Preliminary Study on Seedling Growth Rhythm and Grey Correlation Analysis of Rubber (Hevea brasiliensis) Seedlings in Danzhou District, Hainan

Abstract

The rubber tree physiological and ecological process quantitatively described by using mathematical method is an important means to the analysis of rubber tree growth process and mechanism. The study on growth simulation model of rubber tree will lay the foundation for the application of rubber tree cultivation intelligent decision system. A Richards equation was formulated to describe the height and stem diameter growth dynamics of the annual rubber seedlings. An area correlation analysis was done according to the closeness of the observed parameters to the dynamic curve on the gray system composed of the seedling growth increment and the meteorological factors including aerial temperature, precipitation and solar radiation hours that influence upon the seedling growth. The results showed that rubber seedling response fitted the Richards equation quite well. The growth increment displayed a distinct alternation of "slow-fast-slowfast-slow" rhythm. The growth course of the seedlings might be partitioned into three periods of time by the sequential clustering analysis, namely pre-growing, fast-growing, late-growing stage. The tray correlation analysis revealed that air temperature had the most significant influence while precipitation had the least impact on height growth of the rubber seedlings. In conclusion, the air temperature had the most significant influence while solar radiation hours had the least impact on stem diameter growth of the rubber seedlings.

Monitoring of Black Pepper Growth at Different Elevation using Ground Data and NDVI Time Series

“…Besides, height and diameter growths were an important indicator for vegetative growth of crops since the growth of these parameters directly related to crop growth and yield quality (Qi et al, 2014). Coordinate of each point of interest (POI) such as farm boundary, individual black pepper veins and water sources were collected using Garmin 64s Handheld GPS during a sunny day to assure the slightest satellite distortion (Salekin et al, 2018).…”

Automatically Extracting Rubber Tree Stem Shape from Point Cloud Data Acquisition Using a B-Spline Fitting Program

“…The main reason is that a deeper tapping depth will cause dead bark to become diseased and decrease the economic life of the rubber tree, while a shallower depth cannot destroy enough laticiferous tubing and reduces the production of natural rubber [5][6][7]. However, the coarse contours of rubber trees are too complicated to fit using existing equipment, which mainly relies on mechanical deformation and leads to low precision and undesirable effects during the tapping operation [8][9][10]. Therefore, technologies must be developed for the extraction of rubber tree contours to improve the accuracy of tapping.…”