scholarly journals Development of a Low-Cost Multi-Depth Real-Time Soil Moisture Sensor Using Time Division Multiplexing Approach

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 19688-19697 ◽  
Author(s):  
Iftikhar Ahmed Saeed ◽  
Shi Qinglan ◽  
Minjuan Wang ◽  
Salman Latif Butt ◽  
Lihua Zheng ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Real Time ◽  
Low Cost ◽  
Time Division Multiplexing ◽  
Moisture Sensor ◽  
Soil Moisture Sensor ◽  
Time Division

scholarly journals Rancang Bangun Sistem Monitoring Lahan Pertanian Berbasis Mikrokontroler Arduino dan Mobile Web

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Emilyana Varida ◽  
Arif Supriyanto ◽  
Wiwik Kusrini ◽  
Fathurahmani Fathur
Keyword(s):  
Soil Moisture ◽  
Real Time ◽  
Mobile Web ◽  
Moisture Sensor ◽  
Soil Moisture Sensor

Saat ini para petani sayuran dalam menanam jenis sayuran masih menggunakan cara tradisional dan belum memperhatikan kondisi tanah yang sesuai untuk jenis sayuran yang akan mereka tanam, hal ini menyebabkan pertumbuhan sayuran menjadi kurang maksimal. Oleh karena itu diperlukan sebuah sistem yang mampu memberikan informasi kadar tanah dan memberikan rekomendasi jenis sayuran yang cocok untuk ditanami. Sistem yang akan dibangun berbasis mikrokontorler arduino, sensor soil moisture, sensor pH, dan modul ESP8266 yang digunakan untuk mengirimkan data hasil dari pembacaan sensor ke perangkat mobile secara real-time  untuk diproses dan menghasilkan rekomendasi jenis sayuran yang cocok berdasarkan data hasil dari pembacaan sensor. Berdasarkan hasil pengujian, sistem ini telah mampu menampilkan kondisi kelembaban tanah, kadar pH dengan baik dan mampu merekomendasi jenis sayuran sesuai dengan kondisi hasil pembacaan sensor, sehingga harapannya dapat membantu para petani sayuran dalam menentukan jenis sayuran yang akan mereka tanam dan mampu meminimalisir resiko gagal panen. Kata Kunci: Arduino, soil moisture, pH, mobile web

scholarly journals Calibration and Validation of a Low-Cost Capacitive Moisture Sensor to Integrate the Automated Soil Moisture Monitoring System

Agriculture ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. 141 ◽  
Author(s):  
Ekanayaka Achchillage Ayesha Dilrukshi Nagahage ◽  
Isura Sumeda Priyadarshana Nagahage ◽  
Takeshi Fujino
Keyword(s):  
Soil Moisture ◽  
Monitoring System ◽  
Root Zone ◽  
Low Cost ◽  
Gravimetric Method ◽  
Moisture Stress ◽  
Calibration Function ◽  
Moisture Sensor ◽  
Soil Moisture Sensor ◽  
Soil Moisture Monitoring

Readily available moisture in the root zone is very important for optimum plant growth. The available techniques to determine soil moisture content have practical limitations owing to their high cost, dependence on labor, and time consumption. We have developed a prototype for automated soil moisture monitoring using a low-cost capacitive soil moisture sensor (SKU:SEN0193) for data acquisition, connected to the internet. A soil-specific calibration was performed to integrate the sensor with the automated soil moisture monitoring system. The accuracy of the soil moisture measurements was compared with those of a gravimetric method and a well-established soil moisture sensor (SM-200, Delta-T Devices Ltd, Cambridge, UK). The root-mean-square error (RMSE) of the soil water contents obtained with the SKU:SEN0193 sensor function, the SM-200 manufacturer’s function, and the SM-200 soil-specific calibration function were 0.09, 0.07, and 0.06 cm3 cm−3, for samples in the dry to saturated range, and 0.05, 0.08, and 0.03 cm3 cm−3, for samples in the field capacity range. The repeatability of the measurements recorded with the developed calibration function support the potential use of the SKU:SEN0193 sensor to minimize the risk of soil moisture stress or excess water application.

scholarly journals Design and Calibration of a Low-Cost SDI-12 Soil Moisture Sensor

Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 491 ◽  
Author(s):  
Juan González-Teruel ◽  
Roque Torres-Sánchez ◽  
Pedro Blaya-Ros ◽  
Ana Toledo-Moreo ◽  
Manuel Jiménez-Buendía ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Low Cost ◽  
Irrigation Management ◽  
Field Tests ◽  
Limiting Factor ◽  
Design Development ◽  
Rainfall Events ◽  
Moisture Sensor ◽  
Soil Moisture Sensor ◽  
Different Soils

Water is the main limiting factor in agricultural production as well as a scarce resource that needs to be optimized. The measurement of soil water with sensors is an efficient way for optimal irrigation management. However, commercial sensors are still too expensive for most farmers. This paper presents the design, development and calibration of a new capacitive low-cost soil moisture sensor that incorporates SDI-12 communication, allowing one to select the calibration equation for different soils. The sensor was calibrated in three different soils and its variability and accuracy were evaluated. Lower but cost-compensated accuracy was observed in comparing it with commercial sensors. Field tests have demonstrated the temperature influence on the sensor and its capability to efficiently detect irrigation and rainfall events.

scholarly journals Development and integration of soil moisture sensor with drip system for precise irrigation scheduling through mobile phone

2016 ◽  
Vol 8 (4) ◽  
pp. 1959-1965 ◽  
Author(s):  
Jitendra Kumar ◽  
Neelam Patel ◽  
T. B. S. Rajput
Keyword(s):  
Soil Moisture ◽  
Moisture Content ◽  
Mobile Phone ◽  
Real Time ◽  
Soil Moisture Content ◽  
Irrigation System ◽  
Irrigation Scheduling ◽  
Moisture Sensor ◽  
Soil Moisture Sensor ◽  
Level Sensor

Soil moisture sensor is an instrument for quick measurements of soil moisture content in the crop root zone on real time basis. The main objective of this research was development and evaluation of an indigenous sensor for precise irrigation scheduling. The various parts of sensor developed were ceramic cup, acrylic pipe, level sensor, tee, reducer, gland, cork, and end cap. The designed system was successfully tested on okra crop and calibrated with frequency domain reflectometry (FDR) by three methods of irrigation, i.e. check basin, furrow and drip, respectively. The average depth of water depletion in modified tensiometer by these methods was 27 to 35 cm at 50% management allowable depletion (MAD) of field capacity. This depth was useful for the level sensor to be installed inside modified tensiometer for real time irrigation scheduling. The correlation coefficient (R2) between soil moisture content obtained from the developed sensor and FDR was 0.963. Sensor network was integrated with global system for mobile communication (GSM), short message service (SMS) and drip head work to develop an automated irrigation system. This would enable farmers to effectively monitor and control water application in the field by sending command through SMS and receiving pumping status through the mobile phone.

Low-Cost Soil Moisture Sensor Analysis for Agricultural Usage

2019 ◽  
Author(s):  
Anuradha Hadgil ◽  
Apoorva Joshi ◽  
Layak Ali ◽  
S. P. Sajjan
Keyword(s):  
Soil Moisture ◽  
Low Cost ◽  
Moisture Sensor ◽  
Soil Moisture Sensor ◽  
Sensor Analysis

scholarly journals Agrotech: Advanced Field Control

2021 ◽  
Vol 9 (12) ◽  
pp. 175-184
Author(s):  
Samarth Asnani
Keyword(s):  
Soil Moisture ◽  
Real Time ◽  
Climatic Conditions ◽  
Control Element ◽  
Wireless System ◽  
Efficient System ◽  
Moisture Sensor ◽  
Soil Moisture Sensor ◽  
Agricultural Yield ◽  
Rapid Shift

Abstract: Agriculture in most countries is largely dependent on the environmental conditions and climate. Real-time remote monitoring of field conditions allows for early detection of unfavorable conditions developing in the field that is generally a laborious task taken up by the farmers themselves. Additionally, with the rapid shift in climatic conditions and issues pertaining to global warming, the rainfall dependent agricultural yield is promptly affected. In this paper, we present a wireless system using nRF24L01 RF modules to monitor the farm environment conditions and operate the final control element aimed at implementing drip irrigation. The proposed system is designed to be economical and having a capacity for further expansion, allowing the widespread devices across the farm to be controlled. The soil sogginess level is measured by a self-made soil moisture sensor. A ball valve is actuated based on the levels of soil moisture, temperature and humidity checked against a set of predefined levels. The collected data is then pushed onto a cloud platform for future study or use. Keywords: Wireless sensor network, real-time monitoring, nRF24L01 RF module, highly economical and efficient system

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