Precision farming
Traditional agriculture is based on observations and experience of farmers and field workers. However, by using new technologies, it is possible to analyse a multitude of parameters. When we combine them with information on the competitive environment, we can determine what actions are needed to improve productivity, to save costs and to be more sustainable. Increasingly, farms must be able to produce competitively and to the highest quality, as if they were an industry.
Precision Farming involves observing, measuring and responding to the variety of parameters that influence crops. Agriculture 4.0 implies an evolution through the use of robotic technologies and advanced information technologies that generate value from the intelligent processing and fusion of captured data.
R&D projects involving mobile robotics, sensors and remote sensing, artificial intelligence and information technologies applied to the agricultural sector aim to improve crop productivity and production profitability, to reduce the environmental impact of agricultural tasks and to monitor and manage crop risks. There are many potential target applications in this type of technological innovation projects for such a large and high-potential sector.
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