Development of Prediction Functions for a Maximized Precision Seeding Performance Based on Optimized Variables
Abstract
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The objective of this study was to develop
prediction functions for the variables that affect precision seeding
performance. The variables considered were the amount of vacuum, peripheral
speed and the diameter of the holes on vacuum plate. On the other hand, these
variables are significantly affected by physical properties of the seeds and
govern the seeding phenomenon that is the capture, release and incorporation of
seeds into the soil. Experiments using Central Composite Design which is one of
the designs in Response Surface Methodology (RSM) were conducted in the lab and
different seeds were used to meet the objective. Hence, using different seeds
with different physical and aerodynamic properties such as sphericity, thousand
seed mass, projected area, terminal velocity, mean particle diameter and
coefficient of friction of material on metal are expected to contribute the
development of prediction models for a maximized seeding performance. According to results of the statistical
analyses, hole diameter and vacuum pressure models were developed while no
significant model was developed for the peripheral the speed of the vacuum
plate. The appropriate hole diameter was found to be the function of mean
particle diameter and sphericity with a coefficient of determination of 92.69%,
while vacuum pressure was correlated to sphericity and terminal velocity (R2=76.74
%). The developed models were verified by the use of different seeds and seed
distribution was evaluated.
Keywords
Central composite design,physical properties,seed,performance,mathematical modeling
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