A Review of Big Data in Smart Farming

Ranjeev Kumar Chopra

doi:10.55524/

Authors

Ranjeev Kumar Chopra Assistant Professor, Department of Computer Applications, RIMT University, Mandi Gobindgarh, Punjab, India Author

DOI:

https://doi.org/10.55524/

Keywords:

Agriculture, Big Data, Machines, Smart Farming

Abstract

Intelligent agro is now a growing concept that accentuates employment of ICT inside cyber-physical farmland managerial chain. The said growth is projected to be accelerated by newer advancements such as the Internet of Thing (IoT) & Mobile computing, which will enable ranchers to deploy increased machines with machine intelligence. All of that is represented by the Data Analysis phenomenon that alludes to massive volumes of data of different forms that may be gathered, processed, and used to make decisions. One purpose of current research is to get a better knowledge of the present state of Big Data processing in Precision Agriculture and even to uncover underlying accompanying psychosocial challenges that need to be addressed. A systematic technique has been used to construct a philosophical paradigm for assessment, which is often used in subsequent study on the issue. With regards to basic productivity, our research found that Data Analysis implementations in Agriculture 5.0 have an influence on this kind of agriculture distribution network. In farming activities, information systems is increasingly getting used to provide actionable analytics, dictate genuine logistical decisions, and reimagine workflows in way to build game-changing marketing strategies. As a consequence, many authors anticipate that Big Data will cause substantial alterations in the responsibilities & economic dynamics between different parties in current food distribution system ecosystems. The partner panorama exhibits a fascinating interaction involving giant virtual enterprises, venturing capitalists, &, on occasion, little entrepreneurs as well as entrants. Most municipal institutions, make accessible data available on the provision provided customers' confidentiality be respected. From a sociological aspect, the authors suggest concentrating research on management policies including such accountability and acceptable business strategies for information exchange in diverse distribution network settings.

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References

Wolfert S, Ge L, Verdouw C, Bogaardt MJ. Big Data in Smart Farming – A review. Agricultural Systems. 2017.

Kumar AS, Kumar DS, N MCR| SK. Impacts of Big Data on Smart Farming. Int J Trend Sci Res Dev. 2018;

Hirawat A, Taterh S, Sharma TK. A dynamic window-size based segmentation technique to detect driver entry and exit from a car. J King Saud Univ - Comput Inf Sci. 2021;

Sharma TK. Enhanced butterfly optimization algorithm for reliability optimization problems. J Ambient Intell Humaniz Comput. 2021;

Gupta H, Varshney H, Sharma TK, Pachauri N, Verma OP. Comparative performance analysis of quantum machine learning with deep learning for diabetes prediction. Complex Intell Syst. 2021;

Gupta H, Kumar S, Yadav D, Verma OP, Sharma TK, Ahn CW, et al. Data analytics and mathematical modeling for simulating the dynamics of COVID-19 epidemic—a case study of India. Electron. 2021;

Sharma K, Goswami L. RFID based Smart Railway Pantograph Control in a Different Phase of Power Line. In: Proceedings of the 2nd International Conference on Inventive Research in Computing Applications, ICIRCA 2020. 2020.

Khatri M, Kumar A. Stability Inspection of Isolated Hydro Power Plant with Cuttlefish Algorithm. In: 2020 International Conference on Decision Aid Sciences and Application, DASA 2020. 2020.

Ghai W, Kumar S, Athavale VA. Using gaussian mixtures on

triphone acoustic modelling-based punjabi continuous speech recognition. In: Advances in Intelligent Systems and Computing. 2021.

Hahanov V, Gharibi W, Man KL, Iemelianov I, Liubarskyi M, Abdullayev V, et al. Cyber-physical technologies: Hype cycle 2017. In: Cyber Physical Computing for IoT-driven Services. 2018.

Khanna R, Verma S, Biswas R, Singh JB. Implementation of branch delay in Superscalar processors by reducing branch penalties. In: 2010 IEEE 2nd International Advance Computing Conference, IACC 2010. 2010.

Kumar Gola K, Chaurasia N, Gupta B, Singh Niranjan D. Sea lion optimization algorithm based node deployment strategy in underwater acoustic sensor network. Int J Commun Syst. 2021;

Barmpounakis S, Kaloxylos A, Groumas A, Katsikas L, Sarris V, Dimtsa K, et al. Management and control applications in Agriculture domain via a Future Internet Business-to-Business platform. Inf Process Agric. 2015;

Schönfeld M v., Heil R, Bittner L. Big Data on a Farm— Smart Farming. In 2018.

Gupta B, Gola KK, Dhingra M. HEPSO: an efficient sensor node redeployment strategy based on hybrid optimization algorithm in UWASN. Wirel Networks. 2021;

Gandomi A, Haider M. Beyond the hype: Big data concepts, methods, and analytics. Int J Inf Manage. 2015;

Oussous A, Benjelloun FZ, Ait Lahcen A, Belfkih S. Big Data technologies: A survey. Journal of King Saud University - Computer and Information Sciences. 2018.

Gupta N, Jain A, Vaisla KS, Kumar A, Kumar R. Performance analysis of DSDV and OLSR wireless sensor network routing protocols using FPGA hardware and machine learning. Multimed Tools Appl. 2021;

Gupta N, Vaisla KS, Jain A, Kumar A, Kumar R. Performance Analysis of AODV Routing for Wireless Sensor Network in FPGA Hardware. Comput Syst Sci Eng. 2021;

Kumar A, Jain A. Image smog restoration using oblique gradient profile prior and energy minimization. Front Comput Sci. 2021;

Stovold RGH, Adams M, Maier SW, Donald G, Gherardi S, Broomhall M. Using Pasture Growth Rate Data in a National Agricultural Drought Assessment Monitoring Tool. In 2009.

Solanki MS, Sharma DKP, Goswami L, Sikka R, Anand V. Automatic Identification of Temples in Digital Images through Scale Invariant Feature Transform. In: 2020 International Conference on Computer Science, Engineering and Applications, ICCSEA 2020. 2020.

Goswami L, Kaushik MK, Sikka R, Anand V, Prasad Sharma K, Singh Solanki M. IOT Based Fault Detection of Underground Cables through Node MCU Module. In: 2020 International Conference on Computer Science, Engineering and Applications, ICCSEA 2020. 2020.

Hesse A, Bertulat S, Heuwieser W. Survey of work processes on German dairy farms. J Dairy Sci. 2017;

Kaloxylos A, Eigenmann R, Teye F, Politopoulou Z, Wolfert S, Shrank C, et al. Farm management systems and the Future Internet era. Comput Electron Agric. 2012;