03678nam a22005655i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001100172072001600183072002300199072001500222100009100237245009400328250001800422264006900440300006600509336002600575337002600601338003600627347002400663490004600687505039600733520134401129650002402473650004602497650002902543650002002572650002102592650003502613650002402648650001802672650002902690650003202719650002102751650002802772710003402800773002602834776003602860776003602896776003602932830005302968856004603021912001403067912001403081999001703095978-3-031-67679-6DE-He21320251030112941.0cr nn 008mamaa240906s2024    sz |    s    |||| 0|eng d  a97830316767969978-3-031-67679-67 a10.1007/978-3-031-67679-62doi 4aS1-972 7aTVB2bicssc 7aTEC0030002bisacsh 7aTVB2thema1 aIqbal, Muhammad Azhar.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut98383210aDigital Agricultureh[electronic resource] :bAn Introduction /cby Muhammad Azhar Iqbal.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXIII, 151 p. 51 illus., 50 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aSpringerBriefs in Agriculture,x2211-80980 aChapter – 1 Fundamentals of Digital Agriculture -- Chapter – 2 Digital Agriculture Ecosystem -- Chapter – 3 Data Acquisition in Digital Agriculture -- Chapter – 4 Data Communication in Digital Agriculture -- Chapter – 5 Data Storage in Digital Agriculture -- Chapter – 6 Data Analytics in Digital Agriculture -- Chapter – 7 Impacts and Future Directions of Digital Agriculture.  aThe success of modern-day agriculture lies in the digitalization of agricultural systems. The primary aim of this book is to provide a starting point to understand the fundamentals and design of digital agriculture systems with reference to the enabling technologies that deal with the production, improvement, and protection of crops/plants and livestock. The other associated objectives of this book include the explanation of the design and deployment of IoT-based digital agriculture systems in such a simple way that agriculture students understand straightforwardly. Therefore, this book is an effort to partially fill the gap associated with the understanding of the development and deployment of digital agriculture systems (including both precision and smart farming). We believe that with the provided details of enabling technologies and their usage in digital agriculture systems, agriculture students will find it easier to comprehend the designing of small-/large-scale IoT-based digital agriculture systems. This book provides insight into different technologies, architectures, and case studies that will ultimately help students to understand the concept of Digital Agriculture and its related applications. It enables students to realize the importance of open issues and future challenges of digital agriculture systems. 0aAgriculture.968079 0aArtificial intelligencexData processing. 0aMachine learning.955059 0aBiology.968861 0aAgronomy.969554 0aAgriculturexEconomic aspects.14aAgriculture.96807924aData Science.24aMachine Learning.95505924aBiological Sciences.96886524aAgronomy.96955424aAgricultural Economics.2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303167678908iPrinted edition:z978303167680208iPrinted edition:z9783031676819 0aSpringerBriefs in Agriculture,x2211-809898383340uhttps://doi.org/10.1007/978-3-031-67679-6  aZDB-2-SBL  aZDB-2-SXB  c63163d63163