TY - GEN
T1 - Rapid and Low-cost Measurement Method of Normalized Difference Vegetation Index in Different Scenes
AU - Song, Di
AU - Ngumbi, Esther
AU - Kamruzzaman, Mohammed
N1 - Publisher Copyright:
© 2023 ASABE Annual International Meeting. All Rights Reserved.
PY - 2023
Y1 - 2023
N2 - Normalized difference vegetation index (NDVI) is an important index for quickly evaluating crop growth status. However, the current vegetation index detection equipment is expensive, the calculation process is complicated, and the influence of ambient light needs to be considered in real-time. Therefore, a method for reducing the cost of rapid detection of NDVI is of great significance. In this study, experiments were carried out in the laboratory, greenhouse, and field, and the formula for NDVI was derived according to the light characteristics. The vegetation index was calculated under the condition that only the crop reflection Digital Number (DN) value needed to be obtained. In the three light environments, we deduced and changed the calculation formula of NDVI, avoiding the use of whiteboards or complex internal calculations to remove the influence of the light environment. The red-light band 650 nm and the near-infrared band 780 nm were selected to construct NDVI. In the laboratory, the calculated value was the same as the real vegetation index. In the greenhouse, the correlation coefficient between the calculated NDVI and real values was 1±0.017. In the field, the correlation coefficient between the calculated NDVI and actual values was higher than 0.98±0.053. The results showed that the NDVI constructed according to the light characteristics had high consistency and small error with the real value.It can replace the high-cost NDVI detection method, which is of great significance in laboratory, greenhouse, and field applications.
AB - Normalized difference vegetation index (NDVI) is an important index for quickly evaluating crop growth status. However, the current vegetation index detection equipment is expensive, the calculation process is complicated, and the influence of ambient light needs to be considered in real-time. Therefore, a method for reducing the cost of rapid detection of NDVI is of great significance. In this study, experiments were carried out in the laboratory, greenhouse, and field, and the formula for NDVI was derived according to the light characteristics. The vegetation index was calculated under the condition that only the crop reflection Digital Number (DN) value needed to be obtained. In the three light environments, we deduced and changed the calculation formula of NDVI, avoiding the use of whiteboards or complex internal calculations to remove the influence of the light environment. The red-light band 650 nm and the near-infrared band 780 nm were selected to construct NDVI. In the laboratory, the calculated value was the same as the real vegetation index. In the greenhouse, the correlation coefficient between the calculated NDVI and real values was 1±0.017. In the field, the correlation coefficient between the calculated NDVI and actual values was higher than 0.98±0.053. The results showed that the NDVI constructed according to the light characteristics had high consistency and small error with the real value.It can replace the high-cost NDVI detection method, which is of great significance in laboratory, greenhouse, and field applications.
KW - DN value
KW - Light environment
KW - NDVI
KW - Vegetation index construct
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U2 - 10.13031/aim.202300864
DO - 10.13031/aim.202300864
M3 - Conference contribution
AN - SCOPUS:85183581708
T3 - 2023 ASABE Annual International Meeting
BT - 2023 ASABE Annual International Meeting
PB - American Society of Agricultural and Biological Engineers
T2 - 2023 American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE 2023
Y2 - 9 July 2023 through 12 July 2023
ER -