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The MIDA project aims to enhance aerial surveillance of fruit orchards by predicting pathogen infection risks using drone imagery and weather data. This technology seeks to optimize disease prevention and reduce chemical use in agriculture.
MIDA project aims at completing an innovative technology for the aerial orchard surveillance. MIDA permits to obtain a clear indication about the pathogen infection risk among fruit orchards.
The forecast of infection risk is permitted by the innovative combination between weather data and drone aerial imagery.
On the other hand, the historical and current weather data are modelled via an innovative neural network able to predict the leaf wetness on geographic base.
The prediction is then obtain…
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