Data Filtering Method based on LSTM for Non-Water-Stressed Baseline Estimation in Real-time Crop Water Stress Monitoring-Reference-Cited by-同舟云学术

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Data Filtering Method based on LSTM for Non-Water-Stressed Baseline Estimation in Real-time Crop Water Stress Monitoring

Published:2022-05-24 Issue: Volume: Page:
ISSN:
Container-title:2022 19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)
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Author:

Kumpipot Panupong¹,Kittipiyakul Somsak¹,Karnjana Jessada²,Kumazawa Itsuo³,Phatrapornnant Teera²,Rungprateepthaworn Khongpan²

Affiliation:

1. Thammasat University,Information, Computer, and Communication Technology Sirindhorn International Institute of Technology,Pathum Thani,Thailand

2. National Science and Technology Development Agency,NECTEC,Pathum Thani,Thailand

3. Tokyo Institute of Technology,Information and Communications Engineering,Tokyo,Japan

Funder

National Science and Technology Development Agency

Tokyo Institute of Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9795349/9795357/09795454.pdf?arnumber=9795454

Reference14 articles.

1. Non-water-stressed baselines: A key to measuring and interpreting plant water stress;idso;Agricultural Meteorology,1982

2. Long Short-Term Memory

3. Comparison of deficit irrigation scheduling methods that use canopy temperature measurements

4. Evaluation of the Crop Water Stress Index as an Indicator for the Diagnosis of Grapevine Water Deficiency in Greenhouses

5. Relationships between normalized leaf water potential and crop water stress index values for acala cotton;jackson;Agricultural Water Management,1991

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