REVIEW PAPER ARTIFICIAL INTELLIGENCE IN AGRICULTURE

Authors

  • Mr. Desai P.B Lecturer in (Department of Electronics & Telecommunication Engineering), SVSMD’s KKI Polytechnic, Akkalkot, Solapur, Maharashtra, India
  • Mr. Khilari V. S Lecturer in (Department of Electronics & Telecommunication Engineering), SVSMD’s KKI Polytechnic, Akkalkot, Solapur, Maharashtra, India
  • Mr. Bandhichode B. R Student, From Department of Electronics & Telecommunication Engineering SVSMD’s KKI Polytechnic, Akkalkot, Solapur, Maharashtra, India
  • Mr. Satalgaon B. K. Student, From Department of Electronics & Telecommunication Engineering SVSMD’s KKI Polytechnic, Akkalkot, Solapur, Maharashtra, India

Keywords:

artificial intelligence; agriculture;

Abstract

The application of Artificial Intelligence (AI) has been evident in the agricultural sector recently. The sector faces numerous challenges in order to maximize its yield including improper soil treatment, disease and pest infestation, big data requirements, low output, and knowledge gap between farmers and technology. The main concept of AI in agriculture is its flexibility, high performance, accuracy, and cost-effectiveness. This paper presents a review of the applications of AI in soil management, crop management, weed management and disease management. A special focus is laid on the strength and limitations of the application and the way in utilizing expert systems for higher productivity.

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References

S. L. Teal, A. I. Rudnicky, “A Performance Model of System Delay and User Strategy Selection”, Conference on Human Factors in Computing Systems, California, USA, May 3-7, 1992

P. Mowforth, I. Bratko, AI and Robotics: Flexibility and Integration, Cambridge University Press, 1987

R. Gerhards, S. Christensen, “Real-time weed detection, decisionmaking and patch-spraying in maize, sugarbeet, winter wheat and winter barley”, Wiley Online Library, Vol. 43, No. 6, pp. 385-392, 2003

S. Fahad, S. Hussain, B. S. Chauhan, S. Saud, C. Wu, S. Hassan, M. Tanveer, A. Jan, J. Huang, “Weed growth and crop yield loss in wheat as influenced by row spacing and weed emergence times”, Crop Protection, Vol. 71, pp. 101–108, 2015

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Published

2021-07-06

How to Cite

[1]
Mr. Desai P.B, Mr. Khilari V. S, Mr. Bandhichode B. R, and Mr. Satalgaon B. K., “ REVIEW PAPER ARTIFICIAL INTELLIGENCE IN AGRICULTURE ”, IEJRD - International Multidisciplinary Journal, vol. 6, no. 4, p. 6, Jul. 2021.

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