Proposal of the irrigation system using low-cost Arduino system as part of a smart home

Koprda, Štefan; Balogh, Zoltán; Hrubý, D.; Turcam, Milan

doi:10.1109/sisy.2015.7325385

Cited by 19 publications

(4 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The central processing unit (CPU) could be applied to developing wireless connections among two distant locations as well as analyzing information in software GUI platforms using the PIC microcontroller. By utilizing Arduino and the Android OS, an automated management and remote administration for irrigation systems may be created [7]. New technologies built on the GSM (Global System for Mobile) connectivity and wireless communications have been developed in response to the characteristics of irrigation in rural China [8].…”

Section: Related Workmentioning

confidence: 99%

HydroGuard: Automated Plant Care with Intelligent Watering

Kumar Sharma,

Rathod,

Kohli

et al. 2023

IJSREM

View full text Add to dashboard Cite

The increasing demand for efficient and sustainable water resource management in agriculture has led to the emergence of innovative technologies such as the HydroGuard: Automated Plant Care with Intelligent Watering System using the Internet of Things (IoT). This report presents a comprehensive exploration of the design, development, and implementation of a HydroGuard: Automated Plant Care with Intelligent Watering System that harnesses IoT capabilities to optimize irrigation practices. By integrating sensors, actuators, and a central control unit, the system enables real-time monitoring of soil moisture levels, weather conditions, and plant requirements. Leveraging IoT connectivity, data is transmitted and processed to make informed decisions on irrigation scheduling and water distribution. The result is a highly efficient and water-conserving solution that not only enhances crop yield and quality but also contributes to sustainable agriculture practices. This report delves into the technical aspects, benefits, challenges, and potential future developments of HydroGuard: Automated Plant Care with Intelligent Watering Systems, highlighting their role in revolutionizing traditional farming methods and ensuring a more resilient and environmentally conscious approach to food production. Key Words: IoT, Sensor, Irrigation, Automatic, Intelligent, Watering

show abstract

Section: Related Workmentioning

confidence: 99%

HydroGuard: Automated Plant Care with Intelligent Watering

Kumar Sharma,

Rathod,

Kohli

et al. 2023

IJSREM

View full text Add to dashboard Cite

show abstract

“…They utilized Raspberry pi and Arduino for developing such kind of smart system. Koprda et al [4] also proposed a similar kind of smart irrigation system based on the microcontroller concept. Ahouandjinou et al [5] demonstrated the usage of farm pest detection by making use of ultrasonic sensors.…”

Section: Literature Reviewmentioning

confidence: 99%

Smart Agriculture Architecture and Current State in India

Verma

2021

IJTMKP

View full text Add to dashboard Cite

The essential organ of the human body is the brain, consisting of millions and millions of cells. But when these cells form abnormal groups due to their uncontrolled division, it is called a tumor. Brain tumors are further classified into two categories, benign (low-grade tumor) and malignant (high-grade tumor). Brain tumors are the most common life-threatening disease, which leads to immediate death in its highest grade or a very short lifespan. Thus, proper accurate detection and planning are crucial in improving the quality of life of people. In this work, MRI scanned images are used to determine whether the brain has a tumor or not. However, manually differentiating these images may lead to some errors and inaccurate results. Hence these trusted digital automatic classification schemes are nowadays an essential part of diagnosis and detection. Here, CNN architecture is implemented to build a simple model that is efficient in detecting of tumor and non-tumor images. The images are initially preprocessed and normalized, and then a Convolution model with dense layers is built to train and test the dataset. The training dataset accuracy and validation accuracy achieved are 89% and 77%, respectively, and the overall accuracy achieved by the model is 88% in a simple architecture. This advancement in deep learning algorithms has made tumor detection much more efficient, accurate and is a boon to the healthcare industry.

show abstract

“…Automated watering of plants has been the subject of research for the last 30 years (e.g., [42,11]) and commercial products have also emerged [38]. Previous research on enhancing plants in smarthomes seems mainly concerned with automated irrigation based on wireless moisture or soil humidity sensors that determine the condition of plants [2,27]. The goals are the efficient use of water; i.e., to avoid over-hydration and dehydration of plants [27] and to take into account environmental conditions, such as temperature and evaporation rate of water [27].…”

Section: Introductionmentioning

confidence: 99%

“…Previous research on enhancing plants in smarthomes seems mainly concerned with automated irrigation based on wireless moisture or soil humidity sensors that determine the condition of plants [2,27]. The goals are the efficient use of water; i.e., to avoid over-hydration and dehydration of plants [27] and to take into account environmental conditions, such as temperature and evaporation rate of water [27]. Other applications include the notification of inhabitants about moisture levels [45] or the use of robot flowers as an intermediate device for interaction with inhabitants [9].…”

Section: Introductionmentioning

confidence: 99%

Of Smarthomes, IoT Plants, and Implicit Interaction Design

Bittner

Aslan

Dang

et al. 2019

Proceedings of the Thirteenth International Conference on Tangible, Embedded, and Embodied Interaction

View full text Add to dashboard Cite

There seems to be a danger to carelessly replace routine tasks in homes through automation with IoT-technology. But since routines such as watering houseplants also have positive influences on inhabitants' wellbeing, they should be transformed through carefully performed designs. To this end, an attempt to use technology for augmenting a set of houseplants' nonverbal communication capabilities is presented. First, we describe in detail how implicit interactions have been designed to support inhabitants in watering their plants through meaningful interactions. Then, we report on a field study with 24 participants, comparing two alternative design implementations based on contrasting embodied interaction technologies (i.e., augmented reality and embedded computing technology). The study results highlight shortcomings of today's smartphone mediated augmented reality compared to physical interface alternatives, considering measurements of perceived attractiveness and expected effects on determinants of wellbeing, and discusses potentials of combining both modalities for future solutions.

show abstract

Proposal of the irrigation system using low-cost Arduino system as part of a smart home

Cited by 19 publications

References 6 publications

HydroGuard: Automated Plant Care with Intelligent Watering

HydroGuard: Automated Plant Care with Intelligent Watering

Smart Agriculture Architecture and Current State in India

Of Smarthomes, IoT Plants, and Implicit Interaction Design

Contact Info

Product

Resources

About