Bespoke cultivation of seablite with digital agriculture and machine learning-Reference-Cited by-同舟云学术

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Bespoke cultivation of seablite with digital agriculture and machine learning

Published:2024-09 Issue: Volume:166 Page:112559
ISSN:1470-160X
Container-title:Ecological Indicators
language:en
Short-container-title:Ecological Indicators

Author:

Chaichana Thanapong,Reeve Graham,Drury Brett,Chakrabandhu Yasinee,Wangtueai Sutee,Yoowattana Sarat,Sookpotharom Supot,Boonnam Nathaphon,Brennan Charles S.,Muangprathub Jirapond

Publisher

Elsevier BV

Reference51 articles.

1. Design and performance evaluation of a low-cost autonomous sensor interface for a smart iot-based irrigation monitoring and control system;Abba;Sensors,2019

2. Basha, M., Rajput, D.S., 2019. Survey on evaluating the performance of machine learning algorithms: past contributions and future roadmap. In book: Deep Learning and Parallel Computing Environment for Bioengineering Systems, Sangaiah, A.K., Eds.; Academic Press, 153-164.

3. Optimal plant growth in smart farm hydroponics system using the integration of wireless sensor networks into internet of things;Boonnam;Adv. Sci. Technol. Eng. Syst. J.,2017

4. Coral reef bleaching under climate change: prediction modeling and machine learning;Boonnam;Sustainability,2022

5. Impacts of the changing climate on agricultural productivity and food security: evidence from Ethiopia;Bouteska;J. Clean. Prod.,2024

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Data from a survey of coffee cultivation in lowland and highland areas to support agriculture during climate change;Data in Brief;2024-10

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