Many efforts have been made by engineers in advanced
countries to reduce labor and work time in agriculture due to the decreasing
agricultural labor forces. Global demand for higher productivity in agriculture
field has led to the need for more cooperation between agricultural machines.
Advances in industrial mechanization and automation have inspired engineers todevelop robots that can perform various agriculture field tasks. There are two
major categories of research on agricultural robotics: ground sensing systems
that use machine vision, odometers, accelerometers, etc. and satellitebased
system that use GPS for navigation. The error in accuracy of a real-time
kinematic (RTK) GPS system is now only 1 to 2 cm per 10 km. Generally, the
error in accuracy of a guidance system using RTK-GPS is 3 to 5 cm.

As for robot technology, many researchers have developed
sweep coverage algorithm for multi-agent robot system. The agriculture robottractor is similar to the sweep coverage robot. Both of them need to cover the
whole area using the minimum time. The difference between the robot tractor and
sweep coverage robot is that the robot tractor need to cover each place only
one time.
Failure of the engineering structures is caused by
cracks, which is depending on the design and operating conditions that extend
beyond a safe size. Cracks present to some extent in all structures, either as
a result of manufacturing defects or localized damage in service. The crackgrowth leads to a decrease in the structural strength. Thus, when the service
leading to the failure of the structure. Fracture, the final catastrophic event
takes place very rapidly and is preceded by crack growth, which develops slowly
during normal service conditions.
It is of particular interest to investigate the
structure-property of rubber-rich TPO blends reinforced with rigid nanofillers.
The effect of nanoclay additions on the structure and property of rubber-rich
TPO blends has been investigated by Mishra et al.and Tjong and Ruan more
recently.
While many techniques are currently employed to detect
biological analytes, electrochemical detection is very appealing because of its
low cost, ease of use, and rapid time for producing a quantitative result.
Electrochemical signals are generated by a redox method when redox analytes arepresent in a sample in measureable quantities, such as ~1014 glucose molecules
associated with 1.1 mmol/L glucose in blood.However, most clinical and
environmental bioanalyte applications require much lower quantities to be
measured such as ~106 guanine molecules associated with 5,000 copies/mL of HIV RNA.
This is below the detection limit of electrochemical biosensors.
In
particular, military, mission critical and safety domains generally require
rapid and/or real time data transfer. Therefore, some QoS feature would be
required to give sensor network administrators the ability to control the
overall network performance. 6LoWPAN offers a QoS feature based on two prioritybits. So far, no implementation of these priority bits was done. In this paper,
using simulation, we evaluate the effectiveness of these priority bits in
various scenarios. We show that under very heavy or very low network loads,
these bits have a limited effect on the delay. However, in most realistic
scenarios where the network is reasonably loaded (between 40 to 60 %), it is
straightforward to apply ahpriority-based QoS priority in 6LoWPANs.