scholarly journals Agriculture Field Monitor and Auto Control Over Wireless Network IOT

2019 ◽  
Vol 8 (3) ◽  
pp. 4656-4660

Agribusiness assumes to be a significant job in creating nations. In India, most of the population depends upon the country development. Accordingly, the Project goes for impacting horticulture business to splendid using computerization and IOT deployment. Rather than checking the scenario through Web View application in any mobile phone. In this scenario paper, we are using three sensors. The Moisture sensor, estimates the Moisture level of particular plants. The Moisture level is under check continuously and passes data to the Arduino board. It controls the Water Pump ON and OFF according to the Moisture Level of water to the plant. Another primary part of this venture is Light power sensor. It detects the Light Intensity of it, and it sends the data to the microcontroller. Temperature and Moisture sensor procure the information which will be displayed on the LCD and information moves to web server using WIFI module. IoT gets the data and settle on real basic leadership processed by getting various qualities from sensors like soil Moisture, Temperature and light power, water quality and so on. This paper revolves basically around using less water, & limiting the manual work for agriculture, with the goal that we can save time and money

Author(s):  
K. Akanksha

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.


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.


2021 ◽  
Vol 6 (4) ◽  
Author(s):  
Aminu Saleh ◽  
Mohammed S. Kassim

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


2021 ◽  
Vol 4 (2) ◽  
pp. 77-81
Author(s):  
Muhammad Fahim. Obead ◽  
Ihsan Ahmed Taha ◽  
Ahmed Hussein Salaman

Smart farming is one of the keys for future agriculture because it is a management to use modern technology for increasing the quality and quantity of the agriculture. And because of the planet quality depend on the amount of water and the characteristics of soil, it is necessary to study the soil using the soil moisture sensor to investigate whether the soil is dry or wet, also to consider the challenges that could be faced in agricultural environment by maintain the soil and the planets irrigated without extra usage of water. In this paper, a prototype irrigation system uses Arduino Uno microcontroller which is programmed in C++ language to sense the degree of moisture by using soil moisture sensor. According to moisture sensor readings, when the moisture sensor above 1000, Arduino triggers to supply the water by using 5V mini water pump and stop when the soil moisture sensor reading reaches below 400. GSM technology enables the user to be notified in any changes happening in agricultural area by sending SMS (Short Message Service). Whenever the soil become wet or dry and the mini water pump switched on or off, a message delivered to user’s cellular phone indicating the condition of the soil and the action of water pump. In that capacity, this prototype will reduce the time for the user by monitoring remotely without going to his land, and also to reduce the usage of water by allow the water pump to flow the water for limited time until the moisture degree raise again.


Author(s):  
Kenny Philander YR ◽  
Rinto Suppa ◽  
Muhlis Muhallim

This study aims to create an Arduino-based automatic plant watering system, in which the water pump can pump water automatically based on the reading from the soil moisture sensor, which aims to make it easier for people to water plants. This research was conducted at the Palopo City Agriculture Office. The results of this study indicate that users no longer need to water plants manually. In designing an Arduino-based Automatic Plant Watering System, a microcontroller and several components are used, including: Arduino UNO, FC-28 moisture sensor, water pump, relay, 16x2 LCD and breadboard. This tool works by reading data from the soil moisture sensor, if The sensor detects dry soil levels, then the data from the sensor will be read by Arduino. The data that has been read by Arduino will be forwarded to the relay, then the relay will forward the data that will be used to turn on or turn off the water pump


2021 ◽  
Vol 4 (3) ◽  
Author(s):  
Mykola Volodymyrovych Myroshnichenko

The article is devoted to the development of an automated device for plant care at home. The main factors influencing plant development are considered. A comparative analysis of existing devices was made. The growth of plants is influenced by many factors: the level of light, soil moisture, room temperature, carbon dioxide level. When plants are growing indoors, the most important thing is timely watering and access to light. The required amount of light for most plants is 12-18 hours per day. Our country is in the temperate climate zone, so we have 15 hours of light in summer, 13 hours in autumn and spring, and 9 hours in winter. The amount of light in summer is normal, in autumn and spring - within normal limits, but in winter there is a certain lack of light. The lack of natural insolation in winter leads to light starvation of houseplants and reduced intensity of photosynthesis. Therefore, the decrease of the amount of natural light is compensated by artificial light sources. Analysis of the devices on the market has shown that devices that can solve such problems exist, but there is no device with all functions simultaneously. Lighting devices illuminate on a timer, regardless of natural light. Irrigation devices are intended for industrial, not for domestic use. Existing technological solutions for home cultivation have only a warning function: sound or light, which can bring some inconvenience. Looking on these problems, a device is created to maintain the required soil moisture and the required amount of light. The control unit is based on a microcontroller that analyses the data obtained from the sensors and sends the appropriate signals to the climate control devices. The device is equipped with a soil moisture sensor, a light sensor, a real - time sensor, an LED lamp, a water pump, an LED lamp driver, and a control key of water pump. To control soil moisture, a capacitive humidity sensor is used, the advantages of it is the absence of corrosion of metal parts of the sensors that touch the ground. A light meter based on the BH1750 chip is used as a light sensor. This sensor has a wide measuring range, measuring accuracy - 1 lux, small dimensions and the ability to connect to a microcontroller via I2C interface. The DS3231 chip is used as a real-time clock that required to maintain a circadian rhythm close to the natural one for a given plant. An LED strip with red and blue LEDs is used for lighting. The ratio of blue / red LEDs depends on the stage of growth and the type of plant, but it is usually from 1/3 to 1/5. The key that controls the LED strip and the water pump are the MOS transistors. They are silent and allow you to adjust the brightness of the LED strip.


Author(s):  
Akbar Sujiwa ◽  
Oktavianus Hadiwikarta

The development in this era is increasing, humans expect a tool or technology that can help human work, because now technology has become a human need. Therefore, a device that can do watering the wine is made automatically. This tool aims to replace manual work to be automatic. The benefits that can be obtained from this tool is that it can facilitate human work in watering grapes. This tool uses a soil moisture sensor which functions as a soil moisture detector and sends commands to Arduino uno to turn on the relay driver so that the pump can flush water according to soil needs automatically. The making of this final project is done by designing, creating and implementing system components including Arduino uno as a controller, relay drivers for turning on and off the water pump, LCD (Liquid Cristal Display) to display soil moisture values. The results of the research prove that the tool made can function properly and can be developed as expected. The tool can water the vine when the soil humidity is below 50%, and turn off the pump when the soil moisture is above 50%.


2016 ◽  
Vol 8 (4) ◽  
pp. 1959-1965 ◽  
Author(s):  
Jitendra Kumar ◽  
Neelam Patel ◽  
T. B. S. Rajput

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.


1958 ◽  
Vol 36 (5) ◽  
pp. 671-681 ◽  
Author(s):  
J. R. Bray

The distribution of savanna species in relation to light intensity was investigated during ecologic study of the prairie–forest border in Wisconsin. Four thousand intensity measurements were made in 17 stands, of which 915 were taken over sampled quadrats. Measurements were made on clear days during the midday period in July and August with a Weston photometer, and readings from different stands were considered comparable. Light amplitudes were determined by calculating the percentage of a species in the quadrats of each intensity size class. These classes were based on a log 10 scale after schemes of linear and geometric progression indicated curvilinear distributions would most likely result from a log scale. Forty-seven species distributions were calculated, 43 of which showed normal patterning with distinct modes.The log 10 scale was used to show distribution of light intensity in 16 stands along a gradient from prairie to terminal forest.Light distributions of species on two soil moisture levels showed a highly significant tendency for the lower light amplitude to occur on the drier moisture level. This tendency operated for species at all levels of the soil moisture gradient.Possible mechanisms for the species–light distributions were discussed in relation to growth–light curves and to conditions of soil moisture and evaporation which are correlated with or controlled by light intensity.


2021 ◽  
Vol 3 (2) ◽  
pp. 116
Author(s):  
Didik Kurniawan ◽  
Arita Witanti

To increase plant productivity, greenhouse buildings are needed that can protect plants from external factors and integrated with smart systems that can be monitored anytime and anywhere, and can provide optimal plant needs automatically. In this research, a system was built that can monitor greenhouse conditions in real time anywhere through Blynk application with IoT concept, as well as a system that can control output automatically with fuzzy logic method. The focus of control on this research is the duration of watering with Mini Water Pump and light intensity setting with LED Strip. This system is also equipped with FAN that can be active when the temperature is 31°C or more. Parameters used in this system are DHT22 sensor (air temperature and humidity), Soil Moisture sensor, Water Level sensor ,LDR sensor (light intensity) and RTC DS3231 (Real Time Clock), which is controlled with Arduino Mega 2560 microcontroller. In the test results obtained accuracy on fuzzy logic water pump by 93.1% and accuracy on fuzzy logic LED Strip by 99.6%. In the test results of the existing parameters, the results get a fairly optimal reading.


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