MACHINE LEARNING APPLICATIONS IN AGRICULTURE

Authors

  • Ismoilova Mahliyo Author
  • P.Pradeepa Author

Abstract

Food is a basic need of human beings that is now satisfied through farming. Machine learning in agriculture can optimize the way food gets to our table and revolutionize one of the most critical sectors of the economy.Machine learning seems to be a perfect tool for this purpose. It can help us increase efficiency and accuracy in decision-making while simultaneously minimizing risks and costs associated with agricultural operations.Some companies make use of AI software in agriculture by utilizing machine learning for various processes. These tools can make a real difference in agricultural productivity and profitability by reducing waste while enhancing product quality.

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References

Goleman, D. “Leadership That Gets Results,” Harvard Business Review, March-April 2007.

McBride, Patricia and Maitland, Susan. EI Advantage: Putting Emotional Intelligence Into Practice, McGraw Hill, 2001.

Beedle, M. et al. “The Agile Manifesto,” 2001, accessed 10/2/2010 atwww.agilemanifesto.org/principles

Larman, C. Agile and Iterative Development: a Manager's Guide, Addison-Wesley: Boston; 2009.

Adkins, Lyssa. Coaching Agile Teams, Addison-Wesley, 2010, p. 39.

Suscheck, Ford. “Jazz improvisation as a learning metaphor for the scrum software development methodology,” Software Process: Improvement and Practice, Volume 13. Issue 5.

http://en.wikipedia.org/wiki/Pair_programming

Heath, Chip and Heath, Dan. “Switch: How to Change Things When Change is Hard”, Crown Business, 2011.

Joao Carreira and Andrew Zisserman. Quo vadis, action recognition a new model and the kinetics dataset. In CVPR, 2017. 1, 2, 8

Yunpeng Chen, Yannis Kalantidis, Jianshu Li, Shuicheng Yan, and Jiashi Feng. Multi-fiber networks for video recognition. In ECCV, 2018. 2, 8

Christoph Feichtenhofer, Axel Pinz, and Richard P. Wildes. Spatiotemporal residual networks for video action recognition. In NIPS, 2016. 2

Karen Simonyan and Andrew Zisserman. Two-stream convolutional networks for action recognition in videos. In NIPS, 2014. 2

Du Tran Heng Wang Lorenzo Torresani Matt Feiszli Facebook AI Video Classification with Channel-Separated Convolutional Networks. In 2019

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Published

2024-07-02

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Articles