The increased use of technologies optimizes productivity profitability, minimizes risks, and reduces costs across the farms. Agriculture 4.0 enables detailed digital information to guide decisions along the agricultural value chain. To be considered an intelligent farm, all the farm processes have to be connected, providing data in real-time. Cloud computing, the internet of things, and extensive data analysis are the basis of intelligent agriculture. Therefore, it is important to transform the data collected in the field throw these technologies into valuable data that supports better decision-making. Therefore, based on a reference model that provides a systemic view and characterizes Farm 4.0, this article aims to present an information model through a cloud computing platform to support farms decision-making. The Amazon Web Services (AWS), a cloud computing platform, was chosen to develop this work. This information model should capture the data generated in one of the information flows represented in the Farm 4.0 model to control processes and assist decision-making.
Iaksch, J., Borsato, M., Lettori, J., Peruzzini, M., Infantini, M. (2023). Cloud Computing Architecture to Assist Decision Making in Agriculture 4.0 [10.1007/9783031361210_70].
Cloud Computing Architecture to Assist Decision Making in Agriculture 4.0
Peruzzini M.;
2023
Abstract
The increased use of technologies optimizes productivity profitability, minimizes risks, and reduces costs across the farms. Agriculture 4.0 enables detailed digital information to guide decisions along the agricultural value chain. To be considered an intelligent farm, all the farm processes have to be connected, providing data in real-time. Cloud computing, the internet of things, and extensive data analysis are the basis of intelligent agriculture. Therefore, it is important to transform the data collected in the field throw these technologies into valuable data that supports better decision-making. Therefore, based on a reference model that provides a systemic view and characterizes Farm 4.0, this article aims to present an information model through a cloud computing platform to support farms decision-making. The Amazon Web Services (AWS), a cloud computing platform, was chosen to develop this work. This information model should capture the data generated in one of the information flows represented in the Farm 4.0 model to control processes and assist decision-making.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.



