AI Based Solution to Optimize the Fertilizer Composition in Hydroponics Agriculture-Reference-Cited by-同舟云学术

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AI Based Solution to Optimize the Fertilizer Composition in Hydroponics Agriculture

Published:2023-02-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 15th International Conference on Machine Learning and Computing
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Author:

Ekanayake Pubudu¹^ORCID,Fernando Subha²^ORCID,Rodrigo Ranga³^ORCID,Jayasena Sanath⁴^ORCID

Affiliation:

1. CODEGEN QBITS Lab, University of Moratuwa, Sri Lanka

2. Department of Computational Mathematics, University of Moratuwa, Sri Lanka

3. Department of Electronics and Telecommunication, University of Moratuwa, Sri Lanka

4. Computer Science and Engineering, University of Moratuwa, Sri Lanka

Funder

CODEGEN QBITS Lab

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3587716.3587742

Reference50 articles.

1. A smart hydroponics farming system using exact inference in Bayesian network

2. On the design of Nutrient Film Technique hydroponics farm for smart agriculture

3. Qinghai Bai . 2010. Analysis of particle swarm optimization algorithm. Computer and information science 3, 1 ( 2010 ), 180. Qinghai Bai. 2010. Analysis of particle swarm optimization algorithm. Computer and information science 3, 1 (2010), 180.

4. Sparse Extreme Learning Machine for Regression

5. EBK-means: A clustering technique based on elbow method and k-means in WSN;Bholowalia Purnima;International Journal of Computer Applications,2014

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