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The Power of Predictive Analytics in Agriculture
CASE STUDY
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How to use data measurements related to climate, soil, and crop physiology to help farmers make decisions based on real insights.
Where: italy
Mission
How to use data measurements related to climate, soil, and crop physiology to help farmers make decisions based on real insights.
Solution
A predictive platform for efficient agriculture that delivers reliable assessments of atmospheric phenomena cycles and crop disease evaluation in the field. The solution empowers farmers to practice sustainable and smart farming, enhancing both yield and crop quality through predictive analytics, while also receiving early warnings and actionable recommendations for disease prevention and treatment.
Digital Ecosystem
Actions
Digital Ecosystem
With IoT sensors, it is possible to collect real-time data on weather and soil conditions and integrate it into a cloud platform for analysis. By leveraging Artificial Intelligence and algorithms, this data can be transformed into actionable insights to predict crop outcomes, management inputs, and other system changes based on agricultural, biological, climatic, hydrological, and economic data. Farmers can analyze the microclimate and identify environmental factors that optimize crop development and help prevent the spread of plant diseases.
Expected results
