2010 Volume 26 Issue 1 Pages 1-8
If changes in the physiological functions of farm products caused by environmental changes can be measured without any physical contact or destructive, then estimating of chemical component, forecast of yield, growth diagnosis, and management of crops become possible. In this study, four tea fields in Shizuoka were chosen as the study site. We have examined relations between the new leaves weight and NDVI for estimation of the yield and between some chemical components and NDVI for estimation of the quality period from 2004 to 2006. And we proposed a model formula for accuracy improvement. As a result, a positive correlation of the leaves weight, fiber content and NDVI was found. And there was a negative correlation between the total nitrogen, amino acid and NDVI. The study results proved the applicability of on-site remote sensing technology associated with the use of digital camera for the yield and quality estimation of new tea leaves.
