Abstract
Aiming at precise evaluation of the performance of soybean seed metering devices, a photoelectric sensor-based real-time monitoring system was designed. The proposed system mainly included a photoelectric sensor module for seeding signal collecting, Hall sensors speeding module, microcontroller unit (MCU), light and sound alarm module, human–machine interface (HMI), and other parts. The indexes of miss, multiples, flow rate, and application rate were estimated on the basis of seeder speed, seed metering disk rotation rate, photoelectric sensor signals, and clock signals. These real-time statistics of the seeding process were recorded by seeding management system. The laboratory results showed that the detection errors of seeding quantity of both big- and small-diameter soybeans were less than 2.0%. Miss and multiples index estimated by this system were 0.4% and 0.5% than that of seeding image monitoring platform (SIMP), respectively. In field tests, miss and multiples index can be used to evaluate the performance of seed metering device, and big-diameter seeds can be detected more precisely than small ones by these photoelectric sensors. This system can provide support for evaluation of working performance of seed metering devices and have a positive effect on seeding monitoring technology.
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Claims 5
Claim · model-written summary
Seeding quantity detection errors for both big- and small-diameter soybeans were below 2.0%.
- Taxon
- soybeans
Glycine maxe0 - Material
- big- and small-diameter soybeanse0
- Outcome
- detection errors of seeding quantitye0
- Value
- 2.0%e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“detection errors of seeding quantity of both big- and small-diameter soybeans were less than 2.0%”
t0“Soybean”
Claim · model-written summary
The system estimated the miss index 0.4% relative to SIMP.
- Taxon
- SoybeanGlycine maxt0
- Outcome
- Misse0
- Value
- 0.4%e0
- Comparator
- seeding image monitoring platform (SIMP)e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Miss and multiples index estimated by this system were 0.4% and 0.5% than that of seeding image monitoring platform (SIMP), respectively”
t0“Soybean”
Claim · model-written summary
The system estimated the multiples index 0.5% relative to SIMP.
- Taxon
- SoybeanGlycine maxt0
- Outcome
- multiples indexe0
- Value
- 0.5%e0
- Comparator
- seeding image monitoring platform (SIMP)e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Miss and multiples index estimated by this system were 0.4% and 0.5% than that of seeding image monitoring platform (SIMP), respectively”
t0“Soybean”
Claim · model-written summary
In field tests, miss and multiples indexes evaluated seed metering performance.
- Taxon
- SoybeanGlycine maxt0
- Outcome
- performance of seed metering devicee0
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“In field tests, miss and multiples index can be used to evaluate the performance of seed metering device”
t0“Soybean”
Claim · model-written summary
Photoelectric sensors detected big-diameter seeds more precisely than small ones in field tests.
- Taxon
- SoybeanGlycine maxt0
- Material
- big-diameter seedse0
- Outcome
- detected more preciselye0
- Comparator
- small onese0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“big-diameter seeds can be detected more precisely than small ones by these photoelectric sensors”
t0“Soybean”