Soil EC mapping system using Veris 3100 at young oil palm area / Nurul Amirah Ahmad Zaki

Ahmad Zaki, Nurul Amirah (2019) Soil EC mapping system using Veris 3100 at young oil palm area / Nurul Amirah Ahmad Zaki. [Student Project] (Unpublished)

Abstract

Soil electrical conductivity (EC) is a measurement that links with the soil properties that will affect crop productivity. With advances in technology for precision agriculture, Veris Technologies introduce the on-the-go sensors for measuring level of Soil EC. The combination of sensor with EC help in improving our farming system. This study was conducted at Share Farm UiTM Jasin,Melaka in Young Oil Palm area and used to measure the level of EC. This implement (Veris 3100) connected along with Auto Pilot Tractor (New Holland TD575). It works together with GPS to get accurate location before it converted to map form. The collected data contain shallow and deep. Each data shows different amount of EC. Shallow measure from 0-30cm while Deep from 0-90cm and the data measure by millisiemens. Then do an interpolation by using kriging method by used ArcGIS. Function of this software to digitize the data to get it clearer. With the development of ArcGIS software, it improves our map from simply to fully functioning system. Based on the result, it shows that there no much different of EC in that area. Besides, the fact that sands have a low conductivity, silts have a medium conductivity and clays have a high conductivity.

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Item Type: Student Project
Creators:
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Ahmad Zaki, Nurul Amirah
UNSPECIFIED
Subjects: G Geography. Anthropology. Recreation > G Geography (General) > Geographic information systems
S Agriculture > S Agriculture (General) > Soils. Soil science. Including soil surveys, soil chemistry, soil structure, soil-plant relationships
Divisions: Universiti Teknologi MARA, Melaka > Jasin Campus > Faculty of Plantation and Agrotechnology
Programme: Bachelor of Science (Hons) Plantation Technology and Management (AT220)
Keywords: Deep; Shallow; Soil EC; Veris 3100; GPS; ArcGIS
Date: 2019
URI: https://ir.uitm.edu.my/id/eprint/24443
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