The Use of Precision Farming Technologies in Crop Decision Making

Precision Farming Technologies are being used by an increasing number of farmers in eastern Australia. The adoption of these technologies has resulted in a change in some agronomic practices. This project examines how the technologies are being used. Global Positioning Systems are being employed most readily with significant economic benefit particularly in setting up controlled traffic systems and the banding application of chemicals and fertilisers. Awareness of the benefits of controlled traffic has increased the use of GPS. A secondary reason for high accuracy GPS is to give the farmers greater labour options due to the shortage of experienced machine operators. Yield monitors and maps are mainly used for zoning fields with farmers being cautious about their value until better tools for analysing variance become available. Variable rate technology is not being used in a systematic manner at the present time.Farm Management,

Cluster Emergence and Network Evolution: A longitudinal analysis of the inventor network in Sophia-Antipolis

A widely held view in cluster research is that clusters are characterized by the presence of networks of local collective learning. However, with a growing number of studies indicating this is not necessarily the case, the question arises under which conditions clusters exhibit dense networks of local collective learning. Taking a longitudinal view at the high-tech cluster of Sophia-Antipolis this paper investigates whether and how networks of collective learning among inventors emerged throughout the growth of the cluster from the late 1970s onwards. On the basis of EPO and USPTO patent data we reconstructed co-inventorship networks for the cluster’s two main industries. Detecting a network of local collective learning only in Information Technology, in which growth has been increasingly based on spin-offs and start-ups, and not in Life Sciences, we suggest that the extent and nature of the local concentration of firms over time strongly affect the evolution of local collective learning networks.cluster evolution, network evolution, collective learning, Sophia-Antipolis

Wal-Mart Imports From China, Exports Ohio Jobs

[Excerpt] This report tells the stories of four Ohio companies that sell to Wal-Mart. The loss of jobs at the Huffy Corp., Rubbermaid, Mr. Coffee and Thomson factories in Ohio demonstrates how Wal-Mart pressures suppliers to send Ohio jobs overseas. These jobs exported by Wal-Mart suppliers represent just a handful of the hundreds of thousands of good jobs Ohio has lost in the new Wal-Mart economy. Other such Wal-Mart suppliers as Hasbro, Ohio Art, Texas Instruments Inc., Hoover, World Kitchen Inc. and Philips also have closed plants in Ohio

An MDP decomposition approach for traffic control at isolated signalized intersections

This article presents a novel approach for the dynamic control of a signalized intersection. At the intersection, there is a number of arrival flows of cars, each having a single queue (lane). The set of all flows is partitioned into disjoint combinations of nonconflicting flows that will receive green together. The dynamic control of the traffic lights is based on the numbers of cars waiting in the queues. The problem concerning when to switch (and which combination to serve next) is modeled as a Markovian decision process in discrete time. For large intersections (i.e., intersections with a large number of flows), the number of states becomes tremendously large, prohibiting straightforward optimization using value iteration or policy iteration. Starting from an optimal (or nearly optimal) fixed-cycle strategy, a one-step policy improvement is proposed that is easy to compute and is shown to give a close to optimal strategy for the dynamic proble

Transient handover blocking probabilities in road covering cellular mobile networks

This paper investigates handover and fresh call blocking probabilities for subscribers moving along a road in a traffic jam passing through consecutive cells of a wireless network. It is observed and theoretically motivated that the handover blocking probabilities show a sharp peak in the initial part of a traffic jam roughly at the moment when the traffic jam starts covering a new cell. The theoretical motivation relates handover blocking probabilities to blocking probabilities in the M/D/C/C queue with time-varying arrival rates. We provide a numerically efficient recursion for these blocking probabilities. \u

Mixing in T-junctions

The transport processes that are involved in the mixing of two gases in a T-junction mixer are investigated. The turbulent flow field is calculated for the T-junction with the k- turbulence model by FLOW3D. In the mathematical model the transport of species is described with a mixture fraction variable for the average mass fraction and the variance of the mixture fraction for the temporal fluctuations. The results obtained by numerical simulations are verified in a well-defined experiment. The velocity as well as the concentration field are measured in several types of T-junctions. Comparison of the predicted and measured average concentration fields show good agreement if the Schmidt number for turbulent diffusion is taken as 0.2. Temporal concentration fluctuations are calculated and found to be of equal magnitude as spatial fluctuations. Good mixing is obtained in a T-junction if the branch inlet flow is designed to penetrate to the opposite tube wall in the mixer

Microscope and spectacle : on the complexities of using new visual technologies to communicate about wildlife conservation

Acknowledgments We thank our interviewees for granting us access to data and permission to use images; dot.rural Digital Economy Hub, the University of Aberdeen, and the James Hutton Institute for funding and support; Gina Maffey, Tony James, Katrina Myrvang Brown, and two anonymous reviewers for their comments on earlier versions of the manuscript; and JP Vargheese for technical assistance.Peer reviewedPublisher PD

New Technological Interventions in Conservation Conflicts : Countering Emotions and Contested Knowledge

RCUK Digital Economy programme Grant number EP/G066051/1 Open access via Springer Compact AgreementPeer reviewedPublisher PD