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PreDiVine: predict crop diseases, with sensor networks and bio-models

PreDiVine: predict crop diseases, with sensor networks and bio-models

PreDiVine uses wireless sensor networks to predict the evolution of diseases and suggests just in time and targeted treatments, in contrast with the calendar-based approach. The data is accessible to vineyard growers through a simple web-interface. This offers high ecological benefits as treatments are only used where and when they are necessary, while saving up to 25% of production costs. Diseases of grape plants ALONE account for economic damages of more than $5billion/year in Europe.
CEO & Founder of @Dolphin Engineering, Program Manager at University of Lugano
Predicting diseases of crops with sensor networks and bio models
PhD at University of Lugano

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