An IOT-Based Soil Moisture Management System for Precision Agriculture: Real-Time Monitoring and Automated Irrigation Control
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Smart Computing Paradigms: New Progresses and Challenges pp 303–310 Cite as
An IoT-Based Smart Plant Monitoring System
- S. V. Athawale 20 ,
- Mitali Solanki 20 ,
- Arati Sapkal 20 ,
- Ananya Gawande 20 &
- Sayali Chaudhari 20
- Conference paper
- First Online: 01 December 2019
446 Accesses
6 Citations
Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 767))
In this modern era of fast-moving technology, we can do things which we could never do before and to do these tasks there is a necessity to build a platform to perform these tasks. The proposed system puts forth the home automation technique for smart plant watering system. A smartphone empowers the user to be updated with their current garden status using IoT from any part of the world. The system uses Node ESP8266 as the microcontroller interfacing unit.
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Acknowledgements
The authors would like to thank the reviewers for their suggestions and remarks for improving the paper content. We also extend our gratitude to the guide and mentor Prof. S. V. Athawale for sharing his wisdom and providing an insight that assisted the project.
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Department of Computer Engineering, AISSMS College of Engineering, Pune, India
S. V. Athawale, Mitali Solanki, Arati Sapkal, Ananya Gawande & Sayali Chaudhari
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Correspondence to S. V. Athawale .
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Faculty of Engineering, Aksaray University, Sağlık, Aksaray, Turkey
Atilla Elçi
Department of Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela, Odisha, India
Pankaj Kumar Sa
National Institute of Technology Goa, Goa, India
Chirag N. Modi
CICESE, Ensenada, Baja California, Mexico
Gustavo Olague
Manmath N. Sahoo
Sambit Bakshi
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Athawale, S.V., Solanki, M., Sapkal, A., Gawande, A., Chaudhari, S. (2020). An IoT-Based Smart Plant Monitoring System. In: Elçi, A., Sa, P., Modi, C., Olague, G., Sahoo, M., Bakshi, S. (eds) Smart Computing Paradigms: New Progresses and Challenges. Advances in Intelligent Systems and Computing, vol 767. Springer, Singapore. https://doi.org/10.1007/978-981-13-9680-9_26
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DOI : https://doi.org/10.1007/978-981-13-9680-9_26
Published : 01 December 2019
Publisher Name : Springer, Singapore
Print ISBN : 978-981-13-9679-3
Online ISBN : 978-981-13-9680-9
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Abstract: Soil fertility is an important factor in. determining soil quality as it reflects how well the soil can. support plant growth in agriculture. Soil sensor a nd. Arduino can b e used to ...
This research paper proposes an innovative ML-enabled IoT device to monitor soil nutrients and provide accurate crop recommendations. The device utilizes the FC-28 sensor, DHT11 sensor, and JXBS-3001 sensor to collect real-time data on soil composition, moisture, humidity, temperature, and for nutrient levels. ... IoT-based soil monitoring ...
Recent research and development show an On-field soil property monitoring system. Furthermore, internet-based soil fertility monitoring aids farmers in increasing productivity and optimizing resources. This paper presents the prototype based on a smart soil fertility prediction system based on the Internet of Things (IoT).
The IoT-based system is designed for measurement of real-time soil parameters. Five sensor nodes are implemented and installed at five different places as shown in Table 3.2. The samples are taken in the morning, and the parameters, namely pH, EC, humidity and moisture are measured at 31°C temperature.
In order to provide optimal and integrated data collection, the purpose of this article is to outline a real -time soil monitoring system that may be used on agricultural farmlands. In order to accomplish this goal, the research will concentrate on agricultural farmlands. Real-time monitoring, which provides information that is accurate and up to date on the state of the crop and the soil, is ...
Soil fertility is an important factor in determining soil quality as it reflects how well the soil can support plant growth in agriculture. Soil sensor and Arduino can be used to quickly determine the nutrient content of the soil. Nitrogen, phosphorus, and potassium are all considered as important nutrient source components. These components should be measured in order to determine how much ...
So complete monitoring of soil for temperature and humidity control is required. Because of high humidity, the chances of disease are increasing. Water also affects the growth of crops. This IoT-based automated project for measuring soil quality will help farmers achieve higher crop growth in soil.
The proposed system is an IoT-based crop monitoring system using Global System for Mobile communication (GSM) technology. The paper presents an overview of various soil sensors used to measure temperature, moisture, and humidity. Information from the sensors on the ground is displayed in the android app which is very helpful in making ...
Soil nutrients assessment has great importance in horticulture. Implementation of an information system for horticulture faces many challenges: (i) great spatial variability within farms (e.g., hilly topography); (ii) different soil properties (e.g., different water holding capacity, different content in sand, sit, clay, and soil organic matter, different pH, and different permeability) for ...
Agriculture plays an indispensable role in India's development and prosperity as it employs a large portion of a country's occupation. Agricultural development is crucial for overall economic growth. As a result, smart farming is essential with modern technologies to enhance agricultural development. Here, a Wireless Sensor Network is designed and developed to collect and send the temperature ...
IoT based monitoring of soil properties. IoT coupled technologies with smart sensors can monitor various aspects of farm soil that are critical to plant growth and development. IoT can sense soil moisture, temperature, and nutrient contents and these information can be provided to the farmers [62]. These data can be calibrated and remotely ...
This research presents a novel system for the application of IoT technology in agricultural soil measurements, which consists of multiple sensors (temperature and moisture), a micro-processor, a ... Yang Weizhong et al. developed an NB IoT-based soil moisture monitoring system which realizes the real-time monitoring of soil moisture [16].
1Rajalakshmi S, 2Vinodhini P, 3Ragavendar S, 4Sakthivel R. Abstract: In this paper, we will learn about IoT Based Soil Nutrient Monitoring & Analysis systems using Arduino & ESP8266. Soil is the base of agriculture. Soil provides nutrients that increase the growth of a crop.
Managing soil moisture is crucial for optimizing crop growth and yield in agriculture. With the advancements in Internet of Things (IoT) technology, innovative soil moisture monitoring and control solutions have emerged. This paper presents a pioneering IoT -based soil moisture management system tailored for precision agriculture within Siksha 'O' Anusandhan (SOA) University. The system ...
The soil monitoring system consists of two parts, the sensing layer and the network layer. The system structure diagram, as shown in Figure 3. The sensing layer mainly includes hardware such as each sensor of the soil. The sensing layer is similar to the human sensory organs in relation to the Internet of Things, and is mainly used to
The proposed system puts forth the home automation technique for smart plant watering system. A smartphone empowers the user to be updated with their current garden status using IoT from any part of the world. The system uses Node ESP8266 as the microcontroller interfacing unit. Download conference paper PDF.
6. Results and analysis Fig. 4 shows the complete hardware setup for proposed system. The results show that the soil moisture monitoring and the watering system based on ARM and Internet of things has been successfully developed. Fig. 4. the complete setup of ARM and IoT based soil moisture monitoring and watering system. Fig. 5. the web ...
Md. Reazul Islam Khondokar Oliullah Md. Mohsin Kabir Munzirul Alom M. F. Mridha. Agricultural and Food Sciences, Computer Science. Journal of Agriculture and Food Research. 2023. 1. Semantic Scholar extracted view of "An IoT Based User Authenticated Soil Monitoring System" by V. Dixit et al.