Smart agricultural monitoring using IOT (original) (raw)
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Design of Weather Monitoring Sensors and Soil Humidity in Agriculture Using Internet of Things (IoT)
Transactions on Machine Learning and Artificial Intelligence, 2019
One of the developments in internet technology at the moment is the Internet of things (IoT). IoT is a concept that aims to expand the benefits of internet connectivity that is connected continuously and can monitor a system or object. As for capabilities such as data sharing, remote control, including monitoring a system. Because Indonesia is an agricultural country, this study tries to make a monitoring of a smart farmer system that helps people monitor plants on their farms. This system will monitor weather parameters such as temperature and humidity conditions, as well as soil moisture conditions. If soil moisture is reduced due to heat, then water will automatically be pumped and flow to the plant. Farm owners can also monitor the condition of their plants in real time remotely through the Blynk application media, Facebook website, and Twitter. Based on the test results, the system can measure the environmental conditions of plants, can connect to the internet and be able to send data from sensor measurements to the Blynk application, Facebook website and Twitter. With the development of these systems and devices, it is hoped that the farmers or the community can monitor the environmental conditions of the plants
An Internet-of-Things (IoT) System for Smart Farming and Environmental Management
nternational journal of advanced research in computer and communication engineering, 2023
Over decades, agriculture has seen tremendous revolution. The development of farm machineries such as tractors, harvesters, improved irrigation systems have contributed immensely to food security and sustainable economy. The development of Computers has contributed significantly in improving our daily activities, and agriculture is not an exception. New technology called Internet of Things (IoT) is bringing to light amazing developments in process automation, process control, data collection, and real-time response to events. It has helped in home automation, self-driving cars, Unmanned Aerial vehicles and many more. IoT can be applied in agriculture by means of sensors aimed at field monitoring, disease detection; temperature, humidity and soil moisture monitoring, automatic irrigation system, IoT based drones, farm animals monitoring etc. The change of climate in the Sahel, caused largely by global warming and desertification, has affected so much of production and farm output, we aim in this research to apply IoT technology in climate monitoring such as the temperature and humidity, soil moisture monitoring, crop management, precision farming practice, , farm management using End-to-End Farm Management System. The result shows an interesting output of the variations in temperature, humidity, soil moisture, sunlight levels and probable rain drops in the experiment site. The result were shown directly on the LCD screen attached to the Arduino microcontroller and at the same time transmitted over the internet to the IoT cloud and displayed on the Arduino IoT remote application. This research was implemented on a small part on an irrigation site and can thus be expanded to accommodate larger components for use on large farm site.
IoT based smart farming system
International Journal of Advance Research, Ideas and Innovations in Technology, 2021
Agriculture has become an important growing sector due to the constantly increasing population throughout the world. In the agricultural sector, enhancing farm quality and farm productivity is a massive task without continual record keeping ensuring a high and quickly expanding food demands. Except for the growing population, climate change is a serious concern in the agriculture sector as well. To deal with such situations smart farming system using the cloud and Internet of Things is the best solution proposed in this research work. Smart farming can be used that may offer a collection of useful data i.e temperature, humidity. The Paperwork represent a smart device for farm field tracking that controls soil, humidity, and temperature. Based on these principles, it takes appropriate action after obtaining the sensor readings without human involvement. Soil temperature and moisture are gathered here, and sensed values are processed for future data processing in the cloud.
IoT Based Smart Automated Agriculture and Real Time Monitoring System
IEEE, 2021
In Bangladesh, agriculture is the primary source of income. It has a significant impact on the country's economy. However, agriculture is being hampered these days due to citizens shifting from rural to urban areas. Monitoring environmental factors is not a natural remedy for increasing crop production. Several causes have a significant impact on efficiency. Consequently, to address these issues, agriculture must incorporate automation. A farmer can save time, cost, resources, and energy by using an automated irrigation device. Traditional agricultural irrigation methods necessitate human interference. Human interference can be reduced with automated irrigation technology. We have designed and developed a reliable smart farming system (IoT) to reduce farmers' time costs and resources. Our proposed system can detect temperature, detect the moisture level and water level of the agricultural land, and remotely monitor the land crops. The proposed model sort out into four modules: Water Level Detection Module (WLDM) always detect the water level to avoid drops destruction; Soil Moisture Detection Module (SMDM) calculate the soil moisture level from the land, if the level goes down its start the water pump; Notification Module (NM) is responsible for generating the message service to notify the user if any parameter (Temperature, Soil Moisture, Water) not in well condition; Temperature Detection Module (TDM) is always counting the temperature and humidity of the air if its high then it will start the fan; Cloud and Notification Module (CNM) is handled the user notification through message and remotely monitoring the data of first three modules to take the necessary steps. The result shows the system successfully performed and it can be noted that our proposed can be implemented with any type of environment and agricultural land.
IRJET- Smart Farming and Monitoring System using IoT
IRJET, 2020
Farming is turning into a significant developing segment all through the world because of the expanding populace. A significant test in the agribusiness segment is to improve farm efficiency and the nature of cultivating without ceaseless manual observing to satisfy the quickly developing need for nourishment. Aside from the expanding populace, environmental change is likewise a major worry in the horticultural segment. The reason for this examination work is to propose a smart cultivating strategy dependent on the Web of Things (IoT) to manage unfavorable circumstances. Smart Farming assists with decreasing wastage, viable utilization of manure, and subsequently increment the harvest yield. This paper suggest a architecture which is divided into several layers which help you to examine the soil dampness and temperature, and agriculture field monitoring system which monitors soil humidity and temperature, and also the sensed data can be stored using ThingSpeak cloud for future data analysis.
International Conference on Applied Internet and Information Technologies (ICAIIT 2018), 2018
The exclusion of a man from permanent, routine tasks is the goal of automation. Irrigation is one of the activities that can be automated in a simple and inexpensive way. One possible solution for automatic irrigation of plant crops is shown in this paper (for tomatoes, but the solution is also applicable for cultivation of all other plants, maintenance of lawns, irrigation of orchards, etc.). The solution is realised on Raspberry Pi 3 Rev B platform with connected sensors for temperature and humidity measurement DHT22, temperature sensor DS18b20, soil humidity sensor and 8 relay board. The irrigation management is based on requirements of the technological production of the quantity of the needed water for tomatoes, according to the formed table on the measured soil moisture. All data is recorded in the MySQL database in order to be analyzed and to enable the correction of irrigation norms. Based on the competed experiment results have shown that the external appearance, quality and yield of tomatoes is excellent, as the plants always have optimal soil moisture. Additionally, this is a cheap solution for almost completely autonomous system. The system can be managed via Internet (SSH), as the current state can be controlled via WWW. Only requests are that the Apache server is previously installed and the existence of the wireless connection on Raspberry.
Application of IoT for Developing Sustainable and Smart Farming
Australian Journal of Engineering and Innovative Technology, 2022
Traditional farming is labour-intensive, and the need to constantly check crops may be a strain on farmers. On another side, agricultural yield space is shrinking by the day. So, without a question, managing a huge amount of food that is legally right for us is a very difficult problem for any human being. There may always be a footprint available to meet the high demand. By achieving the idea of smart farming based on new technology by using the Internet of Things (IoT), the authors have presented a strategy in this study work by which a farmer may manage water irrigation, detect the total amount of brightness, and monitor the moisture level of soil and current status of crops using IoT. By utilizing such a technology, the farmer would obtain an auto lighting system, an auto water irrigation system, prohibit external vehicles, and conserve electricity by utilizing real-time data obtained from various types of sensors and utilizing a Wi-Fi system. The suggested system's hardware is all directly linked to the NodeMCU ESP8266. An algorithm has been created to manage the entire project. The solar panel will supply the entire system's necessary electric power, allowing us to save money, conserve electricity, and make the total system more environmentally friendly. This work’s suggested system can identify meteorological conditions that are beneficial to agriculture. This proposed concept has exceptional performance potential as an interface between sensors as input and the IoT as an output medium. The suggested system is compared to other existing systems in a variety of ways.
IoT-oriented software platform applied to sensors-based farming facility with smartphone farmer app
Bulletin of Electrical Engineering and Informatics, 2020
This work describes the design of innovative IoT-oriented farm management system that employs low-cost WSN for detecting soil, environmental and crops parameters that properly processed, in combination with weather forecasts, are used to determine future farming activities based on agronomic models implemented in the software platform. Goals of carried out research activity are to guarantee production both qualitatively and quantitatively of cultivated crops, to increase company income and reduce environmental impacts; achieving these objectives is a prerequisite for implementing of sustainable agriculture. Connection between traditional cropping systems and innovative technologies is achieved through the utilization of low-cost wireless electronic modules for acquiring data from connected sensors. The fertigation system operation is supported by solar-powered low-cost WSN capable of constantly monitoring soil and environmental parameters; thanks to sensor nodes properly positioned in cultivated land or greenhouse, interest parameters of both air and soil are detected and transmitted to on-cloud database, to allow monitoring and remote control from enabled users (farmer or agronomist). For this aim, an application specifically realized and tested during the different fertigation system's functional tests, allows users to visualize and eventually remotely intervene by using a smart-phone or tablet.
International Journal of Engineering and Advanced Technology
The introduction of Internet of Things (IoT) has a significant impact on shaping the communication and internetworking landscapes. The upcoming IoT researches are linked with design of standards and open architectures still requiring a global attention before deployment. The main objective is to design and develop a framework on Internet of Things (IoT) for precision agriculture using Machine learning techniques, where it surges the efficiency in farming by minimizing the loss of water and studying the fertility of the field. Libelium Smart Agriculture is used to connect to the IoT which uses Waspmote module. Waspmote is the plug and sense platform which is programmed using Waspmote IDE configured to connect with the available Local Area Network (LAN). With the help of Machine learning techniques like Classification And Regression Technique (CART) and Linear Support Vector Machine (SVM), the amount of water required by the crops can be estimated. In this paper, various regression su...
Agriculture is the primary occupation in our country for ages. But now due to migration of people from rural to urban there is hindrance in agriculture. So to overcome this problem we go for smart agriculture techniques using IoT. This project includes various features like GPS based remote controlled monitoring, moisture & temperature sensing, intruders scaring, security, leaf wetness and proper irrigation facilities. It makes use of wireless sensor networks for noting the soil properties and environmental factors continuously. Various sensor nodes are deployed at different locations in the farm. Controlling these parameters are through any remote device or internet services and the operations are performed by interfacing sensors, Wi-Fi, camera with microcontroller. This concept is created as a product and given to the farmer's welfare.