Integration of Spectral Measurement and UAV for Paddy Leaves Chlorophyll Content Estimation
| Autor: | Mochamad Firman Ghazali, D. I. Sumantri, Lissa Fajri Yayusman, I. N. P. Aryantha, Ketut Wikantika, R. R. Maulani |
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| Rok vydání: | 2020 |
| Předmět: |
0106 biological sciences
Chlorophyll content 010504 meteorology & atmospheric sciences Ecology (disciplines) Agriculture aerial photo Agricultural engineering 01 natural sciences Plant science inpari 32 inpari 33 leaves spectra spectral indices Environmental science General Agricultural and Biological Sciences paddy cultivars 010606 plant biology & botany 0105 earth and related environmental sciences |
| Zdroj: | Scientia Agriculturae Bohemica, Vol 51, Iss 3, Pp 86-97 (2020) |
| ISSN: | 1805-9430 1211-3174 |
| DOI: | 10.2478/sab-2020-0011 |
| Popis: | In the agriculture sector, proper crop management can enhance yield production. Determination of the chlorophyll content in crop contributes to this significant topic. In this study, the leaves chlorophyll content of local paddy cultivars Inpari 32 and Inpari 33 was estimated and the difference at various days after planting (DAP) was determined. The procedure involved the combination of spectral reflectance data, aerial photographs taken by unmanned aerial vehicle (UAV), and chlorophyll laboratory analysis data. The chlorophyll content in the cultivars leaves was estimated using the models MCARIspectroradiometer and UAV chlorophyll regression (UCR). The results showed a variation in the chlorophyll content not only between the two cultivars on various DAP, but randomly also in the same cultivar of the same DAP. The MCARIspectroradiometer model indicated a lower chlorophyll content for Inpari 32 than for Inpari 33 while the UCR model gave opposite results. The chlorophyll content raises with increasing DAP, but it gradually decreases through the grain filling period until harvest. |
| Databáze: | OpenAIRE |
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