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Agriculture
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data analysis. Data mining was applied to extract important and useful knowledge from large data on crops, obtained with IoTs. The knowledge discovery processes are discussed in (Han and Kamber, 2006). Data mining refers to extracting knowledge from large amounts of data. This paper divides data mining into 4 steps as follows.
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SOURCE: Farmer & Cowboy Magazine
NOTE: In today’s rapidly evolving agricultural landscape, the concept of “Farm Smart” has become increasingly important. European farmers face numerous challenges, including climate change, market fluctuations, and the need for sustainable practices. This guide provides comprehensive insights into how European farmers can adopt Farm Smart principles to enhance their farming operations. We will cover advanced techniques, sustainable practices, cost-effective solutions, money-saving hacks, budget-friendly options, and insider secrets.