scholarly journals Smart Solar Irrigation System

2021 ◽  
Vol 9 (VI) ◽  
pp. 462-465
Author(s):  
Naman Tripathi
Keyword(s):  
Soil Moisture ◽  
Irrigation System ◽  
Vital Role ◽  
Moisture Level ◽  
Moisture Sensor ◽  
Soil Moisture Sensor ◽  
Electricity Cost ◽  
Healthy Growth ◽  
The One ◽  
Opening And Closing

This paper deals with the one of the various innovative ways to irrigate a field or water the plants using solar power. Irrigation is needed in the fields or farms where is less availability of water , since agriculture plays one of the most vital role in increasing or decreasing our country’s economy . An improvising system is needed in order to ensure not even healthy growth of the plant’s but also reduction of the amount of water wasted during such activities. So, this project signifies a Smart solar irrigation system using Arduino, this project helps in opening and closing the water supply according to the moisture level in the soil and the moisture level in soil is calculated by the help of soil moisture sensor which is one of the most important component in this project. The smart solar irrigation system will have zero electricity cost as whole project runs on solar energy beside that it is a farmer-friendly project helps in reduction of cost of the men required in the field to irrigate and most importantly reduces the amount of water wasted in irrigation of the fields.

scholarly journals Crop Cultivation in a Greenhouse using IOT

2021 ◽  
Vol 9 (VI) ◽  
pp. 4432-4437
Author(s):  
K. Akanksha
Keyword(s):  
Soil Moisture ◽  
Crop Yield ◽  
Mobile Phones ◽  
Temperature Sensor ◽  
Moisture Level ◽  
Crop Cultivation ◽  
Moisture Sensor ◽  
Soil Moisture Sensor ◽  
Turn On ◽  
Light Sensor

Nowadays gardening has become a hobby for everyone. Everyone is showing interest in growing their own plants in their houses like terrace farming. So we have decided to do a project which can be useful for everyone even the farmers can be benefitted by our project. In our project we are preparing a greenhouse for cultivating different kinds of crops. Our greenhouse consists of arduino UNO, sensors like (temperature sensor, soil moisture sensor, colour sensor and light sensor), actuators. All these are used in sensing the outside environment and giving signals to arduino so that it sends the signal through GSM module and this GSM module will give us a message alert through our mobile phones like for example if the moisture is less in soil then we will get alert “your moisture has decreased water the plants” so that we can turn on our motor pumps to water. Here we are using thingspeak cloud for coding the arduino through IOT. Our project will also do its watering by itself when the moisture level decreases, this is done by soil moisture sensor. It is very reasonable and complete greenhouse can be constructed under Rs.10,000 which can save lots of money for the farmers. The crop yield will also be very good and this will be useful in increasing the economy of farming.

scholarly journals Design and Development of an Automatic Prototype Smart Irrigation Model

2021 ◽  
pp. 119-127
Keyword(s):  
Soil Moisture ◽  
Water Level ◽  
Irrigation System ◽  
Human Resources Management ◽  
Ultrasonic Sensor ◽  
Moisture Level ◽  
Moisture Sensor ◽  
Soil Moisture Level ◽  
Input Signals ◽  
Crop Field

In the current condition, it is difficult to increase plant development and reduce expenses in agricultural sectors; nevertheless, an advanced thought leads to the use of an automated model that introduces automation in the irrigation system, which can aid in improved water and human resources management. An automated model has been developed using sensors and microcontroller technology, to make the most efficient use of water supply for irrigation. A soil moisture content detector is inserted into the soil of the crops, and an ultrasonic sensor is placed above the soil of the crops to measure the water level after irrigation has begun. A C++ program with threshold values for the moisture sensor was used to start the system in the crop field depending on the soil moisture level, and an ultrasonic sensor was used to control the water in the crop field. The Arduino UNO board is a microcontroller inbuilt of Atmel in the mega AVR family (ATMega328) and the sensors were used to lead the model in turning ON/OFF. A microcontroller was included in this model to run the program by receiving sensor input signals and converting them to soil water content and water level values in the crop field. The microcontroller began by receiving input values, which resulted in an output instructing the relay to turn on the groundwater pump. An LCD screen has also been interfaced with the microcontroller to show the percentage of moisture in the soil, field water level, and pump condition. When the soil moisture level reaches 99 percent and the water level reaches 6 cm after 2.5 and 4 minutes, respectively, the pump is turned off. This model, according to the study, might save water, time, and reduce human effort.

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 Performance Evaluation of a Soil Moisture Sensor

2021 ◽  
Vol 6 (4) ◽  
Author(s):  
Aminu Saleh ◽  
Mohammed S. Kassim
Keyword(s):  
Soil Moisture ◽  
Soil Sample ◽  
Sandy Loam ◽  
Soil Classification ◽  
Fine Sand ◽  
Progressive Increase ◽  
Moisture Level ◽  
Moisture Sensor ◽  
Soil Moisture Sensor ◽  
Sandy Clay

This study was aimed at developing a soil moisture sensor to effectively monitor moisture level for optimum crop growth. The sensor was made using a programmed Arduino microcontroller. It is attached to a sensing panel with two probes made of nickel that measures the volumetric content of water in soil. The probes were non-corrosive and robust material suitable for use in wet surfaces. The developed sensor was tested and evaluated. The two legged Lead (probes) goes into the soil where water content was to be measured by passing current through the soil, and then reads the resistance to get the moisture level. Nine different soil classification samples (Sandy Clay, Fine Sandy Loam, Sandy Loam, Salty Loam, Loamy Sand, Coarse Sand, Fine Sand, Sandy Clay Loam and clay soils) at different depths (3, 6, 9, 12 and 14.3 cm) were used to analyse the moisture meter at three different portion of each soil sample. Results obtained indicates that there was a progressive increase in moisture levels the more the sensor was being dipped into the soil. Results obtained also shows that all the nine soil samples but one (Silt Loam Soil Sample) analysed were within acceptable range of accuracy (0.1 - 5.0 %). The moisture sensor whose cost was approximately #22,300:00 was found to be effective, high precision at less efforts and a suitable guide for farmer for determining soil moisture levels.Keywords- Moisture, Probe, Sensor, Soil Classification

scholarly journals A Greenhouse Monitoring and Crop Prediction System Implemented using Iot, Arduino Uno and Nodemcu

2020 ◽  
Vol 8 (4S5) ◽  
pp. 1-4
Keyword(s):  
Soil Moisture ◽  
Vital Role ◽  
Soil Parameters ◽  
Prediction System ◽  
Greenhouse Soil ◽  
Moisture Sensor ◽  
Soil Moisture Sensor ◽  
Arduino Uno ◽  
Environment Parameters ◽  
Modern Technologies

IoT plays a vital role in modern technologies by connecting objects to internet through which real time values can be . The system is developed using one such technology in greenhouse. The system developed for the purpose of crop prediction in greenhouse. Soil parameters such as pH and moisture, the environment parameters like temperature and humidity is acquired from the implemented system. The required nutrients such as N, P, K is fed to the crops manually is also considered as input for crop prediction. The system is developed with Arduino Uno, NodeMCU ESP8266(WIFI Module), Sensor like DHT Humidity and Temperature DHT11, pH Analogy, Soil Moisture sensor, 12V DC motor for triggering, 12V Relay and a few other components to complete the circuit. Web hosting is done using PHP. The sensors values get stored in data base using MYSQL for further analytics.

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