Use of real-time extend GNSS for planting and inverting peanuts

Among the main techniques employed in precision agriculture, yield mapping and automatic guidance of agricultural machines are the best-known to farmers. The objective of this study was to evaluate, using statistical process control tools, the quality of automatic guidance using satellite signals, t...

Full description

Saved in:
Bibliographic Details
Published in:Precision agriculture 2019-08, Vol.20 (4), p.840-856
Main Authors: dos Santos, Adão Felipe, da Silva, Rouverson Pereira, Zerbato, Cristiano, de Menezes, Patricia Candida, Kazama, Elizabeth Haruna, Paixão, Carla Segato Strini, Voltarelli, Murilo Aparecido
Format: Article
Language:English
Subjects:
Agricultural practices
Agriculture
Atmospheric Sciences
Automatic control
Automatic pilots
Biomedical and Life Sciences
Chemistry and Earth Sciences
Computer Science
Global navigation satellite system
Life Sciences
Nuts
Peanuts
Physics
Precision farming
Process control
Process controls
Remote Sensing/Photogrammetry
Signal processing
Soil Science & Conservation
Stability
Statistical process control
Statistics
Statistics for Engineering
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Among the main techniques employed in precision agriculture, yield mapping and automatic guidance of agricultural machines are the best-known to farmers. The objective of this study was to evaluate, using statistical process control tools, the quality of automatic guidance using satellite signals, to reduce positioning errors and losses in peanut digging. The treatments consisted of the use of manual (operator guidance) and automatic (autopilot) guidance with RTX satellite signals in sowing and digging operations. The quality of the operation was evaluated after collection of 30 points spaced at 100 m for each quality indicator, which are the losses and the errors of alignment of the mechanised sets in sowing and digging operations. From the perspective of statistical control, manual guidance was shown to be compromised for the quality indicators of digging losses. Despite the instability in the sowing and digging operations, the use of automatic guidance proved to be accurate. The use of automatic guidance increases the precision and reduces overlaps (
ISSN:1385-2256
1573-1618
DOI:10.1007/s11119-018-9616-z