Image recognition is a technology that is playing an increasingly important role in agriculture, bringing numerous benefits and opportunities. With advanced algorithms and tools, image recognition enables farmers to automate processes, improve efficiency and optimise production.

One of the main applications of image recognition in agriculture is crop monitoring. Vision systems can analyse images of fields and plants, identifying, for example, pests, diseases or water shortages. This allows farmers to react quickly to potential problems and take appropriate action to minimise losses and improve yields.

Another important application is the automatic sorting and grading of crops. Vision systems can recognise and segregate fruit, vegetables or cereals based on their shape, colour or size, facilitating the packaging and distribution process and ensuring compliance with specific quality standards.

Image recognition also finds application in farm management. With the help of cameras and sensors, farmers can monitor animal behaviour, track health and welfare status, and automatically identify individual animals. This allows for better animal care and optimisation of breeding processes.

Finally, image recognition is used to optimise the application of crop protection products. Vision systems can identify areas of the field where weeds or diseases are present, enabling precise application of protection products only where necessary, minimising chemical use and environmental impact.

In conclusion, image recognition is becoming an indispensable tool in the agricultural industry, allowing farmers to better control and manage their crops and animals. Further development of this technology will be key to the future growth and sustainability of agriculture.