Potential of IoT System and Cloud Services for Predicting Agricultural Pests and Diseases

Ntihemuka Materne, Masahiro Inoue

研究成果: Conference contribution

抜粋

Controlling the outbreaks of pests and diseases in agricultural environment, it is still a big challenge to the farmers due to the changing climatic conditions. In this paper we are proposing the alternative method of predicting occurrences of pest and diseases in the plantation, by combining the advantage of IoT farmland monitoring system and Amazon Machine Learning cloud-based services to find hidden patterns into data. Logistic regression algorithm used to train our IoT collected dataset and classify the data with acceptable model quality score, to estimate the diseases forecasting based on sensing technology.

元の言語English
ホスト出版物のタイトル2018 IEEE Region 10 Symposium, Tensymp 2018
出版者Institute of Electrical and Electronics Engineers Inc.
ページ298-299
ページ数2
ISBN(電子版)9781538669891
DOI
出版物ステータスPublished - 2019 4 15
外部発表Yes
イベント2018 IEEE Region 10 Symposium, Tensymp 2018 - Sydney, Australia
継続期間: 2018 7 12018 7 6

出版物シリーズ

名前2018 IEEE Region 10 Symposium, Tensymp 2018

Conference

Conference2018 IEEE Region 10 Symposium, Tensymp 2018
Australia
Sydney
期間18/7/118/7/6

    フィンガープリント

ASJC Scopus subject areas

  • Computer Science Applications
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Energy Engineering and Power Technology
  • Waste Management and Disposal
  • Health Informatics

これを引用

Materne, N., & Inoue, M. (2019). Potential of IoT System and Cloud Services for Predicting Agricultural Pests and Diseases. : 2018 IEEE Region 10 Symposium, Tensymp 2018 (pp. 298-299). [8691951] (2018 IEEE Region 10 Symposium, Tensymp 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TENCONSpring.2018.8691951