The Role of Emerging IT Technologies in Agriculture

Authors

  • Kannepalli Subhadra Dept. of Computer Science and Engineering, BVCITS, Amalapuram, India

DOI:

https://doi.org/10.26438/ijcse/v8i3.4957

Keywords:

Internet of Things, Big Data, AI, Smart Farming

Abstract

Agriculture sector in India is moving back day by day which affects the production capacity of ecosystem. Agriculture has usually been treated as an instinctive space with insight passed down from one generation to another. But today’s problems like the climate change, reduction of feasible farmland, reduction of water resources, and the loss of productivity due to the occurrence of extreme weather events are more complex and vital in the present nature. The United Nations estimates that the global population will reach 9.8 billion by 2050 that is a 2.2 billion increase from now [1]. This means that there is a need to improve our crop production significantly to supply to the rising number of people. One of the important things that are associated with present agriculture is the capability to forecast the events that will produce a desired outcome. Farmers need proper information throughout the entire farming cycle to achieve the goals. The required information is sprinkled in various places which includes actual information such as market prices and current production level along with the existing primary crop knowledge. The world around agriculture requires automation by replacing manual procedures with the expansion of technology, because it is energy efficient and takes minimal man power. Some farmers simply cannot increase their land to cultivate more crops, in that situation there is a need for technology to make better use of the available space in an efficient manner. This situation leads for technological innovation, to face the challenges like extreme weather conditions, rising climate change, and farming’s environmental impact. To meet these increasing needs, agriculture has to revolve to new technology. Now a day’s there is rapid enhancement in technologies, 

References

[1] World Population Projected To Reach 9.8 Billion In 2050, And 11.2 Billion In 2100. Accessed: Apr. 18, 2019. [Online].

[2] Special Section On New Technologies For Smart Farming 4.0: Research Challenges And Opportunities, Received July 7, 2019, Internet-Of-Things (IOT)-Based Smart Agriculture: Toward Making The Fields Talk, Corresponding Author: Muhammad Ayaz . [3] Iot for All, Iot Applications In Agriculture, January 3, 2020.

[4] Data Flair, Iot Applications In Agriculture – 4 Best Benefits Of Iot In Agriculture, By Dataflair Team · Updated · September 15, 2018.

[5] Telit, Crop and Live Stack Management, Support Live Stock Health Through Real Time Monitoring.

[6] Seriun, Big Data, The Internet Of Things(Iot), And Artificial Intelligence(Ai)

[7] M. Ayaz Et Al.: Iot-Based Smart Agriculture: Toward Making The Fields Talk.

[8] The Many Practical Uses Of Big Data In Agriculture, September 17th 2018.

[9] Intellias Blog Post, How To Encourage Formers To Use Big Data Analytics In Agriculture.

[10] Eleks Blog Post, How Is Big Data Being Used?. [11] Big Data And Agriculture :A Complete Guide

[12] Agricultural Systems, Volume 153, May 2017, Pages 69-80.

[13] The Role Of Artificial Intelligence In Agriculture Sector, Jyoti Gupta October 11, 2019, Advantage Of Implementing Ai In Agriculture.

[14] Online Sciences: Applications Of Artificial Intelligence In Agriculture, Agricultural Robots, Drones & Plantix App, By Heba Soffar · Published July 9, 2019.

[15] E Agriculture, Food And Agriculture Organization Of The United Nations, Can Artificial Intelligence Help Improve Agricultural Productivity?

[16] Ai For Weather Forecasting – In Retail, Agriculture, Disaster Prediction, And More Last Updated On May 20, 2019, Published By Jon Walker.

[17] Ai In Agriculture – Present Applications And Impact, Last Updated On November 21, 2019, Published By Kumba Sennaar.

[18] Team Talk, Iot, Big Data And Ai – The Three Digital Pillars Of Every Industry, Published On July 16, 2019.

[19] World agriculture, The Benefits of Internet of Things (IoT) for Smart Agriculture

[20] Slide share, aws+intel-smart-greenhouse-demo,

[21] BRAEMAC,IOT and lorawan modernize livestock monitoring

[22] L. Zhang, I. K. Dabipi, andW. L. Brown, ``Internet of Things applications for agriculture,'' in Internet of Things A to Z: Technologies and Applications, Q. Hassan, Ed., 2018.

[23] E. Sisinni, A. Saifullah, S. Han, U. Jennehag, and M. Gidlund, ``Industrial Internet of Things: Challenges, opportunities, and directions,'' IEEE Trans. Ind. Informat., vol. 14, no. 11, pp. 4724_4734, Nov. 2018.

[24] J. Lin, W. Yu, N. Zhang, X. Yang, H. Zhang, and W. Zhao,``A survey on Internet of things: Architecture, enabling technologies, security and privacy, and applications,'' IEEE Internet Things J., vol. 4, no. 5,pp. 1125_1142, Oct. 2017.

[25] X. Hi, X. An, Q. Zhao, H. Liu, L. Xia, X. Sun, and Y. Guo, ``State- of-the art Internet of Things in protected agriculture,'' Sensors, vol. 19, no. 8,p. 1833, 2019.

[26] O. Elijah, T. A. Rahman, I. Orikumhi, C. Y. Leow, and M. N.Hindia, ``An overview of Internet of Things (IoT) and data analytics in agriculture: Bene_ts and challenges,'' IEEE Internet Things J., vol. 5, no. 5, pp. 3758_3773, Oct. 2018.

[27] S. Kim, M. Lee, and C. Shin, ``IoT-based strawberry disease Prediction system for smart farming,'' Sensors, vol. 18, no. 11, p. 4051, 2018

[28] Dangermond, J. (2018). “The Emergence of a Geospatial Cloud and the Continuing Evolution of Cloud Computing”, ArcNews, spring 2019, Vol. 41, No. 2.

[29] International Journal of Scientific Research in Review Paper Computer Science and Engineering- Deep Learning Techniques, Vol.8, Issue.1, pp.105-109, February (2020).

[30] IJSRNSC Volume-7, Issue-6, December 2019 Research Paper, Emerging Cyber Security Threats in Organization

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Published

2020-03-30
CITATION
DOI: 10.26438/ijcse/v8i3.4957
Published: 2020-03-30

How to Cite

[1]
K. Subhadra, “The Role of Emerging IT Technologies in Agriculture”, Int. J. Comp. Sci. Eng., vol. 8, no. 3, pp. 49–57, Mar. 2020.

Issue

Vol. 8 No. 3 (2020): IJCSE March Edition

Section

Review Article

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