THE ROLE OF COMPUTER VISION IN SUSTAINABLE AGRICULTURE

Abstract

Agricultural sustainability represents today a movement with ascending acceptance and support in the European Union, and knowledge, innovation have an important role to play in helping farmers and rural communities meeting challenges of everyday life. This is how the transition to digitalisation takes place also in practice, not only in research, in order to help making optimal decisions. Agricultural management systems can handle data in such a way that results are processed to obtain customized solutions for each farm. To develop intelligent farming applications using robotics and artificial intelligence, remote sensors are combined with computer vision or deep learning techniques. This paper wants to bring up both technical and economic aspects for some methods of applying computer vision, in order to highlight how, with the help of agricultural knowledge and innovation, we are moving towards a data-driven management with which we will be able to face much more easily the challenges in agriculture and food production in the 21st century.