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Chapter 1. A neural network-based approach for pest detection and control in modern agriculture using Internet of things -- Chapter 2. Automated fruit grading system using image fusion -- Chapter 3. Fog computing as solution for IoT-based agricultural applications -- Chapter 4. Green cloud -- Chapter 5. Internet of things: a conceptual visualisation -- Chapter 6. Internet of things and the role of wireless sensor networks in IoT -- Chapter 7. IoT-based agri-safety model: mechanised agricultural fencing -- Chapter 8. Plant diseases concept in smart agriculture using deep learning -- Chapter 9. Smart agriculture and farming services using IoT -- Chapter 10. Smart agriculture services using deep learning, big data, and IoT (Internet of things) -- Chapter 11. An analysis of big data analytics -- Chapter 12. Towards intelligent agriculture using smart IoT sensors.
Рубрики:
Agricultural informatics
Artificial intelligence -- Agricultural applications
Internet of things
Machine learning
Big data
Agricultural informatics
Artificial intelligence -- Agricultural applications
Big data
Internet of things
Machine learning
Аннотация: This book explores the application of deep learning, big data, IoT in agricultural services.
Доп. точки доступа:
Gupta, A.\editor.\
Держатели документа:
Полнотекстовая коллекция книг EBSCO eBooks (Шифр в БД-источнике (EBSKO): on1152479163)
Шифр в сводном ЭК: ec8bee18f4445875265083ac7f3b0876
Design and implementation of a scalable parallel direct solver for sparse symmetric positive definite systems: preliminary results / A. Gupta, F. Gustavson, M. Joshi, G. Karypis, 1998. - 8 p. - Текст : непосредственный.[Reports] / Amer.inst.of aeronautics and astronautics. N 89-2890 : experimental study of the variations in cyclic energy release rate in a spark ignition engine : Rep. presented at the AIAA/ASME/SAE/ASEE 25th joint propulsion conf.,Monterey(Ca),July 10-12,1989 / S.Beshai,O.Deniz,J.Chomiak,A.Gupta, 1989. - 8 p. - Текст : непосредственный.
Lecture notes in computer science / ed. G. Goos [et al.]. 7408 : Approximation, randomization, and combinatorial optimization: algorithms and techniques : 15th intern. workshop, APPROX 2012, and 16th intern. workshop, RANDOM 2012, Cambridge, Ma, USA, Aug. 15-17, 2012: proc. / International workshop on approximation algorithms for combinatorial optimization problems (15; 2012; Cambridge, Ma); International workshop on randomization and computation (16; 2012; Cambridge, Ma), 2012. - XV, 674 p. - Текст : непосредственный.Kabe D.G. Experimental designs: exercises and solutions / D. G. Kabe, A. K. Gupta, 2007 r=on-line. - Текст : электронный.Working paper / Intern. monetary fund. WP/07/184 : Determinants of tax revenue efforts in developing countries / A. S. Gupta, 2007. - 39 p. - Текст : непосредственный.Gupta A.K. Probability and statistical models : foundations for problems in reliability and financial mathematics / A. K. Gupta, W. Zeng, Y. Wu, 2010 r=on-line. - Текст : электронный.Computer aided verification : 20th International conference, CAV 2008 Princeton, NJ, USA, July 7-14, 2008: proceedings / ed.: A. Gupta, S. Malik, 2008 r=on-line. - Текст : электронный.Gupta A. Parallel algorithms for forward elimination and backward substitution in direct solution of sparse linear systems / A.Gupta,V.Kumar, 1996. - 19 p. - Текст : непосредственный.Ultimate load capacity assessment of reinforced concrete shell structures / A.Gupta,R.K.Singh,H.S.Kushwaha и др., 1993. - 39 p. - Текст : непосредственный.[Reports] / Amer.inst.of aeronautics and astronautics. N 90-2449 : Effect of piston geometry on cyclic variation of heat release rate in an IC engine : Rep. presented at the AIAA/SAE/ASME/ASEE 26th joint propulsion conf., July 16-18, 1990, Orlando(Fl) / S. W.Beshai, O.Deniz, A. K.Gupta, J.Chomiak, 1990. - 7 p. - Текст : непосредственный.[Reports] / Amer.inst.of aeronautics and astronautics. N 88-3139 : Dynamics of pressure-jet and airassist nozzle sprays: aerodynamic effects : Rep. presented at the AIAA/ASME/SAE/ASEE 24th joint propulsion conf., Jul. 11-13, 1988, Boston(Ma) / C.Presser, H. G.Semerjian, A. K.Gupta, 1988. - 13 p. - Текст : непосредственный.Parallel algorithm scalability issues in petaflops architectures / A.Grama,A.Gupta,E-H.Han,V.Kumar, 2000. - 22 p. - Текст : непосредственный.
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Big data analytics for satellite image processing and remote sensing / P. Swarnalatha and Prabu Sevugan, editors., [2018]. - XIX, 253 p. - Текст : электронный.Innovations and trends in environmental and agricultural informatics / Petraq Papajorgji and Francois Pinet, editors, 2018. - XVIII, 317 p. - Текст : электронный.Smart farming technologies for sustainable agricultural development / R. C. Poonia, X.-Zh. Gao, L. Raja [et al.], 2018. - XXII, 308 p. - Текст : электронный.Strasser, Bruno J. Collecting experiments : making big data biology / Bruno J. Strasser, 2019. - XV, 404 p. - Текст : электронный.Moridpour, Sara. Big data analytics in traffic and transportation engineering : emerging research and opportunities / Sara Moridpour, Alireza Toran Pour, Saghapour Tayebeh, 2019. - IX, 188 p. (Введено оглавление). - Текст : электронный.Spatial planning in the big data revolution / IGI Global, 2019. - XXXIV, 359 p. (Введено оглавление). - Текст : электронный.Environmental and agricultural informatics : concepts, methodologies, tools, and applications / [edited by] Information Resources Management Association., [2020]. - 69 с. (Введено оглавление). - Текст : электронный.Deep learning applications and intelligent decision making in engineering / Karthikrajan Senthilnathan, Balamurugan Shanmugam, Dinesh Goyal, Iyswarya Annapoorani and Ravi Samikannu, editors., [2021]. - 24 с. - Текст : электронный.Smart agricultural services using deep learning, big data, and IoT / Amit Kumar Gupta, Dinesh Goyal, Vijendra Singh, Harish Sharma., [2021]. - 12 с. (Введено оглавление). - Текст : электронный.Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture, 2021. - 13 с. - Текст : электронный.Principles and applications of narrowband internet of things (NBIoT) / Sudhir K. Routray, Sasmita Mohanty [editors]., 2021. - 14 с. - Текст : электронный.Péceli Gábor. Measurement and Data Science / Gábor. Péceli, 2021. - 5 p). - Текст : электронный.Implementing data analytics and architectures for next generation wireless communications / Chintan Bhatt, Neeraj Kumar, Ali Kashif Bashir, Mamoun Alazab., [2022]. - 7 с. (Введено оглавление). - Текст : электронный.5G internet of things and changing standards for computing and electronic systems / Augustine O. Nwajana [editor]., [2022]. - 10 с. (Введено оглавление). - Текст : электронный.Early detection of neurological disorders using machine learning systems / Sudip Paul, Pallab Bhattacharya, and Arindam Bit, editors., 2019. - 15 с. (Введено оглавление). - Текст : электронный.Deep learning applications in medical imaging / [edited by] Sanjay Saxena, Sudip Paul., [2021]. - 17 с. (Введено оглавление). - Текст : электронный.AI innovation in medical imaging diagnostics / Kalaivani Anbarasan, editor., [2020]. - 15 с. (Введено оглавление). - Текст : электронный.Lu Zhongyu Machine learning in cancer research with applications in colon cancer and big data analysis / Zhongyu Joan Lu and Qiang Xu, Murad Al-Rajab, Lamogha Chiazor. - 19 с. (Введено оглавление). - Текст : электронный.Handbook of research on essential information approaches to aiding global health in the one health context / Jorge Lima de Magalhães, Zulmira Hartz, George Leal Jamil, Henrique Silveira, C. Liliane Jamil., [2022]. - 10 с. (Введено оглавление). - Текст : электронный.Moein Sara Electrocardiogram signal classification and machine learning : emerging research and opportunities / by Sara Moein., [2018]. - 14 с. (Введено оглавление). - Текст : электронный.
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