Smart agriculture utility the use of fog-iot
Abstract
Expanded agricultural activity is supposed to be of vital importance as wise agriculture or precision agriculture. IoT-primarily based farm management answers have emerged due to the fast upward push of networking. elevated agricultural interest is meant to be of essential importance as shrewd agriculture or precision agriculture. The bandwidth and the data repository are an excessive amount of for an antique cloud-based system that largely employs IoT gadgets. decreased latency, higher battery life for IoT systems, loads more green coins information acquisition, accessibility to highbrow capital, and AI, ML IoT-edge fashion platforms are recommended or can be used. while against the use of the cloud to process and keep statistics, the edge for the IoT provides prospective present days for diverse IoT installations, as well as the removal of c program language period in a mixture with geometrical verbal exchange potency. several IoT procedures, for example, will also have an excessive level of technology at the edge, resulting in minimum latency and quick processing. The modern-day cloud-based totally systems, which can be built on traditional cloud principles, can't manage the massive quantities and extraordinary information produced with the aid of linked IoT devices. To facilitate real-time decision-making primarily based on the information accrued, it's miles important to move facts processing toward the roots in their production. this could be solved by using the usage of fog-based total fashions, so one can be addressed this bankruptcy.
References
Toulmin, Stephen, 1958, The Uses of Arguments, Cambridge: Cambridge University Press.
Turner, Raymond and Nicola Angius, 2006, “The Philosophy of Computer Science”, in The Stanford Encyclopedia of Philosophy (Spring 2006 edition),
Van Fraassen, Bas C., 2008, Scientific Representation: Paradoxes of Perspective, Oxford: Oxford University Press. doi:10.1093/acprof:oso/9780199278220.001.0001
Waters, C. Kenneth, 2007, “The Nature and Context of Exploratory Experimentation: An Introduction to Three Case Studies of Exploratory Research”, History and Philosophy of the Life Sciences, 29(3): 275–284.
Toulmin, Stephen, 1958, The Uses of Arguments, Cambridge: Cambridge University Press.
Turner, Raymond and Nicola Angius, 2006, “The Philosophy of Computer Science”, in The Stanford Encyclopedia of Philosophy (Spring 2006 edition),
Van Fraassen, Bas C., 2008, Scientific Representation: Paradoxes of Perspective, Oxford: Oxford University Press. doi:10.1093/acprof:oso/9780199278220.001.0001
Waters, C. Kenneth, 2007, “The Nature and Context of Exploratory Experimentation: An Introduction to Three Case Studies of Exploratory Research”, History and Philosophy of the Life Sciences, 29(3): 275–284.
Singu, S., & Tunguturi, M. (2015). Fundamentals and awareness of robotics. Transactions on Latest Trends in Health Sector, 7(7). Retrieved from https://www.ijsdcs.com/index.php/TLHS/article/view/191
Tunguturi, M. (2017). Extremely Low strength design for Water Purification. Transactions on Latest Trends in Health Sector, 9(9). Retrieved from https://www.ijsdcs.com/index.php/TLHS/article/view/190
Tunguturi, M., & Singu, S. (2012). The growth of Bigdata in Information Technology. Transactions on Latest Trends in Health Sector, 4(4). Retrieved from https://www.ijsdcs.com/index.php/TLHS/article/view/189
Tunguturi, M. (2010). Artificial intelligence and machine learning in the enterprise. Transactions on Latest Trends in Health Sector, 2(2). Retrieved from https://www.ijsdcs.com/index.php/TLHS/article/view/187
Tunguturi, M. (2022). Moment Localization Using Multi-Scale 2D Temporal Adjacent Networks and Natural Language. International Journal of Machine Learning for Sustainable Development, 4(3), 1-10. Retrieved from https://www.ijsdcs.com/index.php/IJMLSD/article/view/115
Tunguturi, M. (2022). AI Analysis for Tic-Tac- Toe Game. Transactions on Latest Trends in Artificial Intelligence, 3(3). Retrieved from https://www.ijsdcs.com/index.php/TLAI/article/view/93
Tunguturi, M. (2018). Avoid Road Accident Using IoT. Transactions on Latest Trends in IoT, 1(1), 31-40. Retrieved from https://www.ijsdcs.com/index.php/TLIoT/article/view/167
Singu, S. (2021). Network based Weaknesses & Countermeasures. International Journal of Sustainable Development in Computing Science, 3(3), 47-52. Retrieved from https://www.ijsdcs.com/index.php/ijsdcs/article/view/179
Singu, S. (2021). Comparative Analysis of Artificial Neural Networks. International Journal of Machine Learning for Sustainable Development, 3(4). Retrieved from https://www.ijsdcs.com/index.php/IJMLSD/article/view/192
Singu, S. (2018). Blockchain based answer for comfortable Audit logs. Transactions on Latest Trends in IoT, 1(1), 21-30. Retrieved from https://www.ijsdcs.com/index.php/TLIoT/article/view/166
Tunguturi, M., & Singu, S. (2016). Automation of human behaviors and its prediction . International Journal of Statistical Computation and Simulation, 8(1). Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/53
Singu, S., & Tunguturi, M. (2014). More on Neural community and fuzzy device. International Journal of Statistical Computation and Simulation, 6(1), 1–10. Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/50
Singu, S., & Tunguturi, M. (2013). Fundamental standards and uses of big data analytics. International Journal of Statistical Computation and Simulation, 5(1). Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/47
Tunguturi, M. (2018). American & Indian Comics on Instagram using Machine learning. International Journal of Statistical Computation and Simulation, 10(1). Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/60
Tunguturi, M. (2011). More on Big data to the world. International Journal of Statistical Computation and Simulation, 3(1), 1–10. Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/45
Tunguturi, M. (2009). More On Principles and Applications of Big Data Analytics. International Journal of Statistical Computation and Simulation, 1(1), 1–10. Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/43
Tunguturi, M. (2021). Dark Web Researchers Directory Services. Transaction on Recent Devlopment in Industrial IoT, 13(13). Retrieved from https://journals.threws.com/index.php/TRDAIoT/article/view/65
Tunguturi, M., & Singu, S. (2015). Latest machine learning applications across the globe. Transaction on Recent Devlopment in Industrial IoT, 7(7). Retrieved from https://journals.threws.com/index.php/TRDAIoT/article/view/64
Tunguturi, M., & Singu, S. (2014). Latest machine learning applications across the globe. Transaction on Recent Devlopment in Industrial IoT, 6(6). Retrieved from https://journals.threws.com/index.php/TRDAIoT/article/view/63
Singu, S., & Tunguturi, M. (2016). Smart agriculture utility the use of fog-iot. Transaction on Recent Devlopment in Artificial Intellgence and Machine Learning, 8(8). Retrieved from https://journals.threws.com/index.php/TRDAIML/article/view/67
Singu, S. (2019). A new method on provider Description support Customization . Transaction on Recent Devlopment in Artificial Intellgence and Machine Learning, 11(11). Retrieved from https://journals.threws.com/index.php/TRDAIML/article/view/68
Tunguturi, M. (2021). More on Artificial Intelligence in COVID-19. International Journal of Sustainable Devlopment in Field of IT, 13(13). Retrieved from https://journals.threws.com/index.php/IT/article/view/69
Singu, S. (2022). An IOT based Home Automation System (HAS). International Journal of Machine Learning for Sustainable Development, 4(2), 11-20. Retrieved from https://www.ijsdcs.com/index.php/IJMLSD/article/view/95
Tunguturi, M. (2019). Comparative Analysis of Balancing Techniques in Cloud Computing. International Journal of Managment Education for Sustainable Development, 2(2), 41-50. Retrieved from https://www.ijsdcs.com/index.php/IJMESD/article/view/171
Singu, S. (2019). Trends of Text Mining Techniques used in Social Media Websites. International Journal of Managment Education for Sustainable Development, 2(2), 51-60. Retrieved from https://www.ijsdcs.com/index.php/IJMESD/article/view/172
Singu, S. (2017). A robust technique for image processing. Transactions on Latest Trends in Health Sector, 9(9). Retrieved from https://www.ijsdcs.com/index.php/TLHS/article/view/193
Singu, S. (2021). Novel HealthCare Framework for Cardiac Arrest. International Journal of Sustainable Devlopment in Field of IT, 13(13). Retrieved from https://journals.threws.com/index.php/IT/article/view/71
Singu, S. (2021). Business Intelligence on the Quality of Decision Making. International Journal of Statistical Computation and Simulation, 13(1). Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/24
Singu, S. (2022). Analysis Of Mental Health During COVID-19 Pandemic. International Journal of Sustainable Development in Computing Science, 4(3), 41-50. Retrieved from https://www.ijsdcs.com/index.php/ijsdcs/article/view/101
Singu, S. (2022). Web Based Automated Online Examination System. Transactions on Latest Trends in Artificial Intelligence, 3(3). Retrieved from https://www.ijsdcs.com/index.php/TLAI/article/view/91
Singu, S., & Tunguturi, M. (2017). Protect Personal Privacy And Wasting Time Using AI and ML. Transaction on Recent Devlopment in Artificial Intellgence and Machine Learning, 9(9). Retrieved from https://journals.threws.com/index.php/TRDAIML/article/view/72
Tunguturi, M. (2020). Children and the coronavirus disease 2019 pandemic. Transactions on Latest Trends in IoT, 3(3), 11-22. Retrieved from https://www.ijsdcs.com/index.php/TLIoT/article/view/133
Singu, S. (2020). A structural approach to tracking the spread of the SARS-CoV-2 pandemic in educational settings. Transactions on Latest Trends in IoT, 3(3), 23-32. Retrieved from https://www.ijsdcs.com/index.php/TLIoT/article/view/134
Singu, S. (2020). Socially distant smart gadget for COVID-19. Transactions on Latest Trends in Health Sector, 12(12). Retrieved from https://www.ijsdcs.com/index.php/TLHS/article/view/194
Mahesh Tunguturi, & Samrajyam Singu. (2022). AFFECTATION INDEX AND SEVERITY DEGREE BY COVID-19 IN CHEST X-RAY IMAGES USING ARTIFICIAL INTELLIGENCE. International Journal of Innovations in Engineering Research and Technology, 9(9), 37–46. Retrieved from https://repo.ijiert.org/index.php/ijiert/article/view/3460
Samrajyam Singu and Mahesh Tunguturi, “LUNG CANCER DIAGNOSIS USING MACHINE LEARNING”, IEJRD - International Multidisciplinary Journal, vol. 6, no. 2, p. 15, Mar. 2021.