Determination of Energy Requirements for Dry Land Tillage Using Spatial Variability Technique
This study describes the utilization of spatial variability technique in obtaining the tillage energy requirements of disk plowing operation, first rotary tilling after disk plowing operations and second rotary tilling after first rotary tilling and disk plowing operations. Spatial variability of...
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my.upm.eprints.61232023-10-11T01:52:35Z http://psasir.upm.edu.my/id/eprint/6123/ Determination of Energy Requirements for Dry Land Tillage Using Spatial Variability Technique Ng, Eng Boon This study describes the utilization of spatial variability technique in obtaining the tillage energy requirements of disk plowing operation, first rotary tilling after disk plowing operations and second rotary tilling after first rotary tilling and disk plowing operations. Spatial variability of soil terrain characteristics, tractor implement performances and tillage qualities were measured across two field plots using the mapping system that consists of a Massey Ferguson 3060 instrumented tractor with built-in data acquisition system, differential global positioning system (DGPS) and transducers, mounted-type soil penetrometer-shearometer unit and trailed-type soil surface profile digitizer, respectively. The collected soil terrain characteristic and tractor-implement performance data sets were transferred to ArcView GIs software to produce spatial interpolated surface maps for further statistical analyses. SAS statistical software was used to perform univariate, correlation and stepwise multiple regression analyses to generate mathematical models for tdlage energy requirements. Models for tractor travel speed, draft and fuel consumption with respect to the soil terrain characteristic and tractor-implement performance variables were successfully developed for disk plowing operations and models for tractor travel speed, PTO power and fuel consumption with respect to the soil terrain characteristic and tractor-implement performance variables were successllly developed for first rotary tilling after disk plowing operations and second rotary tilling after first rotary tilling and disk plowing operations. Mean values of soil moisture content, average elevation height, degree of tilth, random roughness index of the soil surface profile, sensing error, PTO power and fuel consumption data sets resulting from first rotary tilling after disk plowing operations and second rotary tilling after first rotary tilling and disk plowing operations at rated and reduced engine speed were also documented for comparison purposes. Evidence trends were shown on soil random roughness index, PTO power, and fuel consumption when subjected to different tillage operations and engine speeds. 2006-03 Thesis NonPeerReviewed text en http://psasir.upm.edu.my/id/eprint/6123/1/FK_2006_43.pdf Ng, Eng Boon (2006) Determination of Energy Requirements for Dry Land Tillage Using Spatial Variability Technique. Masters thesis, Universiti Putra Malaysia. Tillage - Spatial systems - Case studies English |
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Tillage - Spatial systems - Case studies Ng, Eng Boon Determination of Energy Requirements for Dry Land Tillage Using Spatial Variability Technique |
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This study describes the utilization of spatial variability technique in obtaining the
tillage energy requirements of disk plowing operation, first rotary tilling after disk
plowing operations and second rotary tilling after first rotary tilling and disk
plowing operations. Spatial variability of soil terrain characteristics, tractor implement
performances and tillage qualities were measured across two field plots
using the mapping system that consists of a Massey Ferguson 3060 instrumented
tractor with built-in data acquisition system, differential global positioning system
(DGPS) and transducers, mounted-type soil penetrometer-shearometer unit and
trailed-type soil surface profile digitizer, respectively. The collected soil terrain
characteristic and tractor-implement performance data sets were transferred to
ArcView GIs software to produce spatial interpolated surface maps for further
statistical analyses. SAS statistical software was used to perform univariate,
correlation and stepwise multiple regression analyses to generate mathematical
models for tdlage energy requirements. Models for tractor travel speed, draft and
fuel consumption with respect to the soil terrain characteristic and tractor-implement
performance variables were successfully developed for disk plowing operations and models for tractor travel speed, PTO power and fuel consumption with respect to the
soil terrain characteristic and tractor-implement performance variables were
successllly developed for first rotary tilling after disk plowing operations and
second rotary tilling after first rotary tilling and disk plowing operations. Mean
values of soil moisture content, average elevation height, degree of tilth, random
roughness index of the soil surface profile, sensing error, PTO power and fuel
consumption data sets resulting from first rotary tilling after disk plowing operations
and second rotary tilling after first rotary tilling and disk plowing operations at rated
and reduced engine speed were also documented for comparison purposes. Evidence
trends were shown on soil random roughness index, PTO power, and fuel
consumption when subjected to different tillage operations and engine speeds. |
format |
Thesis |
author |
Ng, Eng Boon |
author_facet |
Ng, Eng Boon |
author_sort |
Ng, Eng Boon |
title |
Determination of Energy Requirements for Dry Land Tillage Using Spatial Variability Technique |
title_short |
Determination of Energy Requirements for Dry Land Tillage Using Spatial Variability Technique |
title_full |
Determination of Energy Requirements for Dry Land Tillage Using Spatial Variability Technique |
title_fullStr |
Determination of Energy Requirements for Dry Land Tillage Using Spatial Variability Technique |
title_full_unstemmed |
Determination of Energy Requirements for Dry Land Tillage Using Spatial Variability Technique |
title_sort |
determination of energy requirements for dry land tillage using spatial variability technique |
publishDate |
2006 |
url |
http://psasir.upm.edu.my/id/eprint/6123/1/FK_2006_43.pdf http://psasir.upm.edu.my/id/eprint/6123/ |
_version_ |
1781706601870131200 |