A systematic literature review on machine learning applications for sustainable agriculture supply chain performance

Author:

Sharma RohitORCID,Kamble Sachin S.ORCID,Gunasekaran Angappa,Kumar VikasORCID,Kumar Anil

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Modeling and Simulation,General Computer Science

Reference206 articles.

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2. The effects of knowledge transfer on farmers decision making toward sustainable agriculture practices: in view of green fertilizer technology;Adnan;World J. Sci., Technol. Sustain. Dev.,2018

3. Ahn, H.S., Dayoub, F., Popovic, M., MacDonald, B., Siegwart, R. and Sa, I., 2018. An overview of perception methods for horticultural robots: from pollination to harvest. arXiv:1807.03124.

4. Application of planning models in the agri-food supply chain: a review;Ahumada;Eur. J. Oper. Res.,2009

5. Multi-stage hybridized online sequential extreme learning machine integrated with Markov chain Monte Carlo copula-Bat algorithm for rainfall forecasting;Ali;Atmos. Res.,2018

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