Titlebook: Digital Agriculture; An Introduction Muhammad Azhar Iqbal Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusive licens

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https://doi.org/10.1007/978-3-031-67679-6Precision Agriculture; Smart Agriculture; Smart Farming; IoT-based Farming; Advanced Farming; Digital Liv

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https://doi.org/10.1007/978-1-4899-0330-3In recent times, Data is one of the most vital assets of any organization as its efficient use assists businesses to increase revenue with improved effective decision-making. The efficient use of data to discover meaningful insight for accurate predictions ultimately demands Data Science and Data Analytics services.

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Data Analytics in Digital Agriculture,In recent times, Data is one of the most vital assets of any organization as its efficient use assists businesses to increase revenue with improved effective decision-making. The efficient use of data to discover meaningful insight for accurate predictions ultimately demands Data Science and Data Analytics services.

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Fundamentals of Digital Agriculture,ed as “.” (Oxford lexico dictionary. .; National geographic society. .). As an ., agriculture emphasizes the utilization of the knowledge and skills to perform cultivation and farming of crops and livestock to attain optimum yield. From this perspective, it includes the applicability of prior knowle

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Data Acquisition in Digital Agriculture,cteristics of modern digital technologies i.e., object identification and detection of physical sensation help the collection of different types of agricultural data (Miorandi et al. Ad Hoc Netw 10:1497–1516, 2012; Raj and Raman, The internet of things: enabling technologies, platforms, and use case

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Data Communication in Digital Agriculture,eld parameters i.e., soil, crops, livestock, weather, etc.) from field sensors/devices to edge routers or gateways is based on wireless communication technologies. However, data transfer from edge routers/gateways to large-scale data centers is primarily dependent on Broadband technology. Each commu

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