SMART AGRICULTURE: A REVIEW
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[1] Gurjeet Singh. Machine Learning Models in Stock Market Prediction , 2022, International Journal of Innovative Technology and Exploring Engineering.
[2] Lihui Wang,et al. Industry 4.0 and Industry 5.0—Inception, conception and perception , 2021, Journal of Manufacturing Systems.
[3] Praveen Kumar Reddy Maddikunta,et al. Industry 5.0: A survey on enabling technologies and potential applications , 2021, J. Ind. Inf. Integr..
[4] Tasos Dagiuklas,et al. Survey for smart farming technologies: Challenges and issues , 2021, Comput. Electr. Eng..
[5] Ioannis N. Athanasiadis,et al. Introducing digital twins to agriculture , 2021, Comput. Electron. Agric..
[6] Bedir Tekinerdogan,et al. Digital twins in smart farming , 2021, Agricultural Systems.
[7] E. Mayo-Wilson,et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews , 2021, BMJ.
[8] Hakil Kim,et al. A critical review on computer vision and artificial intelligence in food industry , 2020, Journal of Agriculture and Food Research.
[9] A. Ruiz-Canales,et al. A cyber-physical intelligent agent for irrigation scheduling in horticultural crops , 2020, Comput. Electron. Agric..
[10] Jan Beutel,et al. Thermoelectric Energy Harvesting From Gradients in the Earth Surface , 2020, IEEE Transactions on Industrial Electronics.
[11] A. Reyes Yanes,et al. Towards automated aquaponics: A review on monitoring, IoT, and smart systems , 2020 .
[12] Angappa Gunasekaran,et al. A systematic literature review on machine learning applications for sustainable agriculture supply chain performance , 2020, Comput. Oper. Res..
[13] Mehmet N. Aydin,et al. Semantic and Syntactic Interoperability for Agricultural Open-Data Platforms in the Context of IoT Using Crop-Specific Trait Ontologies , 2020, Applied Sciences.
[14] W. N. Chen,et al. Technology innovations for food security in Singapore: A case study of future food systems for an increasingly natural resource-scarce world , 2020, Trends in Food Science & Technology.
[15] Janusz Kacprzyk,et al. Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture , 2020, Comput. Ind..
[16] Jason Yon,et al. Characterising the Digital Twin: A systematic literature review , 2020, CIRP Journal of Manufacturing Science and Technology.
[17] Roemi Fernández,et al. Unmanned Ground Vehicles for Smart Farms , 2020, Agronomy - Climate Change and Food Security.
[18] Luca Mottola,et al. Synchronous Transmissions in Low-Power Wireless , 2020, ACM Comput. Surv..
[19] Kamran Abid,et al. A Survey on the Role of IoT in Agriculture for the Implementation of Smart Farming , 2019, IEEE Access.
[20] Paolo Barsocchi,et al. The Digitisation of Agriculture: a Survey of Research Activities on Smart Farming , 2019, Array.
[21] Santanu Phadikar,et al. State-of-the-art technologies in precision agriculture: a systematic review. , 2019, Journal of the science of food and agriculture.
[22] 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.
[23] Vinoth Babu Kumaravelu,et al. Scalable and sustainable wireless sensor networks for agricultural application of Internet of things using fuzzy c-means algorithm , 2019, Sustain. Comput. Informatics Syst..
[24] Pedro Ponce,et al. Sensing, smart and sustainable technologies for Agri-Food 4.0 , 2019, Comput. Ind..
[25] Eugenio Cavallo,et al. The Effects of Individual Variables, Farming System Characteristics and Perceived Barriers on Actual Use of Smart Farming Technologies: Evidence from the Piedmont Region, Northwestern Italy , 2019, Agriculture.
[26] Xia Sun,et al. State-of-the-Art Internet of Things in Protected Agriculture , 2019, Sensors.
[27] Shwetak N. Patel,et al. FarmChat: A Conversational Agent to Answer Farmer Queries , 2018, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..
[28] 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.
[29] Fadel Adib,et al. Networking across boundaries: enabling wireless communication through the water-air interface , 2018, SIGCOMM.
[30] Andreas Kamilaris,et al. Deep learning in agriculture: A survey , 2018, Comput. Electron. Agric..
[31] Thomas Bartzanas,et al. Internet of Things in agriculture, recent advances and future challenges , 2017 .
[32] Jing Wang,et al. An improved traceability system for food quality assurance and evaluation based on fuzzy classification and neural network , 2017 .
[33] Elena Simona Lohan,et al. Robustness, Security and Privacy in Location-Based Services for Future IoT: A Survey , 2017, IEEE Access.
[34] Mudassar Adeel Ahmed,et al. Systematic Literature Review: Ingenious Software Project Management while narrowing the impact aspect , 2016, RACS.
[35] Jon Atli Benediktsson,et al. Big Data for Remote Sensing: Challenges and Opportunities , 2016, Proceedings of the IEEE.
[36] Avital Bechar,et al. Agricultural robots for field operations: Concepts and components , 2016 .
[37] Weisong Shi,et al. Edge Computing: Vision and Challenges , 2016, IEEE Internet of Things Journal.
[38] Eugenio Culurciello,et al. An Analysis of Deep Neural Network Models for Practical Applications , 2016, ArXiv.
[39] Ashutosh Nayak,et al. Resource sharing in cyber-physical systems: modelling framework and case studies , 2016 .
[40] Leila Azouz Saidane,et al. Context Aware Wireless Sensor Network Suitable for Precision Agriculture , 2016 .
[41] Lihui Wang,et al. Current status and advancement of cyber-physical systems in manufacturing , 2015 .
[42] Muhammad Irfan,et al. A Review Study of Wireless Sensor Networks and Its Security , 2015 .
[43] Fabio Terribile,et al. A Web-based spatial decision supporting system for land management and soil conservation , 2015 .
[44] Spyros Fountas,et al. Farm management information systems: Current situation and future perspectives , 2015, Comput. Electron. Agric..
[45] Jürgen Schmidhuber,et al. Deep learning in neural networks: An overview , 2014, Neural Networks.
[46] P. Nagar,et al. A Case Study on Nutek India Limited, regarding Deep Fall in Share Price , 2012, 2203.12657.
[47] P. Mell,et al. The NIST Definition of Cloud Computing , 2011 .
[48] P. Cochat,et al. Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.
[49] Pablo Martinez,et al. An ontology model to support the automated design of aquaponic grow beds , 2021 .
[50] Mohamed Cheriet,et al. Parallel Route Optimization and Service Assurance in Energy-Efficient Software-Defined Industrial IoT Networks , 2021, IEEE Access.
[51] Joel J. P. C. Rodrigues,et al. Cyber-physical systems architectures for industrial internet of things applications in Industry 4.0: A literature review , 2021 .
[52] Fernando Gonçalves Amaral,et al. An overview of agriculture 4.0 development: Systematic review of descriptions, technologies, barriers, advantages, and disadvantages , 2021, Comput. Electron. Agric..
[53] Dharam J. Shah,et al. Implementation of artificial intelligence in agriculture for optimisation of irrigation and application of pesticides and herbicides , 2020, Artificial Intelligence in Agriculture.
[54] Sakshi Arora,et al. Recent Developments of the Internet of Things in Agriculture: A Survey , 2020, IEEE Access.
[55] A. Selmani,et al. Agricultural cyber-physical system enabled for remote management of solar-powered precision irrigation , 2019, Biosystems Engineering.
[56] T. Alwada'n. CLOUD COMPUTING AND MULTI-AGENT SYSTEM : MONITORING AND SERVICES , 2018 .
[57] Z. Irani,et al. Critical analysis of Big Data challenges and analytical methods , 2017 .
[58] Gerald Reiner,et al. A Review of Decision Support Systems for Manufacturing Systems , 2016, SAMI@iKNOW.
[59] Leisa Armstrong,et al. Decision Support System Data for Farmer Decision Making , 2014 .
[60] Wenting Han,et al. A survey on wireless sensor network infrastructure for agriculture , 2013, Comput. Stand. Interfaces.
[61] Yash R. Dave,et al. Quadcopter for Agricultural Surveillance , 2013 .
[62] Noman Islam,et al. An integrated framework to develop context-aware sensor grid for agriculture. , 2010 .
[63] Food Security. Agriculture Organization of the United Nations (FAO) , 2004 .
[64] R. Dhanalakshmi,et al. Recent advancements and challenges of Internet of Things in smart agriculture: A survey , 2022, Future Gener. Comput. Syst..