LEADER 01557 am 22002893u 450 001 9910765880203321 005 20221027210843.0 010 $a3-947732-09-0 024 7 $a10.17885/heiup.422.613 035 $a(CKB)4100000007824019 035 $a(OAPEN)1004728 035 $a(EXLCZ)994100000007824019 100 $a20200224d|||| uy 101 0 $ager 135 $auuuuu---auuuu 200 10$aArbeit. Wohnen. Computer 210 $aHeidelberg$cHeidelberg University Publishing (heiUP)$d2018 215 $a1 online resource (520) 311 $a3-947732-11-2 330 $aIn the 1960s, between the construction of the Berlin Wall (1961) and the change of power (Ulbricht / Honecker 1971), a field of tension between the claim to power and truth of the SED on one side and the subjective obstinacy of the works of art and their creators on the other hand developed. Within it, debates arose regarding the question of the design and appearance of a future, technologically high developed and scientific socialism. Working. Living. Computer tracks down questions about the appearance of the worker of the future, the future of living, and the significance of the computer in the future and analyses these imaginative worlds of socialist dreams and desires in image, architecture, and texts. 606 $aPhotography & photographs$2bicssc 615 7$aPhotography & photographs 700 $aSukrow$b Oliver$f1985-,$4aut$01262974 906 $aBOOK 912 $a9910765880203321 996 $aArbeit. Wohnen. Computer$92955554 997 $aUNINA LEADER 07232nam 2200433 450 001 9910830653703321 005 20230212054639.0 010 $a1-119-76921-3 010 $a1-119-76923-X 010 $a1-119-76922-1 035 $a(CKB)4100000011788253 035 $a(MiAaPQ)EBC6501043 035 $a(NjHacI)994100000011788253 035 $a(CaSebORM)9781119768845 035 $a(EXLCZ)994100000011788253 100 $a20230212d2021 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAgricultural Informatics $eautomation using the IoT and machine learning /$fAmitava Choudhury [and three others] 210 1$aNewark :$cJohn Wiley & Sons, Inc.,$d2021. 215 $a1 online resource (304 pages) 225 0 $aAdvances in Learning Analytics for Intelligent Cloud-IoT Systems Ser 300 $aIncludes index. 311 $a1-119-76884-5 327 $aPreface xiii 1 A -- Study on Various -- Machine -- Learning -- Algorithms and -- Their Role in -- Agriculture -- 1Kalpana Rangra -- and Amitava -- Choudhury 1.1 -- Introduction 1 -- 1.2 Conclusions -- 9 2 Smart -- Farming Using -- Machine -- Learning and IoT -- 13Alo Sen, Rahul -- Roy and Satya -- Ranjan Dash 2.1 -- Introduction 14 -- 2.2 Related Work -- 15 2.3 Problem -- Identification 22 -- 2.4 Objective -- Behind the -- Integrated Agro- -- IoT System 23 2.5 -- Proposed -- Prototype of the -- Integrated Agro- -- IoT System 23 2.6 -- Hardware -- Component -- Requirement for -- the Integrated -- Agro-IoT System -- 26 2.7 -- Comparative -- Study Between -- Raspberry Pi vs -- Beaglebone -- Black 30 2.8 -- Conclusions 31 -- 2.9 Future Work -- 32 3 Agricultural -- Informatics vis-a- -- vis Internet of -- Things (IoT): The -- Scenario, -- Applications and -- Academic Aspects-- -- International -- Trend & Indian -- Possibilities -- 35P.K. Paul 3.1 -- Introduction 36 -- 3.2 Objectives 36 -- 3.3 Methods 37 -- 3.4 Agricultural -- Informatics: An -- Account 37 3.5 -- Agricultural -- Informatics & -- Technological -- Components: -- Basics & -- Emergence 40 -- 3.6 IoT: Basics -- and -- Characteristics -- 41 3.7 IoT: The -- Applications & -- Agriculture Areas --43 3.8 -- Agricultural -- Informatics & IoT: -- The Scenario 45 -- 3.9 IoT in -- Agriculture: -- Requirement, -- Issues & -- Challenges 49 -- 3.10 -- Development, -- Economy and -- Growth: -- Agricultural -- Informatics -- Context 50 3.11 -- Academic -- Availability and -- Potentiality of IoT -- in Agricultural -- Informatics: -- International -- Scenario & Indian -- Possibilities 51 -- 3.12 Suggestions -- 60 3.13 -- Conclusion 60 4 -- Application of -- Agricultural -- Drones and IoT -- to Understand Food -- Supply Chain -- During Post -- COVID-19 -- 67Pushan Kumar -- Dutta and -- Susanta Mitra 4.1 -- Introduction 68 -- 4.2 Related Work -- 69 4.3 Smart -- Production With -- the Introduction -- of Drones and IoT -- 72 4.4 -- Agricultural -- Drones 75 4.5 -- IoT Acts as a -- Backbone in -- Addressing -- COVID-19 -- Problems in -- Agriculture 77 -- 4.6 Conclusion -- 81 5 IoT and -- Machine --Learning-Based -- Approaches for -- Real Time -- Environment -- Parameters -- Monitoring in -- Agriculture: An -- Empirical Review -- 89Parijata -- Majumdar and -- Sanjoy Mitra 5.1 -- Introduction 90 -- 5.2 Machine -- Learning (ML)- -- Based IoT -- Solution 90 5.3 -- Motivation of the -- Work 91 5.4 -- Literature Review -- of IoT-Based -- Weather and -- Irrigation -- Monitoring for -- Precision -- Agriculture 91 -- 5.5 Literature -- Review of -- Machine -- Learning-Based -- Weather and -- Irrigation -- Monitoring for -- Precision -- Agriculture 92 -- 5.6 Challenges -- 112 5.7 -- Conclusion and -- Future Work 113 -- 6 Deep Neural -- Network-Based -- Multi-Class -- Image -- Classification for -- Plant Diseases -- 117Alok Negi, -- Krishan Kumar -- and Prachi Chauhan 6.1 -- Introduction 117 -- 6.2 Related Work -- 119 6.3 -- Proposed Work -- 121 6.4 Results -- and Evaluation -- 124 6.5 -- Conclusion 127 7 -- Deep Residual -- Neural Network -- for Plant Seedling -- Image -- Classification -- 131Prachi -- Chauhan, -- Hardwari Lal -- Mandoria and -- Alok Negi 7.1 -- Introduction 131 -- 7.2 Related Work -- 136 7.3 -- Proposed Work -- 139 7.4 Result -- and Evaluation -- 142 7.5 -- Conclusion 144 8 -- Development of -- IoT-Based Smart -- Security and -- Monitoring -- Devices for -- Agriculture -- 147Himadri Nath -- Saha, Reek Roy, -- Monojit -- Chakraborty and -- Chiranmay Sarkar -- 8.1 Introduction -- 148 8.2 -- Background & -- Related Works -- 150 8.3 -- Proposed Model -- 155 8.4 -- Methodology -- 160 8.5 -- Performance -- Analysis 165 8.6 -- Future Research -- Direction 166 8.7 -- Conclusion 167 9 -- An Integrated -- Application of -- IoT-Based WSN -- in the Field of -- Indian Agriculture -- System Using -- Hybrid -- Optimization -- Technique and -- Machine -- Learning -- 171Avishek -- Banerjee, Arnab -- Mitra and -- Arindam Biswas -- 9.1 Introduction -- 172 9.2 -- Literature Review -- 175 9.3 -- Proposed Hybrid -- Algorithms (GA- -- MWPSO) 177 -- 9.4 Reliability -- Optimization and -- Coverage -- Optimization -- Model 179 9.5 -- Problem -- Description 181 -- 9.6 Numerical -- Examples, -- Results and -- Discussion 182 -- 9.7 Conclusion - 183 10 -- Decryption and -- Design of a -- Multicopter -- Unmanned Aerial -- Vehicle (UAV) for -- Heavy Lift -- Agricultural -- Operations -- 189Raghuvirsinh -- Pravinsinh -- Parmar 10.1 -- Introduction 190 -- 10.2 History of -- Multicopter -- UAVs 192 10.3 -- Basic -- Components of -- Multicopter UAV -- 193 10.4 -- Working and -- Control -- Mechanism of -- Multicopter UAV -- 207 10.5 Design -- Calculations and -- Selection of -- Components 210 -- 10.6 Conclusion -- 218 11 IoT- -- Enabled -- Agricultural -- System -- Application, -- Challenges and -- Security Issues -- 223Himadri Nath -- Saha, Reek Roy, --Monojit --Chakraborty and -- Chiranmay Sarkar -- 11.1 Introduction -- 224 11.2 -- Background & -- Related Works -- 226 11.3 -- Challenges to -- Implement IoT- -- Enabled Systems -- 232 11.4 -- Security Issues -- and Measures -- 240 11.5 Future -- Research -- Direction 243 -- 11.6 Conclusion -- 244 12 Plane -- Region Step -- Farming, Animal -- and Pest Attack -- Control Using -- Internet of -- Things -- 249Sahadev Roy, -- Kaushal -- Mukherjee and -- Arindam Biswas -- 12.1 Introduction -- 250 12.2 -- Proposed Work -- 254 12.3 -- Irrigation -- Methodology -- 257 12.4 Sensor -- Connection -- Using Internet of -- Things 259 12.5 -- Placement of -- Sensor in the -- Field 263 12.6 -- Conclusion 267 -- References 268 -- Index 271. 330 $aThis book focuses on all these topics, including a few case studies, and they give a clear indication as to why these techniques should now be widely adopted by the agriculture and farming industries. -- Edited summary from book. 606 $aAgriculture$xData processing 615 0$aAgriculture$xData processing. 676 $a338.10285 700 $aChoudhury$b Amitava$01693619 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910830653703321 996 $aAgricultural Informatics$94071562 997 $aUNINA LEADER 01758nam0 22003973i 450 001 UFI0565809 005 20251003044430.0 010 $a9788863102734 100 $a20121001d2011 ||||0itac50 ba 101 | $aita 102 $ait 181 1$6z01$ai $bxxxe 182 1$6z01$an 183 1$6z01$anc$2RDAcarrier 200 1 $aGuida all'Eurocodice 2$eprogettazione delle strutture in calcestruzzo$eEN 1992 - 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