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 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.

scholarly journals Prototype Alat Penyiram Tanaman Otomatis dengan Sensor Kelembaban dan Suhu Berbasis Arduino

2020 ◽  
Vol 1 (1) ◽  
pp. 21-25
Author(s):  
Shamaratul Fuadi ◽  
Oriza Candra
Keyword(s):  
Soil Moisture ◽  
Air Temperature ◽  
Water Discharge ◽  
Sensor Data ◽  
Water Pump ◽  
Final Project ◽  
Plant Soil ◽  
Control Water

Quality plants are produced by observing soil moisture and plant temperature. Plants humidity and temperature are affected by plant irrigations system. Therefore, this Final Project aims to make a plant sprinklers that can control water discharge according to plant needs. Using the Soilmoisture Sensor which functions as a reader of plant soil moisture and DHT11 as a reader of the air temperature around the plant. Then the relay module functions to activate and deactivate the water pump. LCD is used to display the  data results and the ESP8266 Module is also used as a display of the results of sensor data, which will be sent to the thingspeak.com website

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.

scholarly journals Smart & Green: An Internet-of-Things Framework for Smart Irrigation

Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 190 ◽  
Author(s):  
Nidia G. S. Campos ◽  
Atslands R. Rocha ◽  
Rubens Gondim ◽  
Ticiana L. Coelho da Silva ◽  
Danielo G. Gomes
Keyword(s):  
Soil Moisture ◽  
Irrigation Management ◽  
Management Plan ◽  
Matric Potential ◽  
Outlier Removal ◽  
Temporal Window ◽  
Soil Moisture Sensors ◽  
Management Scheme ◽  
Smart Agriculture ◽  
Different Sources

Irrigation is one of the most water-intensive agricultural activities in the world, which has been increasing over time. Choosing an optimal irrigation management plan depends on having available data in the monitoring field. A smart agriculture system gathers data from several sources; however, the data are not guaranteed to be free of discrepant values (i.e., outliers), which can damage the precision of irrigation management. Furthermore, data from different sources must fit into the same temporal window required for irrigation management and the data preprocessing must be dynamic and automatic to benefit users of the irrigation management plan. In this paper, we propose the Smart&Green framework to offer services for smart irrigation, such as data monitoring, preprocessing, fusion, synchronization, storage, and irrigation management enriched by the prediction of soil moisture. Outlier removal techniques allow for more precise irrigation management. For fields without soil moisture sensors, the prediction model estimates the matric potential using weather, crop, and irrigation information. We apply the predicted matric potential approach to the Van Genutchen model to determine the moisture used in an irrigation management scheme. We can save, on average, between 56.4% and 90% of the irrigation water needed by applying the Zscore, MZscore and Chauvenet outlier removal techniques to the predicted data.

scholarly journals Proposals of Universal Algorithms for the Automation of the Irrigation Process of Plant Crops

2021 ◽  
Vol 25 (1) ◽  
pp. 115-124
Author(s):  
Paweł Chwietczuk
Keyword(s):  
Irrigation System ◽  
Irrigation Management ◽  
System Construction ◽  
Correct Operation ◽  
Field Crops ◽  
Soil Moisture Sensors ◽  
Construction Scheme ◽  
Relative Water ◽  
Intelligent Irrigation

Abstract The article presents the issues of water saving, declining freshwater resources in the world, and the problems of drought in the context of proper and effective irrigation of various types of crops. The use of microprocessor irrigation management systems has a significant impact on the quality of the yield and the rational use of water. An example of the irrigation system construction scheme is presented. The system uses strain gauge soil moisture sensors, which can be used to determine the relative water demand of plants, depending on the growing substrate. Additional system security in the form of rainfall and wind speed sensors provide the necessary information for the correct operation of the irrigation system. Then, two universal algorithms were proposed to automate the irrigation process of plant crops due to the way water is supplied to the plants. The first algorithm is designed for systems using drip lines - they are widely used in various types of crops where there is a need to precisely supply water to the plant, such systems are destined especially for crops grown undercover or for nursery crops. The second algorithm for sprinkler-based systems is mainly used in field crops and in mushroom farms. The presented algorithms can be used to design and implement intelligent irrigation systems, and after adding an additional module – for plant fertilization.

scholarly journals Physiological response of sweet corn (Zea mays Ls.) grown under sandy soil to α-tocopherol treatments and different irrigation systems

2021 ◽  
Vol 45 (1) ◽  
Author(s):  
Elham Abd Elmoneim Badr ◽  
Mervat Shamoon Sadak ◽  
Gehan Shaker Bakhoum ◽  
Howida Hassan Ahmed Khedr
Keyword(s):  
Field Experiments ◽  
Sweet Corn ◽  
Irrigation System ◽  
Growth Yield ◽  
Sprinkler System ◽  
Growth Indices ◽  
Irrigation Systems ◽  
Corn Plants

Abstract Background Antioxidants or vitamins are organic compounds that are needed in tiny quantities and have stimulatory role on growth and productivity of different plants. Two field experiments were conducted in two summer seasons to investigate the role of two irrigation systems (spraying and dripping) and α-tocopherol foliar treatment with different concentrations (0, 100 and 200 mg/L) on some growth indices and physiological aspects, yield and its components of sweet corn plants. Results The results show that dripping irrigation system was more effective than Sprinkler system on increasing the studied growth indices and biochemical attributes as well as yield quantity and quality. The results also show the enhancing effect of different α-tocopherol treatments on growth indices, and yield quantity and quality of the sweet corn varieties via enhancing photosynthetic pigments, indole acetic acid, phenolics, carbohydrates constituents, free amino acids and proline contents. Moreover, the interaction between the two irrigation systems and different concentrations α-tocopherol showed that, dripping irrigation with 200 mg/L α-tocopherol was the most effective treatment on increasing growth, yield and yield components of sweet corn plants. Conclusion It could be concluded that dripping irrigation system was more effective than Sprinkler system on increasing the studied growth indices and physiological aspects, yield and its constituents. Moreover, treatment of maize plant with α-tocopherol could improve the studied growth indices, physiological aspects and consequently yield.

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.

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