Abstract
A digital Tetracam camera associated data acquisition system mounted on a radio controlled unmanned helicopter platform was used to acquire near-real-time remote sensing images of rice crops. The plot-based high resolution images obtained were then used to estimate rice yield and protein content. The images were taken at booting stage of rice crop variety of Supanburi-1 with the experimental plots prepared in Thailand. Fifteen rice field plots; five N-treatments (0, 33, 66, 99 and 132 kg/ha) having three replications each were arranged in a randomized block design manner in the experiments set estimating the yield and protein content. Plot-based images were obtained successfully by the acquisition sensors by operating the platform at the height of 20 m above ground. The rice yield found highly correlated with the NDVI and Green NDVI (GNDVI) values at booting stage, with the determination coefficient (r 2) of 0.95. The protein content estimated in terms of total nitrogen presented in milled rice showed positive correlation with r2 of 0.50. The study indicated the suitability of unmanned helicopter based remote sensing images for precise estimation of rice yield and the scope for predicting the protein content in rice crops which would help making valuable management decisions on crop cultivation.
| Original language | English |
|---|---|
| Title of host publication | American Society of Agricultural and Biological Engineers Annual International Meeting 2008, ASABE 2008 |
| Publisher | American Society of Agricultural and Biological Engineers |
| Pages | 134-144 |
| Number of pages | 11 |
| Volume | 1 |
| ISBN (Print) | 9781605605364 |
| Publication status | Published - 2008 |
| Event | American Society of Agricultural and Biological Engineers Annual International Meeting 2008 - Providence, RI, United States Duration: Jun 29 2008 → Jul 2 2008 |
Other
| Other | American Society of Agricultural and Biological Engineers Annual International Meeting 2008 |
|---|---|
| Country | United States |
| City | Providence, RI |
| Period | 6/29/08 → 7/2/08 |
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Keywords
- N-treatments
- Protein
- Radio-controlled helicopter
- Remote sensing
- Rice yield
ASJC Scopus subject areas
- Agricultural and Biological Sciences(all)
Cite this
Estimation of rice yield and protein content using remote sensing images acquired by radio controlled unmanned helicopter. / Swain, Kishore C.; Zaman, Qamar; Jayasuriya, Hemantha P W; Zhang, Fangming.
American Society of Agricultural and Biological Engineers Annual International Meeting 2008, ASABE 2008. Vol. 1 American Society of Agricultural and Biological Engineers, 2008. p. 134-144.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Estimation of rice yield and protein content using remote sensing images acquired by radio controlled unmanned helicopter
AU - Swain, Kishore C.
AU - Zaman, Qamar
AU - Jayasuriya, Hemantha P W
AU - Zhang, Fangming
PY - 2008
Y1 - 2008
N2 - A digital Tetracam camera associated data acquisition system mounted on a radio controlled unmanned helicopter platform was used to acquire near-real-time remote sensing images of rice crops. The plot-based high resolution images obtained were then used to estimate rice yield and protein content. The images were taken at booting stage of rice crop variety of Supanburi-1 with the experimental plots prepared in Thailand. Fifteen rice field plots; five N-treatments (0, 33, 66, 99 and 132 kg/ha) having three replications each were arranged in a randomized block design manner in the experiments set estimating the yield and protein content. Plot-based images were obtained successfully by the acquisition sensors by operating the platform at the height of 20 m above ground. The rice yield found highly correlated with the NDVI and Green NDVI (GNDVI) values at booting stage, with the determination coefficient (r 2) of 0.95. The protein content estimated in terms of total nitrogen presented in milled rice showed positive correlation with r2 of 0.50. The study indicated the suitability of unmanned helicopter based remote sensing images for precise estimation of rice yield and the scope for predicting the protein content in rice crops which would help making valuable management decisions on crop cultivation.
AB - A digital Tetracam camera associated data acquisition system mounted on a radio controlled unmanned helicopter platform was used to acquire near-real-time remote sensing images of rice crops. The plot-based high resolution images obtained were then used to estimate rice yield and protein content. The images were taken at booting stage of rice crop variety of Supanburi-1 with the experimental plots prepared in Thailand. Fifteen rice field plots; five N-treatments (0, 33, 66, 99 and 132 kg/ha) having three replications each were arranged in a randomized block design manner in the experiments set estimating the yield and protein content. Plot-based images were obtained successfully by the acquisition sensors by operating the platform at the height of 20 m above ground. The rice yield found highly correlated with the NDVI and Green NDVI (GNDVI) values at booting stage, with the determination coefficient (r 2) of 0.95. The protein content estimated in terms of total nitrogen presented in milled rice showed positive correlation with r2 of 0.50. The study indicated the suitability of unmanned helicopter based remote sensing images for precise estimation of rice yield and the scope for predicting the protein content in rice crops which would help making valuable management decisions on crop cultivation.
KW - N-treatments
KW - Protein
KW - Radio-controlled helicopter
KW - Remote sensing
KW - Rice yield
UR - http://www.scopus.com/inward/record.url?scp=63049107337&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=63049107337&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:63049107337
SN - 9781605605364
VL - 1
SP - 134
EP - 144
BT - American Society of Agricultural and Biological Engineers Annual International Meeting 2008, ASABE 2008
PB - American Society of Agricultural and Biological Engineers
ER -