A Hybrid Method for Smart Irrigation System (original) (raw)

A Novel Approach for Smart Irrigation System using IoT Techniques

International Journal of Advanced Science and Engineering, 2022

The paper presents a significant index in the evaluation of rural areas by monitoring the conditions of soil and water in agriculture. There are several factors that affect agriculture, which may be lack of water facilities, proper pesticide utilization at the proper time, and sometimes due to the low soil moisture content available in the soil. The soil and water conditions and how they can supply the proper water with respect to time as well as without human intervention. For this, we need some hardware and software integrated together for a final output. The article needs a group of technologies that must be integrated together, like sensor networks, cloud computing, big data, and finally some interfaces to control the things. The farmer can supply the water from time to time, but it needs a power supply to run the motor. For that, it is better to use solar energy because it is renewable energy and can supply energy throughout the day. Finally, the paper forecasts the monitoring of soil, water, and weather conditions in agriculture through a server or mobile application.

Implementation of smart irrigation using IoT and Artificial Intelligence

Mathematical Modeling and Computing

Water management is crucial for agriculture, as it is the primary source of irrigation for crops. Effective water management can help farmers to improve crop yields, reduce water waste, and increase resilience to drought. This can include practices such as precision irrigation, using sensors and technology to deliver water only where and when it is needed, and conservation tillage, which helps to reduce evaporation and retain moisture in the soil. Additionally, farmers can implement water-saving techniques such as crop selection, crop rotation, and soil conservation to reduce their water use. Thus, studies aimed at saving the use of water in the irrigation process have increased over the years. This research suggests using advanced technologies such as IoT and AI to manage irrigation in a way that maximizes crop yield while minimizing water consumption, in line with Agriculture 4.0 principles. Using sensors in controlled environments, data on plant growth was quickly collected. Than...

Automatic Irrigation System using IoT

Climate change and rainfall has been erratic over the past few decades. Due to this in recent era, climatesmart methods called as smart agriculture is adopted by many Indian farmers. Smart agriculture is an automated and directed information technology implemented with IOT (Internet of Things). IOT is developing rapidly and widely applied in all wireless environments. For this, it is done using remote sensing, microprocessors, IoT, DBMS is proposed. The major objective is to get the real-time data and reduce the water that is lost in the irrigation process and reduce the time spent on the field.

A Review Paper on IoT Based Smart Irrigation System

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2019

Automation of farm activities can transform agricultural domain from being manual and static to intelligent and dynamic leading to higher production with lesser human supervision. This paper proposes an automated irrigation system which monitors and maintains the desired soil moisture content via automatic watering. Microcontroller ATMEGA328P on arduino uno platform is used to implement the control unit. The setup uses soil moisture sensors which measure the exact moisture level in soil. This value enables the system to use appropriate quantity of water which avoids over/under irrigation. IOT is used to keep the farmers updated about the status of sprinklers. Information from the sensors is regularly updated on a App using WiFi modem through which a farmer can check whether the water sprinklers are ON/OFF at any given time. Also, the sensor readings are transmitted to a Thing speak channel to generate graphs for analysis.

Smart Irrigation Technique Using IOT

International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022

Agriculture is the main source of food production in our country. In India, agriculture contributes 18% of the country’s Gross Domestic Product (GDP) which employs more than half of the total population. Monitoring of crops depend upon three main factors namely the water supply to the crop, the amount of sunlight received and the humidity. The farmer needs to be informed to take necessary actions before the crops are damaged

IoT-based smart irrigation management system using real-time data

International Journal of Electrical and Computer Engineering (IJECE), 2023

An adequate water supply is essential for the growth and development of crops. When rainfall is insufficient, irrigation is necessary to meet crop water needs. It is a crucial and strategic aspect of economic and social development. To combat climate change, there is a need to adopt irrigation management techniques that increase and stabilize agricultural production while saving water, using intelligent agricultural water technologies. Internet of things (IoT) based technologies can achieve optimal use of water resources. This article introduces a smart realtime irrigation management system based on the internet of things. It provides optimal management of irrigation decisions using real-time weather and soil moisture data, as well as data from precipitation forecasts. The proposed algorithm is developed in real-time based on the IoT, enabling us to guide irrigation and control the amount of water in agricultural applications. The system uses real-time data analysis of climate, soil, and crop data to provide flexible planning of the irrigation system's use. A case study from the Fez-Meknes region in Morocco is presented to demonstrate the proposed system's effectiveness. This is an open access article under the CC BY-SA license.

A study on smart irrigation system using IoT

International Journal of Advance Research Ideas and Innovations in Technology

Agriculture plays an important role in the life of a Gross Domestic Product of every country. It is the backbone of economy of every country. Many problems have been found in this field. As the most serious problem is the shortage of water resources for the present as well as for future generation. It is necessary to adopt some smart techniques to preserve the water. The most highlighted feature of this paper is how smartly and automatically control the water supply to the agriculture fields according to the need. For this, sensors used are soil moisture sensor and DHT-11 temperature sensor. All the information is sent on the farmer mobile application using Wi-Fi Relay Module and Arduino UNO R3.

AUTOMATIC IRRIGATION SYSTEM DESIGN AND IMPLEMENTATION BASED ON IOT FOR AGRICULTURAL DEVELOPMENT

IRJMETS Publication, 2022

Village agriculture is very important in Bangladesh. In emerging nations like our own, agriculture has a significant impact on national GDP. Basically, because of our current circumstances, the monsoons, which are agriculture's primary source of water, are insufficient. The irrigation system is used in agriculture as a solution to this issue. In this technique, the agricultural field will receive water depending on the type of soil. In agriculture, there are two factors to consider: the soil's moisture content and its fertility. There are already a variety of irrigation options available to lessen the demand for rain. An electrical power on/off schedule controls this kind of method. The use of IOT to create a smart irrigation system is covered in this article. Our method uses hydropumps to regulate multiple pumps at once, which saves time and energy. This system will have a significant impact on the national economy if we implement it.

IMPROVISATION OF IRRIGATION SYSTEM IN A SMART WAY USING IOT & CLOUD

IAEME PUBLICATION, 2021

Climate change, starting with the quotation 'SAVE AGRICULTURE'. We use IoT here to monitor the weather and atmospheric changes in the entire growing field by having different systems as clients in different fields, which are reported to the server each time, about the current atmospheric change in that given area. Depending on the field conditions, irrigation and pesticides may be used in this way. The reason for this research is to suggest a smart agriculture. The Internet of Things (IoT)based method for coping with adverse circumstances. IoT based devices like Arduino and Raspberry Pi are used for effective processing and data collection, transferring the information and control yield of productive and profitable crop. the purpose of this work is to implement a system for collecting field data at regular and frequent intervals and reducing manual work.

Review on Controlling and Monitoring of Irrigation System in IOT based smart Agriculture

International Journal of Advanced Trends in Computer Science and Engineering, 2021

Internet of things is a unique worldwide network that can sense and interact with the environment by means of the internet for the communication and interaction between user and other system. Agriculture plays an important role in the growth of a country like India. As population increases day by day, there is a demand of more food. To get good production in fields, irrigation is necessary for healthy crop. Irrigation is also necessary for the soaking up of nutrients by plants from the soil and improves food security. In our country, India many farmers still use the traditional methods of farming. In India most of the irrigation systems are manually operated by farmers. Farmer suffers from irrigation problem due to improper water utilization, erosion and cutting of cannels. These outdated techniques can be replaced with automated techniques using IOT. In IOT based smart agriculture a system is built for controlling and monitoring the crop fields with the help of sensors and automating the irrigation system. Smart agriculture includes smart irrigation based on accurate real time field data like moisture in soil, environment temperature and water level. This system is used to avoid the direct human intervention while implementing the low cost sensors and Internet of things (IOT).