On.Leaf allows you to:
• Monitor fields in real time, through satellite maps for field monitoring, weather graphs, vegetative indices and production data. It also provides several useful tools, such as the processing function and document management for each type of certification (SQNPI, GLOBAL GAP, etc.).
• Analyze data from different sources, such as IoT sensors, satellite images, and weather. In addition, On.Leaf manages the data from the related app – the tool that farmers can use to fill out guided questionnaires on crops, indicating phenological phases and reporting adversity.
• Support agronomic decisions, thanks to predictive models and alert systems that exploit Machine Learning algorithms and Machine Vision techniques to suggest the ideal harvest date, the expected quantity and any anomalies of the single crop. Furthermore, through Machine Learning algorithms, it is possible to predict the Phenological Phases of the crop (Vine and Fruit), in addition to the water balance of the plant. Thanks to Artificial Intelligence, predictive models for defence (diseases) and frosts are also made available.
• Optimise the use of resources through irrigation advice which, based on the crop, weather forecasts and information received from humidity sensors, provides the farmer with an indication of how much and when to irrigate. This promotes a proper and, above all, sustainable approach to irrigation.
This makes On.Leaf an ideal solution for monitoring all agricultural activities in real time, support agronomic technicians in daily choices and improve the efficiency of the supply chain.
