The dynamics of rice biophysical variables in irrigated and non-irrigated systems during the growing season
The dynamics of rice biophysical variables in irrigated and non-irrigated systems during the growing season
Rice biophysical is relevant with rice yield and able to analyses the correlation with satellite data. Thus, the study aims to investigate which parameters significant with rice yield. The study conducts in three provinces located in the Chao Phraya River delta in Thailand, which is main rice cultivated area of country. The primary data use based on the field experiments in the wet season rice of 2017 and separated different 5 growth stages (e.g., seeding, tillering, panicle, flowering, and harvesting). Several of rice biophysical are collected such as agricultural practices, stem density, water depth, height, Leaf Area Index (LAI), chlorophyll contents, wet-dry biomass, and rice yield. Then, the average of rice biophysical are demonstrated with the different rice variety and irrigation. The dynamics of rice biophysical are distinguish from others; then, the study analyses with the Pearson correlation at P-value 0.05 and two-tailed significance. The result suggests the appropriate rice biophysical based on rice yield.
Chao Phraya River delta, Thailand, correlation, irrigation, rice biophysical, temporal dynamic
Nontasiri, J.
15c13e9b-7764-4a1a-879b-893aba7e4201
Dash, J.
51468afb-3d56-4d3a-aace-736b63e9fac8
Roberts, G.
fa1fc728-44bf-4dc2-8a66-166034093ef2
Neale, Christopher M.
c25e43b2-3aeb-4d04-a4ae-242dc5e9d9f4
Maltese, Antonino
9b354a39-9865-4a43-a65e-f9b9595cea9a
7 November 2023
Nontasiri, J.
15c13e9b-7764-4a1a-879b-893aba7e4201
Dash, J.
51468afb-3d56-4d3a-aace-736b63e9fac8
Roberts, G.
fa1fc728-44bf-4dc2-8a66-166034093ef2
Neale, Christopher M.
c25e43b2-3aeb-4d04-a4ae-242dc5e9d9f4
Maltese, Antonino
9b354a39-9865-4a43-a65e-f9b9595cea9a
Nontasiri, J., Dash, J. and Roberts, G.
(2023)
The dynamics of rice biophysical variables in irrigated and non-irrigated systems during the growing season.
Neale, Christopher M., Maltese, Antonino, Neale, Christopher M. and Maltese, Antonino
(eds.)
In Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV.
vol. 12727,
SPIE.
22 pp
.
(doi:10.1117/12.2680296).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Rice biophysical is relevant with rice yield and able to analyses the correlation with satellite data. Thus, the study aims to investigate which parameters significant with rice yield. The study conducts in three provinces located in the Chao Phraya River delta in Thailand, which is main rice cultivated area of country. The primary data use based on the field experiments in the wet season rice of 2017 and separated different 5 growth stages (e.g., seeding, tillering, panicle, flowering, and harvesting). Several of rice biophysical are collected such as agricultural practices, stem density, water depth, height, Leaf Area Index (LAI), chlorophyll contents, wet-dry biomass, and rice yield. Then, the average of rice biophysical are demonstrated with the different rice variety and irrigation. The dynamics of rice biophysical are distinguish from others; then, the study analyses with the Pearson correlation at P-value 0.05 and two-tailed significance. The result suggests the appropriate rice biophysical based on rice yield.
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Dynamic of rice
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Published date: 7 November 2023
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© 2023 SPIE. All rights reserved.
Venue - Dates:
Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV, , Amsterdam, Netherlands, 2023-09-03 - 2023-09-07
Keywords:
Chao Phraya River delta, Thailand, correlation, irrigation, rice biophysical, temporal dynamic
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Local EPrints ID: 486043
URI: http://eprints.soton.ac.uk/id/eprint/486043
ISSN: 0277-786X
PURE UUID: 175fbb66-4d43-4444-94e0-38a263260010
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Date deposited: 08 Jan 2024 17:32
Last modified: 18 Mar 2024 03:18
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Contributors
Editor:
Christopher M. Neale
Editor:
Antonino Maltese
Editor:
Christopher M. Neale
Editor:
Antonino Maltese
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