Advance of data driven technical-economic models for optimization of Romanian farmer production processes
2023
Vili, Dragomir | Butu, Marian | Rodino, Steliana | Sterie, Cristina
The agriculture sector relies heavily on knowledge and information. Farmers need to deal and process a range of data, including financial, climatic, technical, and regulatory details, to effectively manage their farms. In this context, in this paper we report on advancement and integration of data driven digital tools in current agricultural practices in Romania. Other concepts such as digitization, digitalization and precision agriculture are also discussed. Data driven systems for agricultural sector are sophisticated infrastructures designed to facilitate the entire spectrum of agricultural knowledge management. In essence, these systems serve as dynamic hubs where of agricultural information is not only generated but also seamlessly transformed and synthesized. The overarching purpose of this complex transposition is to provide a solid foundation for agricultural producers to effectively harness and employ the affluence of knowledge available to them. For improving the farmers’ activity, both public and private sector is interested to provide them with pertinent data-based visions and analyses. However, deficiencies within this agricultural information framework, manifested as the inability to consistently deliver precise, timely, and easily accessible information, pose various obstacles for farmers.
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书目信息
出版者 University of Belgrade, Faculty of Agriculture, Belgrade, Serbia