Press “A†for Artificial Intelligence in Agriculture: A Review

Yogesh Awasthi - Department of Computer and Computer Information Systems, Africa University, Mutare, Zimbabwe


Citation Format:



DOI: http://dx.doi.org/10.30630/joiv.4.3.387

Abstract


Agriculture is the backbone of the developing country. In old era agriculture was based on the experience which was shared by people to people but in this digital era technology play a very important and significant role in agriculture. Now agriculture become a business hub therefore farmers are focusing on precision farming. They introduced the technology in agriculture to define the accurate information about seed, soil, weather, disease and all factors which affecting the farming. Artificial Intelligence uses predictive analysis, image analysis, learning techniques and Pattern analysis to declare the best cost effective and maximum gain for the agriculturist. The aim of this paper is to provide the crucial information with the help of technology which a farmers can use to harvest the variety of crops as per the demand in world so that they can get maximum benefits.

Keywords


Artificial Intelligence, Agriculture, Analysis, Precision Farming, Information Technology

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References


https://customerthink.com/the-role-of-artificial-intelligence-in-agriculture-sector/

https://emerj.com/ai-sector-overviews/ai-agriculture-present-applications-impact/

https://www.analyticsinsight.net/ai-in-agriculture-strengthening-the-future-of-farming/

https://www.analyticsinsight.net/ai-in-agriculture-strengthening-the-future-of-farming/

http://www.fao.org/e-agriculture/news/can-artificial-intelligence-help-improve-agricultural-productivity

https://www.plugandplaytechcenter.com/resources/artificial-intelligence-agtech/

Kumar, N., Y. Awasthi, and R. P. Agarwal. “Authenticating cloud and data centre with iris,†International Journal of Engineering and Research, vol 4(3), pp. 213-216, 2016.

Deepak G. Panpatte. “Artificial Intelligence in Agriculture: An Emerging Era of Research,†Intuitional Science, CANADA, 2018.

R. Tomar and Y. Awasthi, "Prevention Techniques Employed in Wireless Ad-Hoc Networks," 2019 International Conference on Advanced Science and Engineering (ICOASE), Zakho - Duhok, Iraq, pp. 192-197, 2019, doi: 10.1109/ICOASE.2019.8723725.

N. Singh and Y. Awasthi, “WSN-AI based Cloud Computing Architectures for Energy Efficient Climate Smart Agriculture with Big Data analysis," 2019 International Journal of Advanced Trends in Computer Science and Engineering, pp. 91-97, 2019.

Thangadurai Natarajan and Niraj Prasad Bhatta," Utilization of IOT and AI for Agriculture," International Journal of Advanced Technology and Engineering Exploration,†vol. 8(5), pp. 2731-2735, 2019.

Awasthi, Yogesh, R. P. Agarwal, and B. K. Sharma. “A Novel Secure Watermarking Scheme for RDBMS,†International Journal of Data Warehousing & Mining, vol. 4. 2014.

Medar, Ramesh, Vijay S. Rajpurohit, and Shweta Shweta. "Crop Yield Prediction using Machine Learning Techniques." 2019 IEEE 5th International Conference for Convergence in Technology (I2CT). IEEE, 2019.

Pathan, Misbah, et al. "Artificial cognition for applications in smart agriculture: A comprehensive review." Artificial Intelligence in Agriculture, 2020.

Geli, Hatim, et al. "Climate Adaptive Smart Systems for Future Agricultural and Rangeland Production.", 2019.

Ruggieri, Sara. "Ai and robots: the impact on the labour market." (2019).