Degree Type

Dissertation

Date of Award

2019

Degree Name

Doctor of Philosophy

Department

Agricultural and Biosystems Engineering

Major

Agricultural and Biosystems Engineering

First Advisor

Matthew J. Darr

Abstract

To evaluate each agricultural operation, we need data to measure and monitor the mechanization unit performance. Many systems have been developed to determine tractor performance monitoring and optimization (TPMO), but the majority of these systems were not fully adequate. In 1986, the Mercedes Corporation collaborated with Robert Bosch and developed Controller Area Network (CAN) Bus technology. This technology is a communication system in vehicles and allows connections between multiple Electrical Control Units (ECUs). Currently, the improvement in electronic technology has made field operational management easier to monitor. This new CAN Bus technique is becoming widely used application in agriculture to help farmers determine and improve field efficiency, while decreasing equipment costs using the data obtained from tractors.

Prior to CAN Bus, ECUs were developed to make communication between systems easier, faster, and more efficient without using point to point connection. Modern tractors are supplied with monitors to show engine rpm, forward speed, and slip percentage. CAN messages depend on the broadcast system and can be controlled and filtered through dedicated software such as Vector Canoe and CAN Analyzer. These messages are continuously updating information about the engine, power train, equipment, power take off, hydraulic system, and others. The emergence of the new technology of extensive field monitoring and data collection programs has caused many operational practices to be abandoned. For example, in the last century, the need for measuring fuel consumption at each speed, gear shift and to the whole operation has been reduced with the application of the telemetry systems. Also, we can reduce the amount of labor, tools, operational costs and time required.

A major purpose for evaluating agricultural machinery is to obtain accurate information and assessment about different agricultural practices. This information provides the operators with feedback that can assist the operator in acquiring and improving the field data, managing limited resources, and acting accordingly. Such data logging systems will help the users of agricultural machinery have a good understanding of performance activities by gathering and saving the data efficiently and make a significant progress in improving performance parameters.

Copyright Owner

Firas Salim Al-Aani

Language

en

File Format

application/pdf

File Size

184 pages

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