The technological revolution has reached the agricultural sector to stay with Artificial Intelligence (AI)

Farmers and farms must face an increasingly competitive sector with greater demand at tighter prices. 

The Artificial Intelligence (AI) is contributing to the digital transformation of the agricultural sector and revolutionizing its operation. Artificial intelligence expands the possibilities of generating value in agriculture, being essential to face the ecological transition. The reduction of inputs and the automation of tasks are two of its functionalities. This drives the sector to join new technologies. This drives the sector to join new technologies. 

Artificial Intelligence (AI) in agriculture 

They are all those capabilities that a device, sensor, monitor or computer is capable of performing with great precision, collecting a series of data that allows us to adjust and optimize the different cultivation tasks that we have. 

Examples of application of Artificial Intelligence (AI)

Monitoring 

A cobot (collaborative robot prepared to work with people) offers solutions for the robotic automation of manual processes. Programmed with artificial intelligence, it can collect, analyze and use information to optimize almost any industrial process. 

 Artificial vision 

Computer vision is a subfield of artificial intelligence (AI).  

Thanks to it you can detect and recognize objects or products.

For example, in the fruit and vegetable sector, it allows you to classify fruits by color, shape, size... as well as analyze the results and make the corresponding decisions. That is, a machine that is capable of detecting rotten citrus fruits on a packaging line, which avoids the need for specialized personnel to be exposed to the dangerous ultraviolet light used to detect this important damage. 

It is convenient to highlight that there are platforms that process the data, which will be managed and transformed into usable information. 

Benefits of applying artificial intelligence (AI) 

1. Crop productivity predictions. 
2. Diagnosis of diseases in crops. 
3. Optimization of resources, such as irrigation, fertilizers or phytosanitary products. 
4. Development of predictive models in order to know all the exact needs to keep the plants in an optimal state. 
5. Increased productivity, quality control and traceability of the harvested fruit. 
6. Obtaining more competitive prices. 
7. Improvement of human work conditions. 
8. Automation of collection tasks. 
9. Classification of fruits and vegetables according to size, shape, weight, color, level of ripeness, density, external quality... 
10. Management of the interior climate of the greenhouse efficiently. 

Conclusion

With this, agents are provided with useful instruments to be able to apply agriculture based on knowledge and efficiency. 

The use of better technical systems, cameras, augmented reality, drones and computing has shown that in many cases a reduction of up to 90% of many types of phytosanitary products is achieved. 

And even the application of artificial intelligence (AI) to strengthen the health of plants in a biological and natural way. Making them more resistant to diseases, with proven improvements in crop yields of around 20%. 

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