Recalibration and performance comparison of soil moisture sensors using regression and neural network characteristic models-Reference-Cited by-同舟云学术

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Recalibration and performance comparison of soil moisture sensors using regression and neural network characteristic models

Published:2021 Issue: Volume:45 Page:4852-4861
ISSN:2214-7853
Container-title:Materials Today: Proceedings
language:en
Short-container-title:Materials Today: Proceedings

Author:

Verma Sagar^ORCID,Pahuja Roop

Publisher

Elsevier BV

Subject

General Medicine

Reference22 articles.

1. A review of wireless sensors and networks' applications in agriculture;Aqeel-ur-Rehman;Comp. Stand. Interfaces,2011

2. LABVIEW based wireless soil moisture and temperature monitoring system for water irrigation management;Bachuwar;Indian J. Sci. Res.,2017

3. B. Gopinath et al., Automatic Terrace Gardening using LabVIEW, Int. J. Sci. Res. Develop., 4 (12), 2017.

4. Praveen Barapatre et.al, Determination of soil moisture using various sensors for irrigation water management, Int. J. Innov. Technol. Explor. Eng., 8 (7) 2019.

5. Sharmila Nath et al., Analysis of soil moisture sensors, Int. J. Res. Eng. Appl. Manage., 04 (03), 2018.

Cited by 3 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. Development of semi-automatic recalibration system and curve-fit models for smart soil moisture sensor;Measurement;2022-11

2. Soil Moisture a Posteriori Measurements Enhancement Using Ensemble Learning;Sensors;2022-06-17

3. Calibration and comparison of various sensors for soil moisture measurement;Measurement;2022-06

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