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where 1 ≥ α ≥ 0 - coefficient characterizing the dosing performance degradation because of
the reduction of the flow area. A value of the coefficient P
1
is taken into consideration on
conditions that P
1
> 0,025·S
0
/δ
0
and for the considered dosing unit:
α ≥ 6·10
-3
·ξ ,
(4)
where ξ=D
0
/δ
0,
D
0
- diameter of the metering hole.
Nomographic charts in the form of the S
0
-V
0
relation for different values of granules sizes δ
0
and the coefficient α were calculated for the metering device developed by us. The given
dependences have a linear character for relatively low values α and δ
0
, but these ones take
the nonlinear form for α > 0,5 and δ
0
> 0,5 mm especially in and around small values of the
sectional area of the metering hole. The increase in α and δ
0
requires rising in flow velocity
of the dosed material to attain the same performance as for α=0.
2.3 Recognition of soil light-colour information patterns
Every soil information pattern is characterized by inhomogeneous agrochemical and
agrophysical values. We investigated soil multicomponent information patterns using soil
reference patterns with contrast colour tones in accordance with a triangle of the soil
coloration. This one is produced from the assumption that soil humus colours in grey and
dark-grey tones, iron compounds - in brown, reddish, yellowish ones, but many soil
components (silicon dioxide, quartz, carbonates, and calcium sulphates) have a white
colour. Light-colour information patterns were obtained as a set of values of brightness
coefficients in this form:
R = I / I
0
,
(5)
where I ,I
0
- light intensity reflected from a soil controlled sample and a standard white
surface, respectively.
At the same time, a set of brightness coefficients in the soil humus-accumulative horizon
defines its information light-colour pattern (Fig. 4). Histograms of a size distribution of soil
particles and the soil microstructure registered by a method of scanning electron microscopy
supplement a soil information pattern. We developed a special software for the data
visualization of reflection indexes of the optical radiation, preprocessing, the data
transmission [3, 5].
The following conclusions result from undertaken experimental studies of the developed
intelligent multisensory system “CDOT” [1-5]:
reflection coefficients increase in the examined broadband wavelength range if the
irradiation intensity goes up especially fast when the wavelength rises, but soil is
lighter;
the more soil fine particles, the higher the reflection coefficient which exponentially
increases when sizes of soil particles reduce from 2500 μm to 25 μm, so large particles
reflect less energy of the optical radiation because of a long space between ones;
there are significant changes of the organics content for the mixture with light soil, and
there are especially more significant differences of information patterns in the range of
620-660 nm in contrast to the one of 460-505 nm;
