Proceedings of the 2nd International Conference on Smart and Innovative Agriculture (ICoSIA 2021)

Accumulation of Experimental Data for the Introduction of Smart Plant Protection Systems

Cases of Transboundary and High-risk Diseases

Authors
Takashi Fujikawa1, *
1Institute for Plant Protection, National Agriculture and Food Research Organization (NARO), Japan
*Corresponding author. Email: ftakashi@affrc.go.jp
Corresponding Author
Takashi Fujikawa
Available Online 10 March 2022.
DOI
10.2991/absr.k.220305.038How to use a DOI?
Keywords
citrus greening; huanglongbing (HLB); Candidatus Liberibacter asiaticus (Las); Candidatus Liberibacter solanacearum (Lso); Pseudomonas syringae pv. actinidiae (Psa); PCR detection; genome; seed-transmissibility
Abstract

Smart agriculture will be essential for sustainable food production. Above all, the implementation of smart plant protection is highly expected as a way to protect crops from pests. However, for this purpose, it is necessary to collect a lot of experimental data, link it with various information, and analyze them. This topic introduces three transboundary and high-risk diseases and shows how each experimental data relates to smart plant protection.

Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the 2nd International Conference on Smart and Innovative Agriculture (ICoSIA 2021)
Series
Advances in Biological Sciences Research
Publication Date
10 March 2022
ISBN
10.2991/absr.k.220305.038
ISSN
2468-5747
DOI
10.2991/absr.k.220305.038How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Takashi Fujikawa
PY  - 2022
DA  - 2022/03/10
TI  - Accumulation of Experimental Data for the Introduction of Smart Plant Protection Systems
BT  - Proceedings of the 2nd International Conference on Smart and Innovative Agriculture (ICoSIA 2021)
PB  - Atlantis Press
SP  - 249
EP  - 254
SN  - 2468-5747
UR  - https://doi.org/10.2991/absr.k.220305.038
DO  - 10.2991/absr.k.220305.038
ID  - Fujikawa2022
ER  -