Decision support system for precision agriculture using deep learning

Madhukumar, Neethu (2022) Decision support system for precision agriculture using deep learning. PhD thesis, James Cook University.

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DOI: 10.25903/0k1b-gg33

View at Publisher Website: https://doi.org/10.25903/0k1b-gg33

Abstract

Neethu Madhukumar developed a deep learning-based irrigation decision support system (IDSS). Literature revealed existing IDSS performance declines under inaccurate rainfall and soil moisture information. Hence she developed novel deep learning technologies for more accurate information extraction of these parameters for better irrigation decisions, resulting in signification water and cost savings.


Item ID:	85089
Item Type:	Thesis (PhD)
Keywords:	precision agriculture, irrigation, climate models, rainfall
Related URLs:	https://researchonline.jcu.edu.au/65219/ https://researchonline.jcu.edu.au/77667/
Copyright Information:	Copyright © 2022 Neethu Madhukumar
Additional Information:	Two publications arising from this thesis are stored in ResearchOnline@JCU, at time of processing. Please see the Related URLS. The publications are: [Chapter 3] Madhukumar, Neethu, Wang, Eric, Zhang, Yi-Fan, and Xiang, Wei (2021) Consensus forecast of rainfall using hybrid climate learning model. IEEE Internet of Things Journal, 8 (9). pp. 7270-7278. [Chapter 4] Madhukumar, Neethu, Wang, Eric, Fookes, Clinton, and Xiang, Wei (2022) 3-D Bi-directional LSTM for Satellite Soil Moisture Downscaling. IEEE Transactions on Geoscience and Remote Sensing, 60. 5414018.
Date Deposited:	14 Apr 2025 01:40
FoR Codes:	30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3002 Agriculture, land and farm management > 300299 Agriculture, land and farm management not elsewhere classified @ 25% 41 ENVIRONMENTAL SCIENCES > 4106 Soil sciences > 410699 Soil sciences not elsewhere classified @ 25% 46 INFORMATION AND COMPUTING SCIENCES > 4611 Machine learning > 461103 Deep learning @ 50%
SEO Codes:	22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220402 Applied computing @ 40% 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280115 Expanding knowledge in the information and computing sciences @ 30% 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280101 Expanding knowledge in the agricultural, food and veterinary sciences @ 30%
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