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010   $a3-031-67679-3
024 7 $a10.1007/978-3-031-67679-6
035   $a(CKB)34868971200041
035   $a(MiAaPQ)EBC31651878
035   $a(Au-PeEL)EBL31651878
035   $a(DE-He213)978-3-031-67679-6
035   $a(EXLCZ)9934868971200041
100   $a20240906d2024      u|         0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aDigital Agriculture $eAn Introduction /$fby Muhammad Azhar Iqbal
205   $a1st ed. 2024.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024.
215   $a1 online resource (159 pages)
225 1 $aSpringerBriefs in Agriculture,$x2211-8098
311 08$a3-031-67678-5 
320   $aIncludes bibliographical references and index.
327   $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.
330   $aThe success of modern-day agriculture lies in the digitalization of agricultural systems. The primary aim of this book is to provide a starting point to understand the fundamentals and design of digital agriculture systems with reference to the enabling technologies that deal with the production, improvement, and protection of crops/plants and livestock. The other associated objectives of this book include the explanation of the design and deployment of IoT-based digital agriculture systems in such a simple way that agriculture students understand straightforwardly. Therefore, this book is an effort to partially fill the gap associated with the understanding of the development and deployment of digital agriculture systems (including both precision and smart farming). We believe that with the provided details of enabling technologies and their usage in digital agriculture systems, agriculture students will find it easier to comprehend the designing of small-/large-scale IoT-based digital agriculture systems. This book provides insight into different technologies, architectures, and case studies that will ultimately help students to understand the concept of Digital Agriculture and its related applications. It enables students to realize the importance of open issues and future challenges of digital agriculture systems.
410  0$aSpringerBriefs in Agriculture,$x2211-8098
606   $aAgriculture
606   $aArtificial intelligence$xData processing
606   $aMachine learning
606   $aBiology
606   $aAgronomy
606   $aAgriculture$xEconomic aspects
606   $aAgriculture
606   $aData Science
606   $aMachine Learning
606   $aBiological Sciences
606   $aAgronomy
606   $aAgricultural Economics
615  0$aAgriculture.
615  0$aArtificial intelligence$xData processing.
615  0$aMachine learning.
615  0$aBiology.
615  0$aAgronomy.
615  0$aAgriculture$xEconomic aspects.
615 14$aAgriculture.
615 24$aData Science.
615 24$aMachine Learning.
615 24$aBiological Sciences.
615 24$aAgronomy.
615 24$aAgricultural Economics.
676   $a338.10285
700   $aIqbal$b Muhammad Azhar$f1978-$01634292
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910886996103321
996   $aDigital Agriculture$94430925
997   $aUNINA