From Industry 4.0 to Agriculture 4.0: Current Status, Enabling Technologies, and Research Challenges
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Adnan M. Abu-Mahfouz | Xiaoyuan Ma | Gerhard Petrus Hancke | Ye Liu | Lei Shu | G. Hancke | Ye Liu | A. Abu-Mahfouz | Lei Shu | Xiaoyuan Ma
[1] M. Rapela. Fostering Innovation for Agriculture 4.0: A Comprehensive Plant Germplasm System , 2019 .
[2] K. Otsuka,et al. Why African rural development strategies must depend on small farms , 2016 .
[3] David Ball,et al. Farm Workers of the Future: Vision-Based Robotics for Broad-Acre Agriculture , 2017, IEEE Robotics & Automation Magazine.
[4] Lei Shu,et al. Security and Privacy for Green IoT-Based Agriculture: Review, Blockchain Solutions, and Challenges , 2020, IEEE Access.
[5] S. Wolfert,et al. Big Data in Smart Farming – A review , 2017 .
[6] Guan Gui,et al. Deep Learning Based Improved Classification System for Designing Tomato Harvesting Robot , 2018, IEEE Access.
[7] Nadeem Javaid,et al. Blockchain-Based Agri-Food Supply Chain: A Complete Solution , 2020, IEEE Access.
[8] Evan D. G. Fraser,et al. Opportunities and Challenges for Big Data in Agricultural and Environmental Analysis , 2018, Annual Review of Resource Economics.
[9] Eryk Dutkiewicz,et al. Proof-of-Stake Consensus Mechanisms for Future Blockchain Networks: Fundamentals, Applications and Opportunities , 2019, IEEE Access.
[10] Fei Tao,et al. Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison , 2018, IEEE Access.
[11] Junyu Wang,et al. Food Safety Traceability System Based on Blockchain and EPCIS , 2019, IEEE Access.
[12] Fernando Auat Cheein,et al. Human–robot interaction in agriculture: A survey and current challenges , 2019, Biosystems Engineering.
[13] Tianjian Chen,et al. Federated Machine Learning: Concept and Applications , 2019 .
[14] Jiabin Yu,et al. Blockchain-Based Safety Management System for the Grain Supply Chain , 2020, IEEE Access.
[15] Hyoung Il Son,et al. Modeling and Control of Heterogeneous Agricultural Field Robots Based on Ramadge–Wonham Theory , 2020, IEEE Robotics and Automation Letters.
[16] S. Andrew Gadsden,et al. An overview of autonomous crop row navigation strategies for unmanned ground vehicles , 2019, Engineering in Agriculture, Environment and Food.
[17] Ismo Hakala,et al. Effects of temperature and humidity on radio signal strength in outdoor wireless sensor networks , 2015, 2015 Federated Conference on Computer Science and Information Systems (FedCSIS).
[18] P. Craufurd,et al. Gender differentiated small-scale farm mechanization in Nepal hills: An application of exogenous switching treatment regression , 2020, Technology in society.
[19] Lammert Kooistra,et al. Fast Classification of Large Germinated Fields Via High-Resolution UAV Imagery , 2019, IEEE Robotics and Automation Letters.
[20] Grzegorz Cielniak,et al. Analysis of Morphology-Based Features for Classification of Crop and Weeds in Precision Agriculture , 2018, IEEE Robotics and Automation Letters.
[21] Yuan He,et al. From Surveillance to Digital Twin: Challenges and Recent Advances of Signal Processing for Industrial Internet of Things , 2018, IEEE Signal Processing Magazine.
[22] N. Guiomar,et al. Typology and distribution of small farms in Europe: Towards a better picture , 2018, Land Use Policy.
[23] D. Heederik,et al. Impacts of Intensive Livestock Production on Human Health in Densely Populated Regions , 2017, GeoHealth.
[24] Fadel Adib,et al. Networking across boundaries: enabling wireless communication through the water-air interface , 2018, SIGCOMM.
[25] Mukesh K. Mohania,et al. Internet of Blockchains: Techniques and Challenges Ahead , 2018, 2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData).
[26] Mohammed Samaka,et al. Security Services Using Blockchains: A State of the Art Survey , 2018, IEEE Communications Surveys & Tutorials.
[27] Jean-Pierre Belaud,et al. Big data for agri-food 4.0: Application to sustainability management for by-products supply chain , 2019, Comput. Ind..
[28] J. Alex Thomasson,et al. A review of the state of the art in agricultural automation. Part III: Agricultural machinery navigation systems , 2018 .
[29] Ricardo Carelli,et al. Agricultural Robotics: Unmanned Robotic Service Units in Agricultural Tasks , 2013, IEEE Industrial Electronics Magazine.
[30] Massimo Vecchio,et al. Blockchain-based traceability in Agri-Food supply chain management: A practical implementation , 2018, 2018 IoT Vertical and Topical Summit on Agriculture - Tuscany (IOT Tuscany).
[31] David Kelton,et al. Recent advancement in biosensors technology for animal and livestock health management. , 2017, Biosensors & bioelectronics.
[32] Rakesh D. Raut,et al. Enabling Technologies for Industry 4.0 Manufacturing and Supply Chain: Concepts, Current Status, and Adoption Challenges , 2020, IEEE Engineering Management Review.
[33] Man Zhang,et al. Development of a following agricultural machinery automatic navigation system , 2019, Comput. Electron. Agric..
[34] Nathalie Mitton,et al. Denial-of-Sleep Attacks against IoT Networks , 2019, 2019 6th International Conference on Control, Decision and Information Technologies (CoDIT).
[35] Hod Lipson,et al. Additive manufacturing for the food industry , 2015 .
[36] James W. Peltier,et al. Digital information flows across a B2C/C2C continuum and technological innovations in service ecosystems: A service-dominant logic perspective , 2020, Journal of Business Research.
[37] Lucas Santos Dalenogare,et al. Industry 4.0 technologies: Implementation patterns in manufacturing companies , 2019, International Journal of Production Economics.
[38] Tristan Perez,et al. Peduncle Detection of Sweet Pepper for Autonomous Crop Harvesting—Combined Color and 3-D Information , 2017, IEEE Robotics and Automation Letters.
[39] Roland Siegwart,et al. AgriColMap: Aerial-Ground Collaborative 3D Mapping for Precision Farming , 2018, IEEE Robotics and Automation Letters.
[40] Qassim Nasir,et al. Inter Blockchain Communication: A Survey , 2019, ArabWIC 2019.
[41] Ye Liu,et al. EcoVibe: On-Demand Sensing for Railway Bridge Structural Health Monitoring , 2019, IEEE Internet of Things Journal.
[42] Yael Edan,et al. Automatic Adjustable Spraying Device for Site-Specific Agricultural Application , 2018, IEEE Transactions on Automation Science and Engineering.
[43] S. Brodt,et al. Feasibility and sustainability of agroforestry in temperate industrialized agriculture: preliminary insights from California , 2019, Renewable Agriculture and Food Systems.
[44] Fumiya Iida,et al. Achieving Robotically Peeled Lettuce , 2018, IEEE Robotics and Automation Letters.
[45] Fan Yang,et al. Poster: Photovoltaic Agricultural Internet of Things the Next Generation of Smart Farming , 2019, EWSN.
[46] Suresh Neethirajan,et al. Recent advances in wearable sensors for animal health management , 2017 .
[47] Luca Mottola,et al. Synchronous Transmissions in Low-Power Wireless , 2020, ACM Comput. Surv..
[48] A. Colantoni,et al. Revolution 4.0: Industry vs. Agriculture in a Future Development for SMEs , 2019, Processes.
[49] Chee Yen Leow,et al. An Overview of Internet of Things (IoT) and Data Analytics in Agriculture: Benefits and Challenges , 2018, IEEE Internet of Things Journal.
[50] J. Mellor,et al. The Impact of Growth in Small Commercial Farm Productivity on Rural Poverty Reduction , 2017 .
[51] A. Komarek,et al. A review of types of risks in agriculture: What we know and what we need to know , 2020 .
[52] Cyrill Stachniss,et al. Fully Convolutional Networks With Sequential Information for Robust Crop and Weed Detection in Precision Farming , 2018, IEEE Robotics and Automation Letters.
[53] R. Suman,et al. Industry 4.0 technologies and their applications in fighting COVID-19 pandemic , 2020, Diabetes & Metabolic Syndrome: Clinical Research & Reviews.
[54] Giulio Reina,et al. A Survey of Ranging and Imaging Techniques for Precision Agriculture Phenotyping , 2017, IEEE/ASME Transactions on Mechatronics.
[55] F. Loreto,et al. Opportunities and Limitations of Crop Phenotyping in Southern European Countries , 2019, Front. Plant Sci..
[56] Janusz Kacprzyk,et al. Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture , 2020, Comput. Ind..
[57] Junhu Ruan,et al. Agriculture IoT: Emerging Trends, Cooperation Networks, and Outlook , 2019, IEEE Wireless Communications.
[58] Benjamin Fernandez,et al. A Simplified Optimal Path Following Controller for an Agricultural Skid-Steering Robot , 2019, IEEE Access.
[59] Ali Mansour,et al. Internet-of-Things (IoT)-Based Smart Agriculture: Toward Making the Fields Talk , 2019, IEEE Access.
[60] James Brown,et al. TempLab: A testbed infrastructure to study the impact of temperature on wireless sensor networks , 2014, IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks.
[61] Thilo Steckel,et al. Farming in the Era of Industrie 4.0 , 2018 .
[62] Hyoung Il Son,et al. Unmanned Aerial Vehicles in Agriculture: A Review of Perspective of Platform, Control, and Applications , 2019, IEEE Access.
[63] M. Weiss,et al. Remote sensing for agricultural applications: A meta-review , 2020 .
[64] Min Chen,et al. Analyzing the trend of O2O commerce by bilingual text mining on social media , 2019, Comput. Hum. Behav..
[65] Yasuhiro Hayashi,et al. Machine Learning Approach for Graphical Model-Based Analysis of Energy-Aware Growth Control in Plant Factories , 2019, IEEE Access.
[66] Shintaro Shinjo,et al. A GaN PA for 4G LTE-Advanced and 5G: Meeting the Telecommunication Needs of Various Vertical Sectors Including Automobiles, Robotics, Health Care, Factory Automation, Agriculture, Education, and More , 2017, IEEE Microwave Magazine.
[67] Roland Siegwart,et al. weedNet: Dense Semantic Weed Classification Using Multispectral Images and MAV for Smart Farming , 2017, IEEE Robotics and Automation Letters.
[68] Yi-Bing Lin,et al. AgriTalk: IoT for Precision Soil Farming of Turmeric Cultivation , 2019, IEEE Internet of Things Journal.
[69] Paolo Valigi,et al. Weakly Supervised Fruit Counting for Yield Estimation Using Spatial Consistency , 2019, IEEE Robotics and Automation Letters.
[70] Ranveer Chandra,et al. Towards Low Cost Soil Sensing Using Wi-Fi , 2019, MobiCom.
[71] Kay Römer,et al. Impact of Temperature Variations on the Reliability of LoRa - An Experimental Evaluation , 2018, SENSORNETS.
[72] Madhur Gautam,et al. Too Small to Be Beautiful?: The Farm Size and Productivity Relationship in Bangladesh , 2018, Food Policy.
[73] Pascal Neveu,et al. Dealing with multi‐source and multi‐scale information in plant phenomics: the ontology‐driven Phenotyping Hybrid Information System , 2018, The New phytologist.
[74] A. Reyes Yanes,et al. Towards automated aquaponics: A review on monitoring, IoT, and smart systems , 2020 .
[75] Jan Beutel,et al. Thermoelectric Energy Harvesting From Gradients in the Earth Surface , 2020, IEEE Transactions on Industrial Electronics.
[76] Hyeon Park,et al. Smart Livestock Farms Using Digital Twin: Feasibility Study , 2018, 2018 International Conference on Information and Communication Technology Convergence (ICTC).
[77] Pedro Ponce,et al. Sensing, smart and sustainable technologies for Agri-Food 4.0 , 2019, Comput. Ind..
[78] Charlie C. L. Wang,et al. Plant Phenotyping by Deep-Learning-Based Planner for Multi-Robots , 2019, IEEE Robotics and Automation Letters.
[79] T. Pridmore,et al. Plant Phenomics, From Sensors to Knowledge , 2017, Current Biology.
[80] B. Sturm,et al. Implementation of machine vision for detecting behaviour of cattle and pigs , 2017 .
[81] Debashis De,et al. Internet of Things (IoT) for Smart Precision Agriculture and Farming in Rural Areas , 2018, IEEE Internet of Things Journal.
[82] Hongyi Xu,et al. Social commerce: A systematic review and data synthesis , 2018, Electron. Commer. Res. Appl..
[83] Francisco Rovira-Más,et al. From Smart Farming towards Agriculture 5.0: A Review on Crop Data Management , 2020, Agronomy.
[84] Giuseppe Aceto,et al. A Survey on Information and Communication Technologies for Industry 4.0: State-of-the-Art, Taxonomies, Perspectives, and Challenges , 2019, IEEE Communications Surveys & Tutorials.
[85] Joris IJsselmuiden,et al. Robot navigation in orchards with localization based on Particle filter and Kalman filter , 2019, Comput. Electron. Agric..
[86] Khaled Salah,et al. Blockchain-Based Soybean Traceability in Agricultural Supply Chain , 2019, IEEE Access.
[87] Victoria Beltran,et al. Decision support systems for agriculture 4.0: Survey and challenges , 2020, Comput. Electron. Agric..
[88] Gagandeep Kaur,et al. Scalability in Blockchain: Challenges and Solutions , 2020, Handbook of Research on Blockchain Technology.
[89] Amy Yau,et al. A comparison of social media marketing between B2B, B2C and mixed business models , 2018, Industrial Marketing Management.
[90] Kamran Abid,et al. A Survey on the Role of IoT in Agriculture for the Implementation of Smart Farming , 2019, IEEE Access.
[91] Ercan Öztemel,et al. Literature review of Industry 4.0 and related technologies , 2018, J. Intell. Manuf..
[92] David Mohaisen,et al. Exploring the Attack Surface of Blockchain: A Comprehensive Survey , 2020, IEEE Communications Surveys & Tutorials.
[93] I. Husti,et al. The role of digitalization in the agricultural 4.0 – how to connect the industry 4.0 to agriculture? , 2018 .
[94] Yang Lu,et al. Industry 4.0: A survey on technologies, applications and open research issues , 2017, J. Ind. Inf. Integr..
[95] Debashis Ghosh,et al. Energy efficient mobile vision system for plant leaf disease identification , 2014, 2014 IEEE Wireless Communications and Networking Conference (WCNC).
[96] Li Da Xu,et al. Industry 4.0: state of the art and future trends , 2018, Int. J. Prod. Res..