An Integrative Decision Support Model for Smart Agriculture Based on Internet of Things and Machine Learning
DOI:
https://doi.org/10.54060/JIEEE/002.02.007Keywords:
Internet of Things, Machine Learning, Smart AgricultureAbstract
The Internet of Things (IoT) has achieved an upset in a considerable lot of the circles of our current lives, like automobile, medical services offices, home automation, retail, ed-ucation, manufacturing, and many more. The Agriculture and Farming ventures signifi-cantly affect the acquaintance of the IoT with the world. Machine learning (ML) is a part of artificial intelligence (AI) that permits software applications to turn out to be more precise at foreseeing results without being expressly customized to do as such. It uses historical data as input to predict new result values. In the event, a specific industry has sufficient recorded information to help the machine "learn", AI or ML can create out-standing outcomes. Farming is likewise one such important industry profiting and ad-vancing from machine learning at large. ML can possibly add to the total lifecycle of farming, at all phases. This incorporates computer vision, automated irrigation, and harvesting, predicting the soil, weather, temperature, moisture values, and robots for picking off the crude harvest. In this paper, I'll work on a smart agricultural information monitoring framework that gathers the necessary information from the IoT sensors set in the field, measures it, and drives it, from where it streams to store in the cloud space. The information is then shipped off the prediction module where the necessary analysis is done using ML algorithms and afterward sent to the UI for its corresponding applica-tion.
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H. Sahu, P. Modala, A. Jiwankar, et al. “Multidisciplinary model for Smart Agriculture Using IOT”, International Journal of Research in Engineering, Science and Management, vol. 2, no.3, pp.245-247, March 2019.
M. Ayaz, M. A.Uddin, Z. Sharif, et al., “Internet-of-things (IoT)-based smart agriculture: Toward making the fields talk,” IEEE Access, vol. 7, pp. 129551–129583, Aug 2019.
Ç. Ersin, R. Gürbüz, A.K. Yakut, Application of an automatic plant irrigation system based arduino microcontroller using solar energy, in: Solid State Phenom., 2016.
H. V. Abhijith, D. A. Jain, and U. A. Athreya Rao, “Intelligent agriculture mechanism using internet of things,” in International Conference on Advances in Computing, Communications, and Informatics (ICACCI), Sep 2017.
Y. Zhang, "The role of precision agriculture." Resource Magazine vol.26, no.6, pp. 9-9, 2019.
M. Pachayappan, C. Ganesh kumar, and N. Sugundan, “Technological implication and its impact in agricultural sector: An IoT Based Collaboration framework,” Procedia Comput. Sci., vol. 171, pp. 1166–1173, 2020.
D. R. Girinath, G.Lavanya, S. Monika, et al.,psychosocial.com. https://www.psychosocial.com/article/PR2020795/31655 Feb 2021.
J. Kwok and Y. Sun, “A smart IoT-based irrigation system with automated plant recognition using deep learning,” in Proceedings of the 10th International Conference on Computer Modeling and Simulation, pp.87-91, Jan 2018.
A. Vij, S. Vijendra, A. Jain, et al., “IoT and machine learning approaches for automation of farm irrigation system,” Procedia Comput. Sci., vol. 167, pp. 1250–1257, 2020.
Data retrieved,https://www.kaggle.com/anjali21/indian-production-analysis-and-prediction
A. Chalimav, “Iot in Agriculture: 5 Technology Use Cases for Smart Farming,”
S. Mishra, D. Mishra, and G. H. Santra, “Applications of machine learning techniques in agricultural crop production: A review paper,” Indian J. Sci. Technol., vol. 9, no. 38, Oct 2016.
A. Mancini, E. Frontoni, and P. Zingaretti, “Challenges of multi/hyper spectral images in precision agriculture applications,” IOP Conf. Ser. Earth Environ. Sci., vol. 275, no. 1, p. 012001, 2019.
S. Wolfert, L. Ge, C. Verdouw, and M.-J. Bogaardt, “Big Data in Smart Farming – A review,” Agric. Syst., vol. 153, pp. 69–80, 2017.
A. D. Tuncer, A. Khanlari, A. Sözen, et al., “Energy-exergy and enviro-economic survey of solar air heaters with various air channel modifications,” Renew. Energy, vol. 160, pp. 67–85, 2020.
T. Zhang, Y. Yao, J. Wang, et al., “Haploinsufficiency of Klippel-Trenaunay syndrome gene Aggf1 inhibits developmental and pathological angiogenesis by inactivating PI3K and AKT and disrupts vascular integrity by activating VE-cadherin,” Hum. Mol. Genet., vol. 25, no. 23, pp. 5094–5110, Aug 2016.
X. Wang, and L. Nannan, "The application of internet of things in agricultural means of production supply chain management." Journal of Chemical and Pharmaceutical Research, vol.6, no.7, pp.2304-2310, 2014.
S. K. Dash, S. Mohapatra, P. K. Pattnaik,” A Survey on Applications of Wireless Sensor Network Using Cloud Computing,” vol.1, no.4, pp.50-55, 2017.
S. S. Sarmila, S. R. Ishwrya, N. B. Harshini, et al. "Smart farming: sensing technologies." International Conference on Computing Methodologies and Communication. 2018.
A. Atole, A. Asmar, A. Biradar, et al.,” IoT Based Smart Farming System,” vol.4, no.4, pp.29-31, April 2017.
P.P Ray, “Internet of Things for smart agriculture: technologies, practices and future road map,” Journal of Ambient Intelligence and Smart Environments, vol.9, pp.395–420,2017.
M. Ryu, J. Yun, T. Miao, et al., “Design and implementation of a connected farm for smart farming system,” in IEEE SENSORS, Nov 2015.
B. Khan, & P. Singh, “Selecting a meta-heuristic technique for smart micro-grid optimization problem,” A comprehensive analysis. IEEE Access, vol.5, 13951-13977, July 2017.
T. Molla, B. Khan, & P. Singh,” A comprehensive analysis of smart home energy management system optimization techniques,” Journal of Autonomous Intelligence, vol.1, no.1, pp. 15-21, 2018.
Z. Bashir and M. E. El-Hawary, “Short term load forecasting by using wavelet neural networks,” in 2000 Canadian Conference on Electrical and Computer Engineering. Conference Proceedings. Navigating to a New Era, vol. 1, pp. 163-166, IEEE May 2000.
M. Vinny, and P. Singh,” Review on the Artificial Brain Technology: BlueBrain,” Journal of Informatics Electrical and Electronics Engineering, vol.1, no.1, pp.1-11,2019.
M. Misra, and P. Singh,” Energy Optimization for Smart Housing Systems,” Journal of Informatics Electrical and Electronics Engineering, vol.1, no.1, pp.1-6, 2020.
N. Srivastava, U. Kumar, and P. Singh, “Software and Performance Testing Tools. Journal of Informatics Electrical and Electronics Engineering, vol.2, no.1, pp. 1-12, 2021.
A. Singh and P. Singh,” A Comprehensive Survey on Machine Learning.,” Journal of Management and Service Science, vol.1, no.1, pp. 1-17,2021.
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