Use Case
The Power of Predictive Analytics in Agriculture
How to use data measurements related to climate, soil crop physiology to help farmers make data-driven decisions for the future
Where: italy
Where: italy
Mission
Support global food security and plant conservation.
By accurately predicting the suitability of crops under current and future climatic conditions.
Solution
An efficient predictive agriculture platform that provides reliable assessments of the periodicity of atmospheric phenomena and crop disease assessment in a field.
The solution helps farmers to practice productive, sustainable and smart agriculture in terms of yield and crop quality by following predictive analysis and also receiving early warning and suggestions for disease prevention and treatment.
Digital Ecosystem
Actions
Digital Ecosystem
With IoT sensors, it is possible to collect data on climate and soil conditions in real time and integrate it into a cloud platform for the analysis process.
Turn data into insights by using Artificial Intelligence and algorithms to predict crop outcomes, management inputs and other system changes based on agricultural, biological, climatic, hydrological and economic data.
The farmer can analyse the microclimate and identify the environmental factors that can optimise crop development and prevent the spread of plant diseases.
Expected results
Reduce the impact on the environment
Improve crop quality, crop yield, ROI, and more sustainable agricultural production systems
Technologies
Internet Of Things
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From the Internet of Things to the Internet of Me: the key to data connection.
AI & Advanced Analytics
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The power of big data leads services, products and processes to a higher level of "intelligence".
Cloud
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Intelligent Ecosystems for a Cloud Strategy.
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