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IJSTR >> Volume 10 - Issue 5, May 2021 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Machine Learning In Agriculture: A Review

[Full Text]

 

AUTHOR(S)

Azeem Ayaz Mirani, Muhammad Suleman Memon, Rozina Chohan, Asif Ali Wagan, Mumtaz Qabulio

 

KEYWORDS

Machine learning, IIoT, Agri 4.0, Precision, Crop yield prediction.

 

ABSTRACT

Agriculture 4.0 (A4.0) major area of study to focus on for efficient agricultural production. Agriculture crop product has emerged with several new computational methods. However, few important factors were not possible to maintain and monitor promptly as today is possible. Computational intelligence and machine learning techniques evolved to analyze, quantify, monitor, and predict agricultural crops. The robustness in machine learning methods and computational techniques provided easy, accurate, up to date future predictions. Machine learning is one of the dominant fields in theses that are used for computational analysis of the obtained data. The historical data can be analyzed and processed for future prediction. In agricultural science crop yield prediction is a major area of study to make aware of future repercussions relating to the agricultural crop. This study highlights the Evaluation, applications, and challenges of machine learning for crop yield prediction.

 

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