scholarly journals Smart Irrigation using IOT and Arduino

2021 ◽  
Vol 9 (VI) ◽  
pp. 4266-4270
Author(s):  
Noora Rakesh
Keyword(s):  
Soil Moisture ◽  
Water Use ◽  
Temperature Sensors ◽  
Water Quantity ◽  
Agricultural Crops ◽  
Threshold Values ◽  
Agriculture Irrigation ◽  
Sensor Information ◽  
Control Water

India is in particular an agricultural country. Agriculture is the maximum vital career for the maximum of the Indian families. It performs essential position withinside the improvement of agricultural country. In India, agriculture contributes approximately 16% of general GDP and 10% of general exports. Water is most important aid for Agriculture. Irrigation is one approach to deliver water but, in a few cases, there could be lot of water wastage. So, on this regard to shop water and time we've got proposed venture titled automated irrigation device the use of IoT the clever irrigation device is evolved to optimize water use and effective agricultural crops. The primary thing required to get desired results are Temperature, Humidity, Light depth and Water. Keeping those parameters in thoughts we have constructed a Smart irrigation device Over IOT the usage of Arduino. This device may be very green for developing edible vegetation with quality. The different vital a part of this venture is that it is completely automatic These days IOT is broadly used in lots of applications. This machine has a dispensed wi-fi community of soil-moisture and temperature sensors placed withinside the root quarter of the plants. In addition, a gateway unit handles sensor information, triggers and transmits sensors records the usage of IOT to a web utility and Android utility. A set of rules became advanced with threshold values of temperature and soil moisture that became programmed into a Arduino primarily based totally gateway to control water quantity.

scholarly journals Farm field monitoring and irrigation automation using IOT

2018 ◽  
Vol 7 (2.26) ◽  
pp. 53 ◽  
Author(s):  
M Vinoth ◽  
G Vithiya
Keyword(s):  
Soil Moisture ◽  
Mobile Application ◽  
Vital Role ◽  
Water Quantity ◽  
Decision Making Process ◽  
Threshold Values ◽  
Direct Estimate ◽  
Soil Moisture Sensors ◽  
Sensor Cloud ◽  
Control Water

The Agricultural farming crops are produced in low qualitydue to lack of knowledge of farmers and crops destroyed by insects. To overcome that, many implemented factors are used. The factors can be temperature,soil,humidity,etc.,In biotechnology,some techniques are used withthe help of IoT. It is mainly used to increase the crops productivity in good quality.Existing related research works on sensor cloud have primarily focused on the challenges that wireless sensor network (WSN)-based applications. A direct estimate of water use by subsurface measurements of soil water content has been limited by the high cost of reliable soil moisture sensors. Using some sensors and techniques water can be irrigated automatically.IOT plays a vital role in smart farming.By using set of specified sensors,the irrigation man-agement can be done properly.The sensed data from the sensors and the irrigation controller are interfaced with Wi-Fi connection. In naive Bayes, by using decision making process the farmer can decide when and where to irrigate with the help of mobile application. An algo-rithm was developed with threshold values of temperature and soil moisture that was programmed into a microcontroller-based gateway to control water quantity.  

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.

Smart Aagricultural Eenvironment Monitoring System using IOT

2018 ◽  
pp. 267-277
Author(s):  
B Keerthana ◽  
Y Mercy Milcah ◽  
V Kalpana
Keyword(s):  
Water Quantity ◽  
The Internet ◽  
Environment Monitoring ◽  
Threshold Values ◽  
Agriculture Sector ◽  
Wide Range ◽  
The World ◽  
Improved Technology ◽  
The Internet Of Things ◽  
Control Water

Agriculture is the chief support of an economy and the pivotal sector for ensuring food security. The agriculture sector recorded satisfactory growth due to improved technology, irrigation, inputs and pricing policies.But now due to migration of farmers from rural to urban there is hindrance in agriculture. To overcome this problem we go for smart agricultural environment monitoring techniques using IOT. The Internet of things (IOT) is remodeling the agriculture enabling the farmers with the wide range of techniques such as precision and sustainable agriculture to face challenges in the field. IOT interconnects human to thing, thing to thing and human to human. IOT enables the objects to be sensed and controlled remotely across existing network model. The paper comprises of sensors that sense the field parameters such as phlevel,temperature, humidity,moisture and fertility in the farm. The sensed values are validated and later sent to the WI-FI module and from WI-FI module the validated data are sent to the farmer’s mobile or laptop using cloud. The farmers are also notified by SMS if the field needs a care. An algorithm is developed with threshold values of temperature, humidity, moisture and fertility that are programmed into a node MCU to control water quantity. Now the farmer can automate the motor from anywhere in the world.

Water Use Features of Typical Crops and Technical Modes of Modern Agriculture Irrigation in China

2018 ◽  
Vol 20 (5) ◽  
pp. 77 ◽  
Author(s):  
Baozhong Zhang ◽  
Zhigong Peng ◽  
Bo Lei ◽  
Lijuan Du ◽  
Lei Wang ◽  
...  
Keyword(s):  
Water Use ◽  
Modern Agriculture ◽  
Agriculture Irrigation

scholarly journals The application of environmental governance for sustainable watershed-based management

2021 ◽  
Author(s):  
Seiichi Kagaya ◽  
Tetsuya Wada
Keyword(s):  
Environmental Protection ◽  
River Basin ◽  
Watershed Management ◽  
Water Use ◽  
Flood Control ◽  
Environmental Governance ◽  
Planning Process ◽  
Environment Assessment ◽  
Control Water

AbstractIn recent years, it has become popular for some of countries and regions to adapt the system of governance to varied and complex issues concerned with regional development and the environment. Watershed management is possibly the best example of this. It involves flood control, water use management and river environment simultaneously. Therefore, comprehensive watershed-based management should be aimed at balancing those aims. The objectives of this study are to introduce the notion of environmental governance into the planning process, to establish a method for assessing the alternatives and to develop a procedure for determining the most appropriate plan for environmental governance. The planning process here is based on strategic environment assessment (SEA). To verify the hypothetical approach, the middle river basin in the Tokachi River, Japan was selected as a case study. In practice, after workshop discussions, it was found to have the appropriate degree of consensus based on the balance of flood control and environmental protection in the watershed.

Water demand and water use efficiency of winter barley in Hungary

2011 ◽  
Vol 59 (1) ◽  
pp. 13-22
Author(s):  
Z. Varga-Haszonits ◽  
E. Enzsölné Gerencsér ◽  
Z. Lantos ◽  
Z. Varga
Keyword(s):  
Soil Moisture ◽  
Water Supply ◽  
Water Use Efficiency ◽  
Water Use ◽  
Potential Evapotranspiration ◽  
Growth Period ◽  
Winter Barley ◽  
Potential Yield ◽  
Yield Data ◽  
Use Efficiency

The temporal and spatial variability of soil moisture, evapotranspiration and water use were investigated for winter barley. Evaluations were carried out on a database containing meteorological and yield data from 15 stations. The spatial distribution of soil moisture, evapotranspiration and water use efficiency (WUE) was evaluated from 1951 to 2000 and the moisture conditions during the growth period of winter barley were investigated. The water supply was found to be favourable, since the average values of soil moisture remained above the lower limit of favourable water content throughout the growth period, except for September–December and May–June. The actual evapotranspiration tended to be close to the potential evapotranspiration, so the water supplies were favourable throughout the vegetation period. The calculated values of WUE showed an increasing trend from 1960 to 1990, but the lower level of agricultural inputs caused a decline after 1990. The average values of WUE varied between 0.87 and 1.09 g/kg in different counties, with higher values in the northern part of the Great Hungarian Plain. The potential yield of winter barley can be calculated from the maximum value of WUE. Except in the cooler northern and western parts of the country, the potential yield of winter barley, based on the water supply, could exceed 10 t/ha.

Development and Evaluation of a Variable-Rate Irrigation Management Method in the Mississippi Delta

2021 ◽  
Vol 64 (1) ◽  
pp. 287-298
Author(s):  
Ruixiu Sui ◽  
Jonnie Baggard
Keyword(s):  
Electrical Conductivity ◽  
Soil Moisture ◽  
Water Use ◽  
Irrigation Water ◽  
Mississippi Delta ◽  
Water Productivity ◽  
Variable Rate ◽  
Irrigation Water Use ◽  
Irrigation Water Productivity ◽  
Variable Rate Irrigation

HighlightsWe developed and evaluated a variable-rate irrigation (VRI) management method for five crop years in the Mississippi Delta.VRI management significantly reduced irrigation water use in comparison with uniform-rate irrigation (URI). There was no significant difference in grain yield and irrigation water productivity between VRI and URI management.Soil apparent electrical conductivity (ECa) was used to delineate irrigation management zones and generate VRI prescriptions.Sensor-measured soil water content was used in irrigation scheduling.Abstract. Variable-rate irrigation (VRI) allows producers to site-specifically apply irrigation water at variable rates within a field to account for the temporal and spatial variability in soil and plant characteristics. Developing practical VRI methods and documenting the benefits of VRI application are critical to accelerate the adoption of VRI technologies. Using apparent soil electrical conductivity (ECa) and soil moisture sensors, a VRI method was developed and evaluated with corn and soybean for five crop years in the Mississippi Delta. Soil ECa of the study fields was mapped and used to delineate VRI management zones and create VRI prescriptions. Irrigation was scheduled using soil volumetric water content measured by soil moisture sensors. A center pivot VRI system was employed to deliver irrigation water according to the VRI prescription. Grain yield, irrigation water use, and irrigation water productivity in the VRI treatment were determined and compared with that in a uniform-rate irrigation (URI) treatment. Results showed that the grain yield and irrigation water productivity between the VRI and URI treatments were not statistically different with both corn and soybean crops. The VRI management significantly reduced the amount of irrigation water by 22% in corn and by 11% in soybean (p = 0.05). Adoption of VRI management could improve irrigation water use efficiency in the Mississippi Delta. Keywords: Soil electrical conductivity, Soil moisture sensor, Variable rate irrigation, Water management.

Determination of the water use of two pairs of soybean isolines differing in stomatal frequency using a heat balance stem flow gauge

1995 ◽  
Vol 75 (1) ◽  
pp. 99-103 ◽  
Author(s):  
C. S. Tan ◽  
B. R. Buttery
Keyword(s):  
Soil Moisture ◽  
Water Use ◽  
Heat Balance ◽  
Sap Flow ◽  
Stomatal Frequency ◽  
Flow Rates ◽  
High Soil Moisture ◽  
Stem Flow ◽  
Glycine Max L

Using heat-balance stem flow gauges, we were able to measure directly and continuously the sap flow rates in two pairs of soybean [Glycine max (L.) Merr.] isolines differing in stomatal frequency. Plants with high stomatal frequency transpired significantly more water than the low stomatal frequency plants at high soil moisture levels. Under low soil moisture levels, the water use rate decreased greatly for the high stomatal frequency plants. Plants with low stomatal frequency were able to maintain greater sap flow rates than those with high stomatal frequency. Higher leaf temperatures associated with the low stomatal frequency plants were likely due to lower transpiration rates which reduced evaporative cooling especially under well-watered conditions. Key words:Glycine max (L.) Merr., transpiration, water deficits

Sign in / Sign up

Export Citation Format

Share Document