scholarly journals Sensor based Smart Irrigation System with Monitoring and Controlling using Internet of Things

2021 ◽  
Vol 9 (2) ◽  
pp. 17-26
Author(s):  
Nazmul Hassan ◽  
Sheikh Hasib Cheragee ◽  
Sakil Ahammed ◽  
Abu Zafor Md. Touhidul Islam

This paper presents the development of a sensor based smart irrigation system with the capabilities of remote monitoring and controlling of water usage in the agriculture field using Internet of Things (IoT). With the employment of IoT in irrigation system, all agricultural information can be viewed and controlled at the user's fingertips. The system consists of a microcontroller (Node MCU), sensors (soil moisture, DHT11), and irrigation of a water pump with a decision-making system. Sensors are linked to a Wi-Fi module (Node MCU) and are interdependent to provide increased sensitivity to the irrigation system. The data obtained will be uploaded to the cloud (ThingSpeak) and presented in the form of graphs accessible via the website. A web page is used to control the water pump for irrigation purposes. This paper is managed to meet all of its aims to help farmers in terms of time, project cost, labor, water consumption, power consumption, and reliability by implementing the IoT-based smart irrigation system.

2018 ◽  
Vol 7 (4.5) ◽  
pp. 370 ◽  
Author(s):  
Ashwini B V

In India, agriculture plays an important role for development in food production. In our country, agriculture depends on the monsoons which are not sufficient source of water. So the irrigation is used in agriculture field. Internet of Things (IoT) is a milestone in the evolution of technology. IOT plays an important role in many fields, one of that is Agriculture by which it can feed billions of people on Earth in future. The objective of this paper is aiming to overcome this challenge, the whole system is micro control based and can be operated from remote location through wireless transmission so there is no need to concern about irrigation timing as per crop or soil condition. Sensor is used to take sensor reading of soil like soil moisture, temperature, air moisture and decision making is controlled by user (farmer) by using microcontroller. The data received from sensors are sent to server database using wireless transmission. The irrigation will be automated when the moisture and temperature of the field is reduced. The farmer is notified with the information regarding field condition through mobile periodically. This system will be more useful in areas where there is scarcity of water and will be worth efficient with satisfying its requirements.  


2018 ◽  
Vol 7 (3.1) ◽  
pp. 63 ◽  
Author(s):  
R Revathy ◽  
R Aroul Canessane

Data are vital to help decision making. On the off chance that data have low veracity, choices are not liable to be sound. Internet of Things (IoT) quality rates big data with error, irregularity, deficiency, trickery, and model guess. Improving data veracity is critical to address these difficulties. In this article, we condense the key qualities and difficulties of IoT, which impact data handling and decision making. We audit the scene of estimating and upgrading data veracity and mining indeterminate data streams. Also, we propose five suggestions for future advancement of veracious big IoT data investigation that are identified with the heterogeneous and appropriated nature of IoT data, self-governing basic leadership, setting mindful and area streamlined philosophies, data cleaning and handling procedures for IoT edge gadgets, and protection safeguarding, customized, and secure data administration.  


Author(s):  
Wael Mohammad Alenazy

The integration of internet of things, artificial intelligence, and blockchain enabled the monitoring of structural health with unattended and automated means. Remote monitoring mandates intelligent automated decision-making capability, which is still absent in present solutions. The proposed solution in this chapter contemplates the architecture of smart sensors, customized for individual structures, to regulate the monitoring of structural health through stress, strain, and bolted joints looseness. Long range sensors are deployed for transmitting the messages a longer distance than existing techniques. From the simulated results, different sensors record the monitoring information and transmit to the blockchain platform in terms of pressure points, temperature, pre-tension force, and the architecture deems the criticality of transactions. Blockchain platform will also be responsible for storage and accessibility of information from a decentralized medium, automation, and security.


There is much interest in an autonomous precision irrigation system that can reduce labor and water use and improve productivity in agriculture. This paper explains the design and implementation process of a water pump control for autonomous irrigation by custom scheduling using an open-source Internet of Things platform. Experimental results are presented for demonstrating the proper operation of the automatic irrigation system in an apple orchard.


2018 ◽  
Vol 7 (2.8) ◽  
pp. 503
Author(s):  
T Pavan Kumar ◽  
Satyam Kumar Lala ◽  
Boppana Sravani ◽  
Andru Sandeep

This paper gives a general survey on Crop Field Smart Irrigation Mechanization utilizing web from claiming things. The paper covers details regarding the basics of Internet of Things and also the importance of Agriculture in a country like India. Internet of Things is fundamentally those intercontinental for everyone electronic units through Internet. By this interconnection the devices work in a synchronous way to achieve common goals. It is an evolving technology in the areas of trade, industry, medical and many applications. Many applications of IoT make use of sensors for detecting and activating gadgets helping in sharing of data. Agriculture is one such trade on which the entire nation is dependent. We in brief review the various techniques which will allow the farmers to grow more of their crops and reduce wastage of water by using sensors and automation of the irrigation system. The irrigation of crop fields depends on the data collected by the soil moisture sensors. The review can also be extended by understanding the way light intensity is controlled in greenhouses and also that the farmers can be able to monitor the field conditions from anywhere. This system is very useful in areas with scarcity of water. This sys is 92% more efficient than the conventional approach.


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.


Internet of Things (IoT) is an advanced technology for monitoring and controlling device anywhere in the world. It can connect devices with living things. Agriculture is one of the major sectors which contribute a lot to the financial of India and to get quality product, proper irrigation has to be performed, to reduce man power using modern technology of internet of things IoT in today’s life. Soil moisture is an integral part of plant life, which directly affects crop growth and yield, as well as irrigation scheduling. This system will be a substitute to traditional farming method. We will develop such a system that will help a farmer to know his field status in his home or he may be residing in any part of the world. It proposes an automatic irrigation system for the agricultural lands. Currently the automation is one of the important roles in the human life. It is not only provides comfort but also efficiency and time saving. So here it is also designs a smart irrigation technology by using raspberry pi and connecting to the weather API. Raspberry-pi is the main heart of the whole system. An automated irrigation system was developed to optimize water use for agricultural crops. Automation allows us to control appliances automatically. The objectives of this to control the water motor automatically, To monitor the soil, water level using weather API.A robotized irrigation system framework might have been created should streamline water utilize to agriculture crops. Mechanization permits us with control appliances naturally. Those targets for this on control those water motor naturally monitor the soil, water level utilizing weather API In previously we are using the soil moisture control by using some set of sensors by this water is pumping continuously even though it is rainy.so by this over flow of the water is taken place to overcome this problem we are using the cloud monitoring system based on the weather conditions.


2021 ◽  
Vol 7 ◽  
pp. e578
Author(s):  
Ashutosh Bhoi ◽  
Rajendra Prasad Nayak ◽  
Sourav Kumar Bhoi ◽  
Srinivas Sethi ◽  
Sanjaya Kumar Panda ◽  
...  

In the traditional irrigation process, a huge amount of water consumption is required which leads to water wastage. To reduce the wasting of water for this tedious task, an intelligent irrigation system is urgently needed. The era of machine learning (ML) and the Internet of Things (IoT) brings it is a great advantage of building an intelligent system that performs this task automatically with minimal human effort. In this study, an IoT enabled ML-trained recommendation system is proposed for efficient water usage with the nominal intervention of farmers. IoT devices are deployed in the crop field to precisely collect the ground and environmental details. The gathered data are forwarded and stored in a cloud-based server, which applies ML approaches to analyze data and suggest irrigation to the farmer. To make the system robust and adaptive, an inbuilt feedback mechanism is added to this recommendation system. The experimentation, reveals that the proposed system performs quite well on our own collected dataset and National Institute of Technology (NIT) Raipur crop dataset.


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