A system of computers, the Remote Automated Intelligence Network (RAIN) was used to implement degree-day models to time insecticide sprays effective to control Nantucket pine tip moth, Rhyacionia frustrana (Comstock) in the south-eastern United States. The system consists of central computers that are linked via telephone lines to remote stations. Remote stations automatically record ambient temperature at hourly intervals and send the temperature data to a central computer. A central computer receives temperature data from the RAIN stations, processes the data, and sends predictions of the optimal spray dates to each station daily. Initially, the spray date predictions are based on historical average daily maximum and minimum temperatures. The predictions are refined daily by substituting the current year's maximum and minimum temperatures for the historical averages. The only input required for each generation for which spray dates are desired is the date on which the first moths are caught in sex-attractant baited traps. South. J. Appl. For. 13(4):184-187.
Document Type: Journal Article
Department of Entomology, University of Georgia, Athens, GA 30602
Publication date: November 1, 1989
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Each regional journal of applied forestry focuses on research, practice, and techniques targeted to foresters and allied professionals in specific regions of the United States and Canada. The Southern Journal of Applied Forestry covers an area from Virginia and Kentucky south to as far west as Oklahoma and east Texas.