Method for Estimation of Aerosol Parameters Based on Ground Based Atmospheric Polarization Irradiance Measurements

Abstract

Abstract-Method for aerosol refractive index estimation with ground based polarization measurement data is proposed. The proposed method uses a dependency of refractive index on p and s polarized down welling solar diffuse irradiance. It is much easy to measure p and s polarized irradiance on the ground with a portable measuring instrument rather than solar direct, diffuse and aureole measurements. Through theoretical and simulation studies, it is found that the proposed method show a good estimation accuracy of refractive index using measured down welling p and s polarized irradiance data with a measuring instrument pointing to the direction which is perpendicular to the sun in the principal plane. Field experimental results also show a validity of the proposed method in comparison to the estimated results from the conventional method with solar direct, diffuse and aureole measurement data.

Method of Budding Detection with YOLO-based Approach for Determination of the Best Time to Plucking Tealeaves

“…2) Pick an average of about 5 newly opened tealeaves from the base, hang a weight from the tip, measure the length from the base to the top of the curved part, and calculate the ratio to 2 First picked tealeaves are called "Ichibancha" the length of the new sprout. Hardening degree can be expressed as follows, H=bending length from the base/total bud length (2)…”

“…There are the following previously reported research results relating to the tealeaves characterization approach, Method for estimation of grow index of tealeaves based on Bi-Directional reflectance function: BRDF measurements with ground-based network cameras is proposed and validated [1]. Also, wireless sensor network for tea estate monitoring in complementally usage with Earth observation satellite imagery data based on Geographic Information System (GIS) is proposed [2]. On the other hand, method for estimation of total nitrogen and fiber contents in tealeaves with ground-based network cameras is proposed [3].…”