Artificial intelligence

The implementation of guidance and sensing technologies, analytics and other technologies has enabled data-driven agriculture. With AI (artificial intelligence) it has been possible to predict and react quickly to unpredictable agricultural situations. Predictive analytics helps maintain efficient agricultural production and is one of the most widespread AI use cases in agriculture. The data used by these AI systems can come from different sources. One of them is by analyzing satellite images with machine learning algorithms. With the help of new technologies and artificial intelligence, farmers manage to have total control over the entire plantation. Software that correctly analyzes the data can warn of problems in real time and make the necessary and appropriate decisions so that crops are as profitable as possible. AI in agriculture consists of aerial and aquatic drones, electrical, visual, olfactory and biological sensors, with all possible information it creates analysis files of the area, depending on what you need to know, it combines information from geographical position systems and genetics.