Evaluation of a soil moisture sensor to reduce water and nutrient leaching in turfgrass (Cynodon dactylon cv. Wintergreen)

2007 ◽  
Vol 47 (2) ◽  
pp. 215 ◽  
Author(s):  
S. M. Pathan ◽  
L. Barton ◽  
T. D. Colmer
Keyword(s):  
Soil Moisture ◽  
Cynodon Dactylon ◽  
Irrigation System ◽  
Irrigation Scheduling ◽  
Couch Grass ◽  
Moisture Sensor ◽  
Soil Moisture Sensor ◽  
Application Rates ◽  
Controlled Irrigation ◽  
Conventional Irrigation

This study evaluated water application rates, leaching and quality of couch grass (Cynodon dactylon cv. Wintergreen) under a soil moisture sensor-controlled irrigation system, compared with plots under conventional irrigation scheduling as recommended for domestic lawns in Perth, Western Australia by the State’s water supplier. The cumulative volume of water applied during summer to the field plots of turfgrass with the sensor-controlled system was 25% less than that applied to plots with conventional irrigation scheduling. During 154 days over summer and autumn, about 4% of the applied water drained from lysimeters in sensor-controlled plots, and about 16% drained from lysimeters in plots with conventional irrigation scheduling. Even though losses of mineral nitrogen via leaching were extremely small (representing only 1.1% of the total nitrogen applied to conventionally irrigated plots), losses were significantly lower in the sensor-controlled plots. Total clippings produced were 18% lower in sensor-controlled plots. Turfgrass colour in sensor-controlled plots was reduced during summer, but colour remained acceptable under both treatments. The soil moisture sensor-controlled irrigation system enabled automatic implementation of irrigation events to match turfgrass water requirements.

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.

Automatic Irrigation System using Soil Moisture Sensor with Bigdata

2019 ◽  
Vol 67 (3) ◽  
pp. 58-61
Author(s):  
Priyadharshini M ◽  
Sindhumathi U.M ◽  
Bhuvaneswari S ◽  
Rajkamal N ◽  
Arivu Chelvan K.M
Keyword(s):  
Soil Moisture ◽  
Irrigation System ◽  
Moisture Sensor ◽  
Soil Moisture Sensor

scholarly journals Using IoT Innovation and Efficiency in Agriculture Monitoring System

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Muhammad Awais ◽  
Wei Li ◽  
Muhammad Ajmal ◽  
Muhammad Faheem
Keyword(s):  
Artificial Intelligence ◽  
Soil Moisture ◽  
Irrigation System ◽  
End User ◽  
Scientific Methods ◽  
Moisture Sensor ◽  
Soil Moisture Sensor ◽  
Small Fields ◽  
Graphic Elements ◽  
Electronic Messaging

Agriculture is undoubtedly a leading field for livelihoods in China. As the population increases, it is necessary to increase agricultural productivity. By capturing the support and the increment in production on farms, the need for freshwater used for irrigation increases too. Presently, agriculture accounts for 80% of overall water uptake in China. Unexpected overflow of water carelessly leads to waste of water. Therefore we created a programmed plant irrigation system with Arduino that mechanically supplies water to the plants and keeps it updated by transferring the message to user. Plant irrigation system employs the soil moisture sensor which controls a degree of moisture in the soil. If the humidity degree is lower, Arduino activates a pump of water to supply water to the system. The pump of water stops by design when the organism detects sufficient moisture in the ground. Each time the system is switched off or on, an electronic messaging is conveyed to the end-user through the IoT unit, informing the position of the soil moisture and the pump of water. A spray motor and the pump of water are grounded on the crane concept. Widely, this system is applicable for in small fields, gardens farms, etc. This design is entirely programmed and needed no human involvement. Furthermore, transmission of the sensor readings send through a Thing speak frequency to produce graphic elements for better inquiry. This study gathers the ideas of IoT (Internet of Things) with some engineering tools like machinery, artificial intelligence and use of sensors in an efficient way to respond current needs and extraction of resources by availing scientific methods and procedures that work on inputs. Moreover, this study further defines the engineering works that have been part of this field, but it requires more efficiency and reduction of energy as well as costs by adding more contribution of IoT in the field of agriculture engineering

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