Standardized Testing of Soil Moisture Sensors used in "Smart Controller" Irrigation Systems.

2013 ◽  
Author(s):  
Diganta D. Adhikari ◽  
Dave Goorahoo ◽  
David Zoldoske and Ed Norum
Keyword(s):  
Soil Moisture ◽  
Standardized Testing ◽  
Irrigation Systems ◽  
Soil Moisture Sensors

scholarly journals Soil Moisture Sensor-based Systems are Suitable for Monitoring and Controlling Irrigation of Greenhouse Crops

HortScience ◽  
2018 ◽  
Vol 53 (4) ◽  
pp. 552-559 ◽  
Author(s):  
Scott Henderson ◽  
David Gholami ◽  
Youbin Zheng
Keyword(s):  
Soil Moisture ◽  
Crop Production ◽  
Growth Index ◽  
Dry Weight ◽  
Irrigation Systems ◽  
Crop Species ◽  
Moisture Sensor ◽  
Soil Moisture Sensor ◽  
Soil Moisture Sensors ◽  
Microclimate Variation

Sensor-based feedback control irrigation systems have been increasingly explored for greenhouse applications. However, the relationships between microclimate variation, plant water usage, and growth are not well understood. A series of trials were conducted to investigate the microclimate variations in different greenhouses and whether a soil moisture sensor-based system can be used in monitoring and controlling irrigation in greenhouse crop productions. Ocimum basilicum ‘Genovese Gigante’ basil and Campanula portenschlagiana ‘Get Mee’ bellflowers were monitored using soil moisture sensors for an entire crop cycle at two commercial greenhouses. Significant variations in greenhouse microclimates were observed within the two commercial greenhouses and within an older research greenhouse. Evaporation rates were measured and used as an integrated indicator of greenhouse microclimate conditions. Evaporation rates varied within all three greenhouses and were almost double the lowest rates within one of the greenhouses, suggesting microclimates within a range of greenhouses. Although these microclimate variations caused large variations in the growing substrate water contents of containers within the greenhouses, the growth and quality of the plants were unaffected. For example, no significant correlations were observed between the growth of bellflower plants and the average volumetric water content (VWC), minimum VWC, or maximum VWC of the growing substrate. The change in VWC at each irrigation (ΔVWC), however, was positively correlated with the fresh weight, dry weight, and growth index (GI) of the bellflowers. For basil, no significant correlations were observed between plant growth and ΔVWC. This suggests that sensor-based feedback irrigation systems can be used for greenhouse crop production when considerations are given to factors such as the magnitude of microclimate variation, crop species and its sensitivity to water stress, and growing substrate.

scholarly journals Alternatives of IoT Irrigation Systems for the Gardens of Arequipa

2021 ◽  
Vol 15 (22) ◽  
pp. 4
Author(s):  
Jose David Esquicha-Tejada ◽  
Juan Carlos Copa-Pineda
Keyword(s):  
Drinking Water ◽  
Soil Moisture ◽  
Water Consumption ◽  
Potable Water ◽  
Solenoid Valve ◽  
Irrigation Systems ◽  
Advantages And Disadvantages ◽  
Soil Moisture Sensors ◽  
The World ◽  
The Common

Due to the problem of drinking water scarcity in different cities around the world, there are innovative proposals to automate garden irrigation in homes, to reduce drinking water consumption. For this research, a sample of 68 inhabitants of the Region of Arequipa - Peru has been surveyed to know the common habits in the irrigation of the gardens. From this data, two systems have been implemented in two average gardens using the Arduino UNO board (integrating with the Ethernet Shield) and the NodeMCU, each proposal integrates soil moisture sensors, water flow sensor, and actuators, such as the solenoid valve and the relay, besides centralizing the information through an IoT System (Home Assistant or Adafruit IO). This has managed to establish a comparison of both, generating a discussion according to the advantages and disadvantages addressed by each proposal and obtaining a saving of potable water in the irrigation of plants.

scholarly journals A smart Agriculture Irrigation System using sensor array based IOT

2021 ◽  
Vol 2062 (1) ◽  
pp. 012010
Author(s):  
Kola Murali ◽  
B. Sridhar
Keyword(s):  
Soil Moisture ◽  
Irrigation System ◽  
Sensor Data ◽  
Irrigation Systems ◽  
Soil Moisture Sensors ◽  
Agriculture Irrigation ◽  
Smart Agriculture ◽  
Intelligent Irrigation ◽  
Control Water

Abstract The role of Agriculture is important to build a nation, since more than 58% of the population in our country is dependent on agriculture that means half of the population is investing in agriculture. However, many farmers are unfamiliar with intelligent irrigation systems designed to improve the water used for their crops. The proposed system is to precisely monitor the distribution of the water to crops. This IOT based system has a distributed wireless network of soil moisture sensors to monitor soil moisture. Other sensors such as temperature, humidity, rain, IR, LDR, foot. The gateway device also processes the detector’s information and transmits the data to the farmer. An algorithm was developed using threshold values for soil moisture and nutrients, and these values were programmed into a node com-based gateway to control water for irrigation. Complete sensor data is sent to the free cloud using NODEMCU and displayed on websites and apps. This proposed work presents extensive research on irrigation systems in smart agriculture.

scholarly journals Minimum Number of Soil Moisture Sensors for Monitoring and Irrigation Purposes

EDIS ◽  
2013 ◽  
Vol 2013 (7) ◽  
Author(s):  
Lincoln Zotarelli ◽  
Michael D. Dukes ◽  
Marcelo Paranhos
Keyword(s):  
Soil Moisture ◽  
Spatial Variability ◽  
Crop Yield ◽  
Specific Area ◽  
Irrigation Systems ◽  
Fact Sheet ◽  
Soil Moisture Sensors ◽  
Minimum Number ◽  
The Right ◽  
Soil Moisture Variability

Managing soil moisture properly through irrigation is key to increasing crop yield and conserving water. By understanding soil moisture variability, growers can better manage their irrigation systems to apply the right amount of water at the right time. This 4-page fact sheet proposes guidelines for soil moisture sampling that account for spatial variability, which helps to determine the minimum number of soil moisture sensors required to survey and monitor a specific area for irrigation. Written by Lincoln Zotarelli, Michael D. Dukes, and Marcelo Paranhos, and published by the UF Department of Horticultural Sciences, July 2013. http://edis.ifas.ufl.edu/hs1222

scholarly journals An Automated System for Monitoring Soil Moisture and Controlling Irrigation Using Low-cost Open-source Microcontrollers

2015 ◽  
Vol 25 (1) ◽  
pp. 110-118 ◽  
Author(s):  
Rhuanito Soranz Ferrarezi ◽  
Sue K. Dove ◽  
Marc W. van Iersel
Keyword(s):  
Soil Moisture ◽  
Open Source ◽  
Direct Current ◽  
Irrigation System ◽  
Low Cost ◽  
Automated System ◽  
Irrigation Systems ◽  
On Demand ◽  
Soil Moisture Sensors ◽  
Automated Irrigation System

Substrate volumetric water content (VWC) is a useful measurement for automated irrigation systems. We have previously developed automated irrigation controllers that use capacitance sensors and dataloggers to supply plants with on-demand irrigation. However, the dataloggers and accompanying software used to build and program those controllers make these systems expensive. Relatively new, low-cost open-source microcontrollers provide an alternative way to build sensor-based irrigation controllers for both agricultural and domestic applications. We designed and built an automated irrigation system using a microcontroller, capacitance soil moisture sensors, and solenoid valves. This system effectively monitored and controlled VWC over a range of irrigation thresholds (0.2, 0.3, 0.4, and 0.5 m3.m−3) with ‘Panama Red’ hibiscus (Hibiscus acetosella) in a peat:perlite substrate. The microcontroller can be used with both regular 24-V alternating current (AC) solenoid valves and with latching 6- to 18-V direct current (DC) solenoid valves. The technology is relatively inexpensive (microcontroller and accessories cost $107, four capacitance soil moisture sensors cost $440, and four solenoid valves cost $120, totaling $667) and accessible. The irrigation controller required little maintenance over the course of a 41-day trial. The low cost of this irrigation controller makes it useful in many horticultural settings, including both research and production.

Performance of soil moisture sensors in gypsiferous and salt-affected soils

2021 ◽  
Vol 209 ◽  
pp. 200-209
Author(s):  
Adil K. Salman ◽  
Saad E. Aldulaimy ◽  
Huthaifa J. Mohammed ◽  
Yaareb M. Abed
Keyword(s):  
Soil Moisture ◽  
Soil Moisture Sensors ◽  
Salt Affected Soils

scholarly journals Design a Monitoring and Control in Irrigation Systems using Arduino Wemos with the Internet of Things

2021 ◽  
Vol 1 (1) ◽  
pp. 53-64
Author(s):  
Lukman Medriavin Silalahi ◽  
Setiyo Budiyanto ◽  
Freddy Artadima Silaban ◽  
Arif Rahman Hakim
Keyword(s):  
Soil Moisture ◽  
Water Level ◽  
Irrigation System ◽  
Ground Level ◽  
Prototype System ◽  
Monitoring And Control ◽  
Moisture Sensor ◽  
Turn On ◽  
Soil Moisture Sensors ◽  
Level Sensor

Irrigation door is a big issue for farmers. The factor that became a hot issue at the irrigation gate was the irresponsible attitude of the irrigation staff regarding the schedule of opening/closing the irrigation door so that it caused the rice fields to becoming dry or submerged. In this research, an automatic prototype system for irrigation system will be designed based on integrating several sensors, including water level sensors, soil moisture sensors, acidity sensors. This sensor output will be displayed on Android-based applications. The integration of communication between devices (Arduino Nano, Arduino Wemos and sensors supporting the irrigation system) is the working principle of this prototype. This device will control via an Android-based application to turn on / off the water pump, to open/close the irrigation door, check soil moisture, soil acidity in real time. The pump will automatically turn on based on the water level. This condition will be active if the water level is below 3cm above ground level. The output value will be displayed on the Android-based application screen and LCD screen. Based on the results of testing and analysis of the prototype that has been done in this research, the irrigation door will open automatically when the soil is dry. This condition occurs if the water level is less than 3 cm. The calibrated Output value, including acidity sensor, soil moisture sensor and water level sensor, will be sent to the server every 5 seconds and forwarded to an Android-based application as an output display.

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