Regional Monitoring of Fall Armyworm (FAW) Using Early Warning Systems

An early warning on early warning systems!

WG Early Warning Systems

Early Warning Systems aim at detecting unclassified but potentially harmful system behavior based on preliminary indications and are complementary to Intrusion Detection Systems. Both kinds of systems try to detect, identify and react before possible damage occurs and contribute to an integrated and aggregated situation report (big picture). A particular emphasis of Early Warning Systems is to ...

Modeling seasonal migration of fall armyworm moths.

Fall armyworm, Spodoptera frugiperda (J.E. Smith), is a highly mobile insect pest of a wide range of host crops. However, this pest of tropical origin cannot survive extended periods of freezing temperature but must migrate northward each spring if it is to re-infest cropping areas in temperate regions. The northward limit of the winter-breeding region for North America extends to southern regi...

Monitoring of Regional Low-Flow Frequency Using Artificial Neural Networks

Ecosystem of arid and semiarid regions of the world, much of the country lies in the sensitive and fragile environment Canvases are that factors in the extinction and destruction are easily destroyed in this paper, artificial neural networks (ANNs) are introduced to obtain improved regional low-flow estimates at ungauged sites. A multilayer perceptron (MLP) network is used to identify the funct...

Regional Evaluation of Hydrometric Monitoring Stations through Using Entropy Theory

Proper design and operation of monitoring systems for water resources management is one of themost important issues of water quality and quantity and accuracy and adequacy of data. The properevaluation of these data has a determining role in the correctand consistent decisions in the areacovered by the system. Therefore, determining proper distribution and number of monitoringnetwork stations a...