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Potential potato late blight (Phytophthora infestans) epidemics are being predicted over a large geographic area of Oregon, USA, by an automated network. The predictions are reaching growers through the world wide web and e-mail. Instruments monitor field conditions starting at potato (Solanum tuberosum L.) emergence each season. Eight to ten Oregon potato fields over a 400 km reach are automatically monitored for temperature, relative humidity, and leaf wetness in the plant canopy. This data and rainfall data are recorded every 10 minutes by remote, in-field data loggers with cellular phones. The data are collected by a computer at the Malheur Experiment Station that automatically connects to the data loggers every day. A computer model uses the data to estimate real time late blight risk. These estimates are updated and posted to a web site 5 times a week. Growers and fieldmen receive the estimated risk by e-mail. Because the late blight risk varies substantially by year and location, growers can experience substantial savings in fungicide applications.