We select the most innovative approach, skills and tools to bring the best of smart farming technologies to your business.
Smart farming data refers to the large and diverse datasets generated using modern technologies and smart devices in agriculture (Anil,& al, 2023;Wu & al, 2023). These datasets include information collected from IoT devices and sensors, as well as data related to agricultural production processes, crop patterns, and farm management (Alwis & al, 2022; Amiri-Zarand & al, 2022). The volume, velocity, and variety of these data sources classify them as big data (Nguyen & al, 2022). The analysis of smart farming data can provide valuable insights for decision-making in various aspects of farming, such as yield prediction, growth analysis, quality maintenance, and farm management. However, the proper utilization of smart farming data requires addressing challenges related to data categorization, optimization, accurate predictions, data challenges, and privacy concerns. By effectively managing and analyzing smart farming data, farmers and other stakeholders can improve productivity, crop yield, food quality, and profitability in the agricultural sector.
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4. Mohammad, Amiri-Zarandi., Rozita, Dara., Emily, Duncan., Evan, D., G., Fraser. (2022). Big Data Privacy in Smart Farming: A Review. Sustainability, doi: 10.3390/su14159120
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