Advances in Internet of Things

Advances in Internet of Things

ISSN Print: 2161-6817
ISSN Online: 2161-6825
www.scirp.org/journal/ait
E-mail: ait@scirp.org
"Development of a Low-Cost Internet-of-Things (IoT) System for Monitoring Soil Water Potential Using Watermark 200SS Sensors"
written by José O. Payero, Ali Mirzakhani-Nafchi, Ahmad Khalilian, Xin Qiao, Rebecca Davis,
published by Advances in Internet of Things, Vol.7 No.3, 2017
has been cited by the following article(s):
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[1] An Effective and Affordable Internet of Things (IoT) Scale System to Measure Crop Water Use
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[2] Hydrological and erosional dynamics: Responses to changes in land uses and climate in the Cerrado biome
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[3] System management of irrigation under climate change conditions for determining the crop water demand and solutions for the water-saving
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[4] Automated low-cost soil moisture sensors: trade-off between cost and accuracy
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[5] Soil-Surface-Image-Feature-Based Rapid Prediction of Soil Water Content and Bulk Density Using a Deep Neural Network
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[6] Prototype of Automatic Control System for Water Temperature and Acidity in Ornamental Fish Aquarium Based on Internet of Things (IOT)
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[7] Identification of Soil Water Potential Sensors Readings in an Irrigation Control System Using Internet-of-Things (IoT): Automatic Tensiometer and Watermark 200SS
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[8] Quad sensor-based soil-moisture prediction using machine learning
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[9] An IoT-Enabled Multi-Sensor System with Location Detection for Agricultural Applications
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[10] 5G and IoT for Smart Farming
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[11] Smart high-yield tomato cultivation: precision irrigation system using the Internet of Things
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[12] Leaf disease classification in smart agriculture using deep neural network architecture and IoT
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[13] Using IoT in Smart Agriculture: Study about Practical Realizations and Testing in a Real Environment
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[14] A Study of Efficient Management of Nutrients in Fertilizers using IoT and ML
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[15] Scientific Irrigation Scheduling for Sustainable Production in Olive Groves. Agriculture 2022, 12, 564
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[16] The Integration Model of Agricultural Products E-Commerce and Supermarket Based on the Internet of Things
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[17] IoT Based Automated Irrigation Management Technique for Climate Smart Agriculture
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[18] The Integration Model of Agricultural Products E‐Commerce and Supermarket Based on the Internet of Things
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[19] Development of Web Page and Android Application for IoT-Enabled Agricultural System
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[20] Scientific irrigation scheduling for sustainable production in olive groves
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[21] Wireless communication protocols in smart agriculture: A review on applications, challenges and future trends
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[22] Development of semi-automatic recalibration system and curve-fit models for smart soil moisture sensor
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[23] Applicability of machine learning algorithms for intelligent farming
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[24] Development of an Internet of Things (IoT) System for Measuring Agricultural Runoff Quantity and Quality
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[25] Development and Application of Cell-Phone-Based Internet of Things (IoT) Systems for Soil Moisture Monitoring
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[26] Python Software Integrates with Microcontrollers and Electronic Hardware to Ease Development for Open-Source Research and Scientific Applications
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[27] Fitting (Tempat Lampu) Berbasis Internet of Things (IoT) Menggunakan Arduino
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[28] A survey on the 5G network and its impact on agriculture: Challenges and opportunities
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[29] Automated ERP System with Internet of Things
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[30] DEVELOPMENT OF A LOW-COST OPEN-SOURCE PLATFORM CONNECTED TO THE INTERNET FOR ACQUISITION OF ENVIRONMENTAL PARAMETERS AND …
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[31] IoT based Intelligent Information-Analytical System Architecture for Water Tank Monitoring
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[32] Canopy Temperature as a Key Physiological Trait to Improve Yield Prediction under Water Restrictions in Potato
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[33] A WIRELESS SOIL MOISTURE SENSING NETWORK TO AUTOMATE SITE-SPECIFIC IRRIGATION OF COTTON USING A LATERAL MOVE IRRIGATION SYSTEM
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[34] Smart System for Automated Irrigation Using Internet of Things Devices
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[35] Development of a low-cost open-source platform connected to the internet for acquisition of environmental parameters and soil moisture
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[36] Comparison of Machine Learning Regression Models for Prediction of Soil Moisture with the use of Internet of Things Irrigation System Data
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[37] Architecture and communication protocol to monitor and control water quality and irrigation in agricultural environments
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[38] Soil water balance models for determining crop water and irrigation requirements and irrigation scheduling focusing on the FAO56 method and the dual Kc approach
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[39] A Multi-Modal Approach for Crop Health Mapping Using Low Altitude Remote Sensing, Internet of Things (IoT) and Machine Learning
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[40] Mitigation Techniques for Agricultural Pollution by Precision Technologies with a Focus on the Internet of Things (IoTs): A
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[41] Cloud-IoT Platform for Smart Irrigation Solution Based on NodeMCU
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[42] IoT-Based Smart Irrigation Systems: An Overview on the Recent Trends on Sensors and IoT Systems for Irrigation in Precision Agriculture
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[43] Security Improvements for Implementing the Internet of Things into Medium and Large-Sized Businesses
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[44] Development of Low-Cost Internet-of-Things (IoT) Networks for Field Air and Soil Monitoring Within the Irrigation Control System
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[45] Mitigation techniques for agricultural pollution by precision technologies with a focus on the Internet of Things (IoTs): a review
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[46] Forty Years of Increasing Cotton's Water Productivity and Why the Trend Will Continue
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[47] Retrospective and prospective of hydro-met monitoring system in the Canton Ticino, Switzerland
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[48] Validação de uma rede de sensores sem fio aplicada à fruticultura irrigada do vale do São Francisco
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[49] Soil Moisture and Atmosphere Components Detection System Using IoT and Machine Learning
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[50] An Open Source and Low-Cost Internet of Things-enabled Service for Irrigation Management
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[51] Agriculture Field Motor Control System using Global System for Mobile Communication (GSM)
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[52] Calibration and Validation of a Low-Cost Capacitive Moisture Sensor to Integrate the Automated Soil Moisture Monitoring System
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[53] Evolving Open-Source Technologies Offer Options for Remote Sensing and Monitoring in Agriculture
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[54] IoTAgua: Intelligent Water Consumption Management System
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[55] Penerapan internet of things (IoT) untuk kontrol lampu menggunakan arduino berbasis web
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[56] IoTÁgua-Sistema Inteligente de Gerenciamento de Consumo de Água
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[57] INTERNET OF THINGS (IoT) BASED HOME AUTOMATION: A REVIEW.
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[58] Calibration of resistance sensors in the measurement of matrix potential in three types of soils under greenhouse conditions.
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[59] Internet of Things (IoT) Based Home Automation: A Review
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[60] Soybean Root Growth and Yield Response to Variable Rate Irrigation
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[61] Using Cloud IOT for disease prevention in precision agriculture
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[62] CALIBRACIÓN DE SENSORES DE RESISTENCIA EN LA MEDICIÓN DEL POTENCIAL MÁTRICO EN TRES TIPOS DE SUELOS EN CONDICIONES DE …
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[63] Open-Source Wireless Cloud-Connected Agricultural Sensor Network
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[64] A Review of Low-End, Middle-End, and High-End Iot Devices
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[65] Aplicación de Sistemas Embebidos e IoT para el Monitoreo de Estanques Acuícolas en Eldorado, Sinaloa
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[66] The Internet of Things: Vision, Architecture and Applications
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[67] Development of an open-source cloud-connected sensor-monitoring platform
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[68] An Arduino-Based Wireless Sensor Network for Soil Moisture Monitoring Using Decagon EC-5 Sensors
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[69] Year of Publication: 2017
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[70] A WIRELESS SOIL MOISTURE SENSING NETWORK TO AUTOMATE SITE-SPECIFIC IRRIGATION OF COTTON USING A LATERAL MOVE IRRIGATION …
[71] A Comprehensive Review of the GNSS with IoT Applications and Their Use Cases with Special Emphasis on Machine Learning and Deep Learning Models
[72] Distributed Linear Dimensionality Reduction Assisted by Centralized NN for Classification
[73] Integrating IoT, ML and Cloud Computing for Sustainable Agriculture: Opportunities and Challenges
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