Abstract
To solve multiple problems, such as the poor seeding process stability in the conventional finger-clip precision corn seed metering device and the inability to monitor the seeding effect, a long-belt finger-clip precision seed metering device was optimized and designed. The overall structure and working principle were described, and the mechanism of smooth transport and delivery was analyzed. A diffuse reflection photoelectric sensor and rectangular optical fiber sensor were used to monitor the number of corn seeds in the seeding process, and the states of multiple and miss seeding were calculated. A corn seeding quality monitoring system was designed. In this study, the seed metering performance of the long-belt finger-clip precision seed metering device was compared to that of the conventional finger-clip precision corn seed metering device. It was shown that the reseeding index, the miss-seeding index and the coefficient of variation can be effectively reduced with increasing seed metering tray speed. At the maximum speed of 65r/min, the qualified index increased from 75.75 to 84.70%, the reseeding index decreased from 13.66 to 8.49%, the miss-seeding index decreased from 10.59 to 6.81%, and the coefficient of variation decreased from 20.69 to 6.83%. The variations of these four evaluation parameters with the seed metering tray rotating speed were analyzed. Furthermore, the effects of the seeding frequency and seeding speed on the four evaluation parameters were studied through single factor and variance analyses. The results showed that the relative errors of the qualified index, the reseeding index, the miss-seeding index and the seeding amount increased gradually with the increase in the seed metering tray rotating speed, and the monitoring accuracy of the sensor decreased gradually. The accuracy of sensor monitoring decreased with increasing seeding frequency and seeding speed. This study provides an optimized scheme for the smooth delivery and movement of conventional seed metering devices and provides a technical reference for the development and design of monitoring systems with multiple index and the miss-seeding index of seed metering devices.
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The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.
Claims 8
Claim · model-written summary
Increasing tray speed reduced the reseeding index.
- Taxon
- corn
Zea mays subsp. mayse1 - Outcome
- reseeding indexe0
- Direction
- reducede0
- Value
- 8.49%e2
- Comparator
- increasing seed metering tray speede0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the reseeding index, the miss-seeding index and the coefficient of variation can be effectively reduced with increasing seed metering tray speed”
e1“corn seeds in the seeding process”
e2“At the maximum speed of 65r/min, the qualified index increased from 75.75 to 84.70%, the reseeding index decreased from 13.66 to 8.49%”
Claim · model-written summary
Increasing tray speed reduced the miss-seeding index to 6.81% at 65r/min.
- Taxon
- cornZea mays subsp. mayse1
- Outcome
- miss-seeding indexe2
- Direction
- decreasede2
- Value
- 6.81%e2
- Comparator
- increasing seed metering tray speede0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the reseeding index, the miss-seeding index and the coefficient of variation can be effectively reduced with increasing seed metering tray speed”
e1“corn seeds in the seeding process”
e2“the miss-seeding index decreased from 10.59 to 6.81%”
Claim · model-written summary
Increasing tray speed reduced the coefficient of variation to 6.83% at 65r/min.
- Taxon
- cornZea mays subsp. mayse1
- Outcome
- coefficient of variatione2
- Direction
- decreasede2
- Value
- 6.83%e2
- Comparator
- increasing seed metering tray speede0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the reseeding index, the miss-seeding index and the coefficient of variation can be effectively reduced with increasing seed metering tray speed”
e1“corn seeds in the seeding process”
e2“the coefficient of variation decreased from 20.69 to 6.83%”
Claim · model-written summary
At 65r/min the qualified index increased from 75.75 to 84.70%.
- Taxon
- cornZea mays subsp. mayse1
- Outcome
- qualified indexe0
- Direction
- increasede0
- Value
- 84.70%e0
- Qualifier
- 65r/mine0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“At the maximum speed of 65r/min, the qualified index increased from 75.75 to 84.70%”
e1“corn seeds in the seeding process”
Claim · model-written summary
Relative errors of qualified, reseeding, miss-seeding and seeding amount indices rose with tray speed.
- Taxon
- cornZea mays subsp. mayse1
- Outcome
- relative errors of the qualified index, the reseeding index, the miss-seeding index and the seeding amounte0
- Direction
- increased graduallye0
- Comparator
- seed metering tray rotating speede0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the relative errors of the qualified index, the reseeding index, the miss-seeding index and the seeding amount increased gradually with the increase in the seed metering tray rotating speed”
e1“corn seeds in the seeding process”
Claim · model-written summary
Sensor monitoring accuracy declined with increasing tray speed.
- Taxon
- cornZea mays subsp. mayse1
- Outcome
- monitoring accuracy of the sensore0
- Direction
- decreased graduallye0
- Comparator
- seed metering tray rotating speede2
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the monitoring accuracy of the sensor decreased gradually”
e1“corn seeds in the seeding process”
e2“increase in the seed metering tray rotating speed”
Claim · model-written summary
Sensor monitoring accuracy declined with increasing seeding frequency.
- Taxon
- cornZea mays subsp. mayse1
- Outcome
- accuracy of sensor monitoringe0
- Direction
- decreasede0
- Comparator
- seeding frequencye0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The accuracy of sensor monitoring decreased with increasing seeding frequency and seeding speed”
e1“corn seeds in the seeding process”
Claim · model-written summary
Sensor monitoring accuracy declined with increasing seeding speed.
- Taxon
- cornZea mays subsp. mayse1
- Outcome
- accuracy of sensor monitoringe0
- Direction
- decreasede0
- Comparator
- seeding speede0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The accuracy of sensor monitoring decreased with increasing seeding frequency and seeding speed”
e1“corn seeds in the seeding process”