Abstract
Spatial and temporal variability of new shoots (number of shoots, dry mass and nitrogen concentration) were investigated under several conditions using precision agriculture technology. The growth and spatial variability of new shoots were both determined using the normalized difference vegetation index (NDVI). At harvest, there were differences in new shoots growth depending on variety, severe shading, and nitrogen fertilizer type. There were differences in new shoot for “Ten-cya” compared to that for “Sen-cya,” and temporal variability of growth had a different tendency compared to spatial variability at harvest depending on several conditions. Coefficients of determination (R2) and root mean square error (RMSE) were established by the NDVI model. The accuracy was R2≥0.826 with RMSE≤15.0 g/m2 for “Sen-cya” and R2≥0.877 with RMSE≤13.6 g/m2 (vegetation coverage ratio ≤ 100%) for “Ten-cya”.
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Claims 5
Claim · model-written summary
New shoot growth varied with variety, shading and nitrogen fertilizer type at harvest.
Verbatim
e0“At harvest, there were differences in new shoots growth depending on variety, severe shading, and nitrogen fertilizer type”
t0“Green Tea”
Claim · model-written summary
Ten-cya new shoots differed from Sen-cya shoots.
Verbatim
e0“There were differences in new shoot for “Ten-cya” compared to that for “Sen-cya,””
t0“Green Tea”
Claim · model-written summary
Temporal growth variability showed a different tendency from spatial variability at harvest.
Verbatim
e0“temporal variability of growth had a different tendency compared to spatial variability at harvest depending on several conditions”
t0“Green Tea”
Claim · model-written summary
The NDVI model attained R2 at least 0.826 and RMSE at most 15.0 g/m2 for Sen-cya.
Verbatim
e0“The accuracy was R2≥0.826 with RMSE≤15.0 g/m2 for “Sen-cya””
t0“Green Tea”
Claim · model-written summary
The NDVI model attained R2 at least 0.877 and RMSE at most 13.6 g/m2 for Ten-cya.
Verbatim
e0“R2≥0.877 with RMSE≤13.6 g/m2 (vegetation coverage ratio ≤ 100%) for “Ten-cya””
t0“Green Tea”