Comparison of field performance of GPS accuracy between autopilot tractor and handheld GPS in oil palm / Muhammad Hafizuddin Afiq Wan Zainal

Wan Zainal, Muhammad Hafizuddin Afiq (2019) Comparison of field performance of GPS accuracy between autopilot tractor and handheld GPS in oil palm / Muhammad Hafizuddin Afiq Wan Zainal. [Student Project] (Unpublished)

Abstract

New Holland TD5.75 tractor is a new modern farming technology tractor that can be operated with autopilot mode. This tractor can be categorize as updated intelligence machine farming that also can be attach with different sensoring implements such as Yara sensor and Veris 3100. Yara sensor is the sensor that can sense the nitrogen contain in plant, while Veris 3100 is the Electro Conductivity sensor implement to study the soil properties. Since this new autopilot tractor is rarely been used in Malaysia, there are uncertainty on the data and information credibility. The purpose of this study is to compare the performance and measure the accuracy between autopilot tractor and conventional handheld GPS by using RMSE method and ArcGIS. The data was collected by field observation in UiTM Jasin at cluster of young oil palm field. The coordinate of oil palm trees were measured and shown that the autopilot tractor is more accurate than handheld GPS with error of 0.0010896 for longitude and 2.07686 X 10ֿ⁵ for latitude. As a conclusion, the uses of this tractor GPS as a reference in working in the field is important in improving the working performance in the field.

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Item Type: Student Project
Creators:
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Wan Zainal, Muhammad Hafizuddin Afiq
UNSPECIFIED
Subjects: S Agriculture > S Agriculture (General)
T Technology > TJ Mechanical engineering and machinery > Agricultural machinery. Farm machinery
Divisions: Universiti Teknologi MARA, Melaka > Jasin Campus > Faculty of Plantation and Agrotechnology
Programme: Bachelor of Science (Hons) Plantation Technology and Management (AT220)
Keywords: Autopilot; Nitrogen sensor; Soil Electro Conductivity (EC); Global Positioning System (GPS); Root Mean Square Error (RMSE)
Date: 2019
URI: https://ir.uitm.edu.my/id/eprint/24292
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