Internet of things based agricultural drought detection system: case study Southern Somalia (original) (raw)
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Drought Detection using Internet of Things
The real-time acquisition and transmission system of agricultural drought data is researched. With the real time acquisition and analysis of agricultural drought data, it can effectively and accurately predict and analyze the agricultural drought data. It has great significance in increasing agricultural production and for promoting agricultural production. Based on Internet of things technology, the sensing layer is distributed in the agricultural infrastructures, real-time data acquisition is realized, the Network transmission layer is used to transmit the agricultural drought data and the Application layer is used to display the data from the sensors in the field.
A long range, energy efficient Internet of Things based drought monitoring system
International Journal of Electrical and Computer Engineering (IJECE), 2020
The climate change and global warning have been appeared as an emerging issue in recent decades. In which, the drought problem has been influenced on economics and life condition in Vietnam. In order to solve this problem, in this paper, we have designed and deployed a long range and energy efficient drought monitoring based on IoT (Internet of Things) for real time applications. After being tested in the real condition, the proposed system has proved its high dependability and effectiveness. The system is promising to become a potential candidate to solve the drought problem in Vietnam.
Flood and Drought Management using IOT
International Journal for Research in Applied Science & Engineering Technology, 2021
Internet" is a very familiar word in today's world. Nowadays whether it is inventions or advancement related to technologies, all are evolving around the internet. In today's era, the Internet has become a source through which people can get connected to the whole world. IoT is being used in various fields in identification and in mitigating the risk. This paper describes the process in which IoT can be used in notifying the people during the floods and can help in minimizing the casualties. The device contains the sensor which senses the water level and will send the data to the cloud, and people can access the data through the applications in their mobile phones. This paper also explains the methods using IoT through which we determine the quantity of water needed by any plant to be irrigated. Using this method, the goal of managing the water in a proper way can be attained.
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
IJERT-An IOT based Smart Irrigation System using Soil Moisture and Weather Prediction
International Journal of Engineering Research and Technology (IJERT), 2020
https://www.ijert.org/an-iot-based-smart-irrigation-system-using-soil-moisture-and-weather-prediction https://www.ijert.org/research/an-iot-based-smart-irrigation-system-using-soil-moisture-and-weather-prediction-IJERTCONV8IS07001.pdf The scarcity of clean water resources around the globe has generated a need for their optimum utilization. Internet of Things (IoT) solutions, based on the application specific sensors' data acquisition and intelligent processing, are bridging the gaps between the cyber and physical worlds. IoT based smart irrigation systems can help in achieving optimum water-resource utilization in the precision farming landscape. This paper presents an open-source technology based smart system to predict the irrigation requirements of a field using the sensing of ground parameter like soil moisture, soil temperature, and environmental conditions along with the weather forecast data from the Internet. The intelligence of the proposed system is based on a smart algorithm, which considers sensed data along with the weather forecast parameters like precipitation, air temperature, humidity, and UV for the near future. The complete system has been developed and deployed on a pilot scale, where the sensor node data is wirelessly collected over the cloud using web-services and a web-based information visualization and decision support system provides the real-time information insights based on the analysis of sensors data and weather forecast data. The paper describes the system and discusses in detail the information processing results of three weeks data based on the proposed algorithm. The system is fully functional and the prediction results are very encouraging.
Internet of things based humidity control and monitoring system
ILKOM Jurnal Ilmiah
This study proposes smart monitoring by utilizing IoT in agriculture which aims to assist farmers in monitoring crops in order to reduce the risk of failure. Quantitative method was employed to collect data from the Soil Moisture Sensor & DHT22 which are to read and write data that can be monitored on a cloud server or csv file to evaluate the risk. This monitoring system is created using the Python programming language by utilizing the Raspberry Pi as a microprocessor. The result of this study is data acquisition that is connected to the internet. Data can be accessed at Thingspeak to show indications and crop yields. Analogue form and indicators of water in soil moisture are indicated by colored marks. Proper monitoring shows more accurate crop data that enable the farmers to prevent crops from drying out. This system is expected to reduce the risk of crop failure as well as increase the agriculture productivity.
IOT Based Weather Monitoring for Agriculture
In agriculture zone, it is necessary to continuously monitor weather conditions so as to plan future activities accordingly. However, using the currently available wired and analog devices may not be easy as well as suggestible as they are very difficult to handle during critical weather conditions. To overcome this problem, we are developing a sensor network, so as to monitor weather changes. Monitoring the weather parameters in agriculture zone is an important aspect of the farming production process. A wireless sensor network is developed as a weather monitoring system for informing farmers about weather changes and provides them with respective guidelines to plan their field. The weather parameters that are being monitored are temperature and humidity. The main aim of the system is to make use of wireless sensor network for sending information over long distances consuming low power. Low power proves to be an advantage,as because of this, the system can be easily installed and managed at locations where hardwiring is impossible or there is no access to electricity. The system put forth in this paper is a well-advanced solution for monitoring the weather conditions at a particular place and make the information available anywhere to the farmers within a click. We are using the technology called Internet of Things (IoT) to connect devices and sensors involved using Internet.
Exploiting IoT and Its Enabled Technologies for Irrigation Needs in Agriculture
Water, 2022
The increase in population growth and demand is rapidly depleting natural resources. Irrigation plays a vital role in the productivity and growth of agriculture, consuming no less than 75% of fresh water utilization globally. Irrigation, being the largest consumer of water across the globe, needs refinements in its process, and because it is implemented by individuals (farmers), the use of water for irrigation is not effective. To enhance irrigation management, farmers need to keep track of information such as soil type, climatic conditions, available water resources, soil pH, soil nutrients, and soil moisture to make decisions that resolve or prevent agricultural complexity. Irrigation, a data-driven technology, requires the integration of emerging technologies and modern methodologies to provide solutions to the complex problems faced by agriculture. The paper is an overview of IoT-enabled modern technologies through which irrigation management can be elevated. This paper presents...
Agricultural Sciences, 2021
Active soil moisture monitoring is an important consideration in irrigation water management. A permanent and readily accessible record of changes in soil moisture can be used to improve future water management decisionmaking. Similarly, accessing stored soil moisture data in near-real-time is also essential for making timely farming and management decisions, such as where, when, and how much irrigation to apply. Access to reliable communication systems and delivery of real-time data can be affected by its availability near production fields. Therefore, soil moisture monitoring systems with realtime data functionality that can meet the needs of farmers at an affordable cost are currently needed. The objective of the study was to develop and fieldtest affordable cell-phone-based Internet of things (IoT) systems for soil moisture monitoring. These IoT systems were designed using low-cost hardware components and open-source software to transmit soil moisture data from the Watermark 200SS or ECH 2 O EC-5 sensors. These monitoring systems utilized either Particle Electron or Particle Proton Arduino-compatible devices for data communication. The IoT soil moisture monitoring systems have been deployed and operated successfully over the last three years in South Carolina.
Wireless Sensor Network To Help Low Incomes Farmers To Face Drought Impacts
2015
This research presents the main ideas to implement an intelligent system composed by communicating wireless sensors measuring environmental data linked to drought indicators (such as air temperature, soil moisture , etc...). On the other hand, the setting up of a spatio temporal database communicating with a Web mapping application for a monitoring in real time in activity 24:00 /day, 7 days/week is proposed to allow the screening of the drought parameters time evolution and their extraction. Thus this system helps detecting surfaces touched by the phenomenon of drought. Spatio-temporal conceptual models seek to answer the users who need to manage soil water content for irrigating or fertilizing or other activities pursuing crop yield augmentation. Effectively, spatiotemporal conceptual models enable users to obtain a diagram of readable and easy data to apprehend. Based on socio-economic information, it helps identifying people impacted by the phenomena with the corresponding sever...