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2010 International Conference on Computer and Communication Technologies in Agriculture Engineering : 12-13 June 2010
| 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering : 12-13 June 2010 |
| Pubbl/distr/stampa | New York : , : IEEE, , 2010 |
| Descrizione fisica | 1 online resource (623 pages) |
| Soggetto topico |
Agriculture - Data processing
Agricultural engineering - Technological innovations |
| ISBN | 1-4244-6947-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996203760603316 |
| New York : , : IEEE, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
2010 International Conference on Computer and Communication Technologies in Agriculture Engineering : 12-13 June 2010
| 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering : 12-13 June 2010 |
| Pubbl/distr/stampa | New York : , : IEEE, , 2010 |
| Descrizione fisica | 1 online resource (623 pages) |
| Soggetto topico |
Agriculture - Data processing
Agricultural engineering - Technological innovations |
| ISBN | 1-4244-6947-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910140659803321 |
| New York : , : IEEE, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
2020 International Conference on Computer Science and Its Application in Agriculture (ICOSICA) / / Institute of Electrical and Electronics Engineers (IEEE)
| 2020 International Conference on Computer Science and Its Application in Agriculture (ICOSICA) / / Institute of Electrical and Electronics Engineers (IEEE) |
| Pubbl/distr/stampa | Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers (IEEE), , 2020 |
| Descrizione fisica | 1 online resource : illustrations |
| Disciplina | 630.2085 |
| Soggetto topico |
Agriculture - Data processing
Computational intelligence Conference papers and proceedings |
| ISBN | 1-7281-6907-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | 2020 International Conference on Computer Science and Its Application in Agriculture |
| Record Nr. | UNINA-9910437240103321 |
| Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers (IEEE), , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
2020 International Conference on Computer Science and Its Application in Agriculture (ICOSICA) / / Institute of Electrical and Electronics Engineers (IEEE)
| 2020 International Conference on Computer Science and Its Application in Agriculture (ICOSICA) / / Institute of Electrical and Electronics Engineers (IEEE) |
| Pubbl/distr/stampa | Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers (IEEE), , 2020 |
| Descrizione fisica | 1 online resource : illustrations |
| Disciplina | 630.2085 |
| Soggetto topico |
Agriculture - Data processing
Computational intelligence Conference papers and proceedings |
| ISBN | 1-7281-6907-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | 2020 International Conference on Computer Science and Its Application in Agriculture |
| Record Nr. | UNISA-996575539503316 |
| Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers (IEEE), , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Agricultural Informatics : automation using the IoT and machine learning / / Amitava Choudhury [and three others]
| Agricultural Informatics : automation using the IoT and machine learning / / Amitava Choudhury [and three others] |
| Autore | Choudhury Amitava |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Inc., , 2021 |
| Descrizione fisica | 1 online resource (304 pages) |
| Disciplina | 338.10285 |
| Collana | Advances in Learning Analytics for Intelligent Cloud-IoT Systems Ser |
| Soggetto topico | Agriculture - Data processing |
| ISBN |
1-119-76921-3
1-119-76923-X 1-119-76922-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface 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. |
| Record Nr. | UNINA-9910642859303321 |
Choudhury Amitava
|
||
| Newark : , : John Wiley & Sons, Inc., , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Agricultural Informatics : automation using the IoT and machine learning / / Amitava Choudhury [and three others]
| Agricultural Informatics : automation using the IoT and machine learning / / Amitava Choudhury [and three others] |
| Autore | Choudhury Amitava |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Inc., , 2021 |
| Descrizione fisica | 1 online resource (304 pages) |
| Disciplina | 338.10285 |
| Collana | Advances in Learning Analytics for Intelligent Cloud-IoT Systems Ser |
| Soggetto topico | Agriculture - Data processing |
| ISBN |
1-119-76921-3
1-119-76923-X 1-119-76922-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface 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. |
| Record Nr. | UNINA-9910830653703321 |
|
Choudhury Amitava
|
||
| Newark : , : John Wiley & Sons, Inc., , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Agriculture and environment perspectives in intelligent systems / / edited by Andrés Muñoz and Jaehwa Park
| Agriculture and environment perspectives in intelligent systems / / edited by Andrés Muñoz and Jaehwa Park |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Amsterdam, Netherlands : , : IOS Press, , [2019] |
| Descrizione fisica | 1 online resource (122 pages) |
| Disciplina | 338.16 |
| Collana | Ambient Intelligence and Smart Environments |
| Soggetto topico |
Agriculture - Data processing
Agricultural innovations |
| ISBN | 1-61499-969-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Intro -- Title Page -- Preface -- Contents -- Controlled Environment Agriculture: Using Intelligent Systems on the Next Level -- Intelligent Environmental Biomonitoring Systems: A Promising Arena for Future -- A Novel Design and Implementation of Data Acquisition and Preprocessing System for Precision Agriculture -- Prediction of Uptake of Carbamazepine and Diclofenac in Reclaimed Water-Irrigated Lettuces by Machine Learning Techniques -- Minimum Temperature Prediction Models in Plots to Forecast Frost in Crops -- Subject Index -- Author Index. |
| Record Nr. | UNINA-9910793756803321 |
| Amsterdam, Netherlands : , : IOS Press, , [2019] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Agriculture and environment perspectives in intelligent systems / / edited by Andrés Muñoz and Jaehwa Park
| Agriculture and environment perspectives in intelligent systems / / edited by Andrés Muñoz and Jaehwa Park |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Amsterdam, Netherlands : , : IOS Press, , [2019] |
| Descrizione fisica | 1 online resource (122 pages) |
| Disciplina | 338.16 |
| Collana | Ambient Intelligence and Smart Environments |
| Soggetto topico |
Agriculture - Data processing
Agricultural innovations |
| ISBN | 1-61499-969-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Intro -- Title Page -- Preface -- Contents -- Controlled Environment Agriculture: Using Intelligent Systems on the Next Level -- Intelligent Environmental Biomonitoring Systems: A Promising Arena for Future -- A Novel Design and Implementation of Data Acquisition and Preprocessing System for Precision Agriculture -- Prediction of Uptake of Carbamazepine and Diclofenac in Reclaimed Water-Irrigated Lettuces by Machine Learning Techniques -- Minimum Temperature Prediction Models in Plots to Forecast Frost in Crops -- Subject Index -- Author Index. |
| Record Nr. | UNINA-9910828501803321 |
| Amsterdam, Netherlands : , : IOS Press, , [2019] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
AgroTech : AI, Big Data, IoT / / Elena G. Popkova and Anastasia A. Sozinova, editors
| AgroTech : AI, Big Data, IoT / / Elena G. Popkova and Anastasia A. Sozinova, editors |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore Pte Ltd., , [2022] |
| Descrizione fisica | 1 online resource (243 pages) |
| Disciplina | 338.16 |
| Soggetto topico |
Agriculture - Data processing
Artificial intelligence - Agricultural applications Agricultural innovations |
| ISBN | 981-19-3555-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- AgroTech as a Digital Vector of Sustainable Development of the Agricultural Economy (Introduction) -- Contents -- AgroTech: A New Model of Agriculture Under the Conditions of the Digital Economy Based on AI, Big Data and IoT -- Farm Machinery Depots in Technical and Digital Support of Agriculture -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Directions for Stimulating Digitalization in the Agricultural Sector of the Russian Economy -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 4 Discussion -- 4.1 Lack of Financial Resources for the Implementation of Digital Technology in Most Agricultural Producers -- 4.2 Deficit of Qualified Personnel and IT Specialists in the Agricultural Sector -- 4.3 Low Awareness of Digitalization Opportunities Among Agricultural Producers -- 5 Conclusion -- Appendix -- Appendix 1 -- Appendix 2 -- Appendix 3 -- Appendix 4 -- References -- Agroecology in the Context of Sustainable Development: Improving the Environmental Information System -- 1 Introduction -- 2 Methodology -- 3 Results -- 4 Conclusions and Recommendations -- References -- Green Energy Stimulating State Policy as a Factor of New Economic Cycle Formation -- 1 Introduction -- 2 Material and Method -- 2.1 Commodity Cycles -- 3 Results -- 3.1 State Policy to the Green Energy Transition -- 3.2 Russia -- 4 Conclusion -- References -- Study of "Digital Portraits" and Value Priorities of Rural and Urban Residents as a Component of Strategic Planning and Forecasting of Rural Socio-economic Development -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Case Experience of the Formation and Development of AgroTech in Russia and Its Regions.
Issues Related to the Implementation of Russian Regulatory Documents Harmonized with International Approaches Regarding Food Safety Control -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Prerequisites for the Administrative Reform of Rural Areas (on the Example of the Republic of Bashkortostan) -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 4 Conclusions -- References -- Development of Digital Regional Ecosystems: Russian Specifics and Risk Leveling -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Results -- 5 Conclusions -- References -- Prospects for the Development of Export-Oriented Agricultural Production in the Stavropol Region -- 1 Introduction -- 2 Methodology -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- The Value of Cooperation and Tendencies of Its Development in the Agricultural Business of Geostrategic Border Territories -- 1 Introduction -- 2 Methodology -- 3 Results -- 4 Conclusion -- References -- Current Global and Russian Trends in the Development of Investment and Innovation in the Agro-Industrial Complex -- 1 Introduction -- 2 Methodology -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Economic Efficiency of Anti-Stress and Phytohormone Preparations in Cultivation of Spring Rape in Soil and Climatic Conditions of the Republic of Tatarstan -- 1 Introduction -- 2 Methods and Research Conditions -- 3 Results and Discussion -- 4 Conclusion -- References -- The Current Problems of Agriculture and the Perspectives of Their Resolution Based on AgroTech -- Quality as an Integral Component of the Reproduction of Technical Resources in Agriculture -- 1 Introduction -- 2 Methods -- 3 Results and Discussion -- 4 Conclusion -- References -- Environmental and Economic Problems of Using the Biofuel Market. 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 4 Conclusion -- References -- Assessment of Trends in Financial Indicators of State Support for the Agricultural Sector in the Context of Integration Interactions -- 1 Introduction -- 2 Methodology -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- The Design of Learning Results According to International CDIO Standards as a Context for Improving Engineering Education at Agrarian University -- 1 Introduction -- 2 Methodology -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Environmental Controlling as a Tool for Strategic Management of Sustainable Development of an Agricultural Organization -- 1 Introduction -- 2 Methodology -- 3 Results -- 4 Conclusion -- References -- Psychosemantic Analysis of the Economic Consciousness of Students of Agricultural University Under the Conditions of Digitalization of the Economy -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 4 Conclusion -- References -- Food Security Challenges to Agriculture and a Promising Response to Them in AgroTech -- 1 Introduction -- 2 Literature Review -- 3 Materials and Method -- 4 Results -- 5 Conclusion -- References -- Applied Recommendations and Frameworks of the Development of AgroTech -- Neural Networks and Artificial Intelligence in Stockbreeding and Forecasting Dairy Cattle Productivity -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Blockchain Information System-A Tool for Digitalization of the Agricultural Sector -- 1 Introduction -- 2 Methodology -- 3 Results -- 4 Conclusion -- References -- Effects of Replacing Cereal Concentrates with Grain-Free Feeds on Growth and Development of Weaned Foals -- 1 Introduction -- 2 Methodology -- 3 Results -- 4 Discussion -- 5 Conclusion -- References. Applied Solutions for Launching Autonomous Agricultural Production Based on AgroTech and Their Contribution to Sustainable Innovation in Agribusiness -- 1 Introduction -- 2 Literature Review -- 3 Materials and Method -- 4 Results -- 5 Conclusion -- References -- Climate-Resilient Agriculture in AgroTech: Advantages for Risk Management of Agrarian Business -- 1 Introduction -- 2 Literature Review -- 3 Materials and Method -- 4 Results -- 5 Conclusion -- References -- The Mechanism of Innovative Development of Agribusiness Based on AI, Big Data, and IoT for Transitioning to Expanded Reproduction in AgroTech -- 1 Introduction -- 2 Literature Review -- 3 Materials and Method -- 4 Results -- 5 Conclusion -- References -- Challenges of the Development of AgroTech in the Decade of Action (Conclusion). |
| Record Nr. | UNINA-9910592985803321 |
| Singapore : , : Springer Nature Singapore Pte Ltd., , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big data in agriculture : BDA
| Big data in agriculture : BDA |
| Pubbl/distr/stampa | Cyberjaya, Selangor : , : Zibeline International Publishing, , [2019]- |
| Descrizione fisica | 1 online resource |
| Soggetto topico |
Agriculture - Data processing
Agriculture - Developing countries - Data processing |
| Soggetto genere / forma |
Periodicals
Periodicals. |
| ISSN | 2682-7786 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | BDA |
| Record Nr. | UNINA-9910394104403321 |
| Cyberjaya, Selangor : , : Zibeline International Publishing, , [2019]- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
