Open Access
| Issue |
BIO Web Conf.
Volume 80, 2023
4th International Conference on Smart and Innovative Agriculture (ICoSIA 2023)
|
|
|---|---|---|
| Article Number | 06009 | |
| Number of page(s) | 7 | |
| Section | Smart and Precision Farming | |
| DOI | https://doi.org/10.1051/bioconf/20238006009 | |
| Published online | 14 December 2023 | |
- Mohamed, E., et al, 2021: Smart farming for improving agricultural management, The Egyptian Journal of Remote Sensing and Space Science, Volume 24, Issue 3, Part 2, December 2021, Pages 971-981 doi: 10.1016/j.ejrs.2021.08.00. [CrossRef] [Google Scholar]
- V. S. R, et al, 2022: Smart Farming: The IoT based Future Agriculture, 4th International Conference on Smart Systems and Inventive Technology (ICSSIT), pp. 150155 doi: 10.1109/ICSSIT53264.2022.9716331. [Google Scholar]
- Inoue, Y, 2020: Satelliteand drone-based remote sensing of crops and soils for smart farming, pp. 798-810, Soil Science and Plant Nutrition, Volume 66, 2020 Issue 6 doi: 10.1080/00380768.2020.173889. [CrossRef] [Google Scholar]
- Inoue, Y, Yokoyama, M, 2017: Drone-based Remote Sensing of Crops and Soils and Its Application to Smart Agriculture., Journal of the Remote Sensing Society of Japan 37: pp 224–235 [Google Scholar]
- Inoue, Y, et al, 2002: Season-long Daily Measurements of Multifrequency (Ka, Ku, X, C, and L) and Fullpolarization Backscatter Signatures over Paddy Rice Field and Their Relationship with Biological Variables, Remote Sensing of Environment 81: pp 194–204 [CrossRef] [Google Scholar]
- Hori, M., Murakami, H., Miyazaki, R., Honda, Y., Nasahara, K., Kajiwara, K., Nakajima, T. Y., Irie, H., Toratani, M., Hirawake, T., Aoki, T., 2018: GCOM-C Data Validation Plan for Land, Atmosphere, Ocean, and Cryosphere. Trans. JSASS Aerospace Tech. Japan, Vol. 16, No. 3, 218-223. doi: 10.2322/tastj.16.21. [Google Scholar]
- Tanaka, K., Okamura, Y., Mokuno, M., Amano, T., Yoshida, J., 2018: First year on-orbit calibration activities of SGLI on GCOM-C satellite, Proc. SPIE 10781, Earth Observing Missions and Sensors: Development, Implementation, and Characterization V, 107810 doi: 10.1117/12.232470. [Google Scholar]
- Kachi, M., et al., 2014: Recent improvements in the global satellite mapping of precipitation (GSMaP). IEEE Geoscience and Remote Sensing Symposium, 37623765, Doi.org/10.1109/IGARSS.2014.6947302. [Google Scholar]
- Tadono, T., Ishida, F., Oda, S., Naito, K., Minakawa, H., 2014: Precise Global DEM Generation By ALOS PRISM. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol.II-4, 71-76. [Google Scholar]
- Sobue, S., 2017: Status of the advanced land observing satellite-2 (ALOS-2) and its follow-on L-band SAR mission. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2427-2429. [Google Scholar]
- FAOSTAT, 2018: Food and Agriculture Organization Corporate Statistical Database (FAOSTAT) 29. [Google Scholar]
- MAFF: Development of Smart Agriculture, https://www.maff.go.jp/e/policies/tech_res/smaagri/rob ot.html [Google Scholar]
- JASMAI: https://jasmai.maff.go.jp/en/ [Google Scholar]
- JAXA INAHOR: https://www.eorc.jaxa.jp/SAFE/project/ricemonitoring/04-20221114_INAHOR_on_GEE_Tutorial_FinalVer_221 110.pdf [Google Scholar]
- APRSAF SAFE: https://www.eorc.jaxa.jp/SAFE/ [Google Scholar]
- GEOGLAM Asia Rice : http://asia-rice.org/ [Google Scholar]
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