / 214
页数：2
相关论文
共 50 条
  • [21] Semantic segmentation-based skin cancer detection
    Renuka, N.
    SOFT COMPUTING, 2023, 27 (16) : 11895 - 11903
  • [22] Deep learning-based concrete defects classification and detection using semantic segmentation
    Arafin, Palisa
    Billah, A. H. M. Muntasir
    Issa, Anas
    STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2024, 23 (01): : 383 - 409
  • [23] Robust Concrete Crack Detection Using Deep Learning-Based Semantic Segmentation
    Lee, Donghan
    Kim, Jeongho
    Lee, Daewoo
    INTERNATIONAL JOURNAL OF AERONAUTICAL AND SPACE SCIENCES, 2019, 20 (01) : 287 - 299
  • [24] An Internet of Medical Things Based Liver Tumor Detection System using Semantic Segmentation
    Durrani, Mehr Yahya
    Yasmin, Sadaf
    Rho, Seungmin
    JOURNAL OF INTERNET TECHNOLOGY, 2022, 23 (02): : 363 - 375
  • [25] Robust Concrete Crack Detection Using Deep Learning-Based Semantic Segmentation
    Donghan Lee
    Jeongho Kim
    Daewoo Lee
    International Journal of Aeronautical and Space Sciences, 2019, 20 : 287 - 299
  • [26] Driver Seat Belt Detection Based on YOLO Detection and Semantic Segmentation
    Wu T.
    Zhang Z.
    Liu Y.
    Guo W.
    Wang Z.
    Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 2019, 31 (01): : 126 - 131
  • [27] Paddy field object detection for robotic combine based on real-time semantic segmentation algorithm
    Zhu, Jiajun
    Iida, Michihisa
    Chen, Sikai
    Cheng, Shijing
    Suguri, Masahiko
    Masuda, Ryohei
    JOURNAL OF FIELD ROBOTICS, 2024, 41 (02) : 273 - 287
  • [28] Robust Object Detection and Localization Using Semantic Segmentation Network
    Raghu, A. Francis Alexander
    Ananth, J. P.
    COMPUTER JOURNAL, 2021, 64 (10): : 1531 - 1548
  • [29] Spirochaeta Bacteria Detection Using an Effective Semantic Segmentation Technique
    Kulkarni, Apeksha
    Reddy, P. Sai Dinesh
    Bassi, Rishabh
    Kashyap, Suryakant Kumar
    Vijayalakshmi, M.
    COMPUTATIONAL VISION AND BIO-INSPIRED COMPUTING ( ICCVBIC 2021), 2022, 1420 : 355 - 365
  • [30] Cloud Detection Using Super Pixel Classification and Semantic Segmentation
    Liu, Han
    Du, Hang
    Zeng, Dan
    Tian, Qi
    JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2019, 34 (03) : 622 - 633
12345