Prediction of frost location using machine learning and wireless sensor networks

Abstract

The damage caused by the frost takes place when the temperatures are below than a tolerable limit for the plants. Each phenological state, e.g owering, has a variable cold hardiness, so the lethal temperature is also variable. Freezing climatic events are the most dangerous, because they affect a large land surface. Mendoza is not an exception. According to the Instituto Nacional de Vitivinicultura (INV), in 2013 the loss of the vine crop reached up to 27%. Big part of that loss of yield was during the early spring. In order to study the micro-climate phenomenon of frost in Mendoza, sensors were distributed in the vine-yards vertically as well horizontally, because the air temperatures change vertically as horizontally, and the plant has also different cold hardiness in the organs like trunk, flowers, shoots.

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