Machine Learning in Agriculture

Matthew N. O. Sadiku, Chandra M. M Kotteti, Sarhan M. Musa

Abstract


Machine learning is an emerging field of artificial intelligence which can be applied to the agriculture sector. It refers to the automated detection of meaningful patterns in a given data.  Modern agriculture seeks ways to conserve water, use nutrients and energy more efficiently, and adapt to climate change.  Machine learning in agriculture allows for more accurate disease diagnosis and crop disease prediction. This paper briefly introduces what machine learning can do in the agriculture sector.

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References


K. Kaur, “Machine learning: Applications in Indian agriculture,” International Journal of Advanced Research in Computer and Communication Engineering, vol. 5, no. 4, April 2016, pp. 342-344.

H. D. Aparna, K. S. Kavitha, and C. Kavitha, “Use of machine learning techniques to help in predicting fertilizer usage in agriculture production,” International Research Journal of Engineering and Technology, vol. 4, no. 5, May 2017, pp. 1868-1869

M. N. O. Sadiku, S. M. Musa, and O. S. Musa, “Machine Learning,” International Research Journal of Advanced Engineering and Science, vol. 2, no. 4, 2017, pp. 79-81.

V. Singh, A. Sarwar, and V, Sharma, “Analysis of soil and prediction of crop yield (Rice) using Machine Learning approach,” International Journal of Advanced Research in Computer Science, vol. 8, no. 5, May-June 2017, pp. 1254-1259.

T. Shakoor et al., “Agricultural production output prediction using supervised machine learning techniques,” Proceedings of the 1st International Conference on Next Generation Computing Applications, 2017, pp. 182-187.

J. S. Chou, C. C. Ho, H. S. Hoang, “ Determining quality of water in reservoir using machine learning,” Ecological Informatics, vol. 44, 2018, pp. 57–75.

R. J. McQueen et al., “Applying machine learning to agricultural data,” Computers and Electronics in Agriculture, vol. 12, 1995, pp. 275-293.




DOI: https://doi.org/10.23956/ijarcsse.v8i6.713

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