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Errors in Global Positioning System

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Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
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Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

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Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
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Field Application of Global Positioning System01:28

Field Application of Global Positioning System

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The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
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Types of Global Positioning System Surveys01:30

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GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
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Common Leveling Mistakes and Errors01:17

Common Leveling Mistakes and Errors

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A survey team is tasked with determining the elevation difference between points Point A and Point B, separated by uneven terrain. They use a leveling instrument and a leveling rod.Common MistakesMisreading the Rod: During a backsight reading at Point A, the instrumentman observes the rod partially obscured by tall grass. Instead of reading 1.135 m, they mistakenly record 1.735 m due to the misalignment of the crosshair with the wrong graduation. This error adds 0.600 m to all subsequent...
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To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
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Precision Seeding Compensation and Positioning Based on Multisensors.

Jiaze Sun1, Yan Zhang1,2, Yuting Zhang1,2

  • 1School of Information Science and Technology, Hebei Agricultural University, Baoding 071000, China.

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|October 14, 2022
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Summary
This summary is machine-generated.

This study introduces a smart farming model for precise curve seeding, ensuring uniform crop spacing and boosting yields. The model accurately compensates for planter movement on curves, improving agricultural efficiency.

Keywords:
curve seeding compensationmultisensorsseeding positionsmart farming

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Area of Science:

  • Agricultural Engineering
  • Precision Agriculture
  • Smart Farming Technology

Background:

  • Traditional multi-row planters exhibit uneven seeding spacing on curved paths, leading to inconsistent crop growth, increased costs, and reduced yields.
  • The need for enhanced precision in agricultural operations is driven by the demand for higher crop yields and more efficient resource management.

Purpose of the Study:

  • To develop and validate a curve seeding compensation and precise positioning model for multi-row planters.
  • To enhance seeding uniformity on curved paths, thereby improving crop yield and operational efficiency in smart farming systems.

Main Methods:

  • Utilized multisensor data, including Global Navigation Satellite System (GNSS) and Inertial Measurement Unit (IMU), for real-time speed and position calculation.
  • Developed a predictive model to determine the optimal seeding position for each unit on curve paths.
  • Conducted simulations using MATLAB Simulink to evaluate model performance under various conditions.

Main Results:

  • Achieved a seeding pass rate of 99.97% with a positioning accuracy of ±0.01 m at a traction speed of 1 m/s.
  • Demonstrated a high seeding pass rate of 99.81% for a five-row seeder at a traction speed of 3 m/s.
  • Validated the model's effectiveness and practicality in achieving uniform seeding on curve paths.

Conclusions:

  • The proposed curve seeding compensation and precise positioning model effectively addresses the challenge of uneven seeding spacing in curved paths.
  • The model's high simulation performance validates its potential for practical application in smart farming, leading to improved crop yields and reduced production costs.