The evolution of agriculture 4.0, more commonly called Smart Farming, is similar to what is happening with Industry 4.0. Through the introduction of Big Data, drones and the Internet of Things are activating processes of development and connection between product and production, territory and environment, logistics and commercial network.Smart Agriculture, precision farming and precision agriculture are increasingly common terminologies in the field of technologies applied to the world of agriculture. Following the guidelines suggested by FAO, it is necessary to develop new methods of cultivation, agricultural production and approach to agriculture in order to meet the growing demand of the nine billion people who will populate the planet by 2050. The new logic based on data-based decision-making structures becomes the frontier for the development of predictive solutions that can provide indications on where, when and how to operate in an increasingly efficient and effective manner. As a result, smart farming surrounds itself with technologies such as software applications, IoT (Internet of Things) sensors, data analytics and end user services that open up new technological scenarios and business models. On the other hand, farmers do not receive a different view of their cultures than they do today, but they do have more precise, real-time-generated sets of information that can be compared, via the cloud and open data, to historical elements, as well as cross-fertilised environmental factors. Collecting data is, however, only the first step towards smart farming: it is necessary to start processing these datasets using machine learning algorithms that can, if properly trained, generate future predictions and, consequently, provide feedback to make data driven decisions for agriculture.
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Article updated on: 09 August 2023