Agricultural Data Science

Agricultural Data Science involves the analysis, interpretation, and application of data related to various aspects of agriculture, such as crop production, livestock management, soil health, and environmental sustainability. This field utilizes various statistical, computational, and technological tools to collect, process, and analyze data in order to optimize agricultural practices, improve yields, and address challenges faced by the agricultural industry.

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University of Florida Institute of Food and Agricultural Sciences - University of Florida, Institute of Food and Agricultural Sciences - UF/IFAS
College of Agricultural and Life Sciences - University of Florida, Institute of Food and Agricultural Sciences - UF/IFAS
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The Agricultural Research Council is a premier science institution that conducts research with partners, develops human capital and fosters innovation to support and develop the agricultural sector.
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Plant and Agroecosystem Sciences – College of Agricultural Life Sciences
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Data-centric Machine Learning Research | The Journal of Data-centric Machine Learning Research (DMLR) is a new member of the JMLR family, aiming to provide a top archival venue for high-quality scholarly articles focused on the data aspect of machine learning research.
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Data Science Deep Dive | INWT Statistics GmbH



Related Categories

Agricultural Data Science
AI in Agricultural Data Science