Smart Greenhouse Design Based Internet of Things (IoT) With Microcontroller Arduino Uno

To achieve the intelligent, scientific management of the family pot, we design a remote intelligent watering system based on Internet of things. Firstly, the collection system of potted environment information is constructed by using soil moisture sensor and air temperature and humidity sensor. Secondly, based on STM32 microcontroller, ESP8266WIFI module and Internet of things technology, the potted information and watering command transmission system is realized. Finally, the web page of the system is developed by using JavaWeb technology and Mina communication framework to achieve the fundamental purpose of real-time display of potted environment information and remote intelligent watering. Tests show that the remote intelligent watering system works stably and has strong practicability, which ensures the healthy growth of family green plants.

Every year, electricity consumption in Indonesia has increased in line with population growth and the national economy. One of the factors causing an increase in electricity consumption in Indonesia, one of which is caused by the lifestyle of modern society which is wasteful in using electricity. Modern society is increasingly using electricity inefficiently. One potential solution to this problem is the use of the Internet of Things (IoT) concept. The Internet of Things, or IoT for short, is a system of connected computing devices whose sole purpose is to maximize the benefits of an internet connection. The system built using the PZEM-004T sensor which is processed by the Arduino Uno microcontroller will be sent to Wemos D1 Mini via serial communication (TX-RX) so that it can be displayed on the BLYNK New IoT application on a smartphone. As for the parameters that will be displayed in the BLYNK application, namely voltage, current, and power usage of electrical devices. By using this application, users will be able to more easily and effectively monitor and how much electrical energy is used by equipment remotely. This equipment has been tested from September to October, on 5 electronic devices such as lights, TVs, refrigerators, rice cookers, fans with satisfactory results, namely being able to monitor the use of electrical devices using smartphones through the blynk application.

The Internet of Things (IoT) is defined by the interconnection between networks of smart devices (objects) through specific communication standards and protocols. Data retrieved from these objects is loaded on cloud servers where it is analyzed, processed and then accessed by users through simple, intuitive, easy-to-use interfaces. The rapid development of IoT applications will steadily increase the demand for skilled personnel in this field. Under these circumstances, the study of IoT basic notions in classrooms becomes a necessity. Using the Arduino and Raspberry Pi development platforms, a wide range of IoT projects can be developed, according to the students' level. These platforms capture environmental data through an extended array of sensors (temperature, light, pressure, humidity, force, acceleration, rotation, sound, IR, magnetic field, etc.), making it perfectly suited to projects development in the educational STEM field (Science, Technology, Engineering and Matemathics). In this study my aim is to show, based on examples, how several IoT projects can be developed in class using the two above mentioned platforms and I emphasize the didactical aspects associated with this study. For the first project I used the Arduino Uno development board, the DHT11 temperature and humidity sensor, and ESP8266 WiFi module, and showed how the ambient temperature and humidity can be monitored via Internet. The data collected by the sensor was processed by Arduino, sent to the WiFi module and further on a cloud server on the IoT ThingSpeak platform where it was stored, analyzed and graphically represented in real time. In the second project I used a Raspberry Pi development board, a mobile robotic platform powered by two electric motors and equipped with a webcam in order to video monitor, via the Internet, a particular perimeter under observation. The robotic platform on which the surveillance camera is located can be positional controlled using a web browser that can access an HTML page built for this purpose. The final part of this study is dedicated to the assessment of the quality of STEM training results by classes of students who have worked on IoT projects compared with classes that have undergone traditional training courses.

This research aims to develop a real-time monitoring system for peatland fire potential based on the Internet of Things (IoT) with a focus on early detection of potential peatland fires. The main problem to be solved is the lack of an effective system in the early detection of potential peatland fires, which can cause serious environmental impacts. The method used involves the use of air temperature, air humidity, soil moisture, and fire detection sensors integrated with alarm-based alerts. Data collection is done in real-time to provide a deeper understanding of peatland conditions and potential fire risks. The research results show that the developed system is capable of providing accurate and fast information related to peatland conditions, thus helping to prevent and reduce the impact of peatland fires. With this system, it is expected to increase efficiency in early fire detection and minimize the losses caused by peatland fires.

This paper presents the design of an IoT based air pollution monitoring system to measure carbon dioxide gas, butane gas, humidity and temperature. The hardware consists of MQ-2 gas sensor, ESP8266 Wi-Fi module, DHT22 temperature and humidity sensors. Meanwhile, the software used in this prototype is the Arduino Integrated Development Environment (IDE) written in function C and C++. The monitoring system indicate air quality is below than 100 AQI for safety air quality and more than 200 AQI for hazardous air quality. The green LED illuminated indicates there is no hazardous gas detected. Meantime, when the butane gas or carbon dioxide gas is identified, the red LED is illuminated. All the data are sent through ThingSpeak and Blynk applications. In ThingSpeak and Blynk applications, the data are displayed and updated after detected by the sensors in every 15 seconds and 1 second. In the Blynk application, when the hazardous gas is detected, the Blynk application sends a notification to alert the users immediately.

India is mostly a farming nation. For most Indian households, agriculture is the most important line of work. It is essential to the growth of an agricultural nation. In India, agriculture accounts for 10% of total exports and roughly 16% of GDP. The primary resource for agriculture is water. Water can be supplied by irrigation, although there can sometimes be significant water waste. Consequently, in order to conserve time and water. Agriculture uses the Internet of Things (IoT) technologies a lot these days. As a result, this article discusses a project that is built on the Internet of Things (IoT) and focuses on the agricultural sector with the aim of reducing water usage in the sector. As a result, this essay discusses a project that leverages the Internet of Things (IoT), where all information can be accessed and managed at the touch of a finger, to reduce water consumption in the agricultural sector. We have an idea for a project called an Automated Plant Watering and Fertilizing with Soil Quality Testing. The proposed method makes use of a variety of sensors that sense the different aspects of the soil, such as temperature, humidity, and soil moisture sensors, automatically irrigate the land by turning the motor on and off depending on the soil moisture value. Key Words: Sensors,PH Sensor,Arduino Board,Temp Humidity Sensor DHT-11,Soil Moisture Sensor,Water Motor, Internet of Things (IOT), Solenoid Valve

ABSTRAK Penelitian ini bertujuan untuk merancang dan membangun smart greenhouse berbasis arduino uno. Jenis penelitian ini merupakan penelitian pengembangan. Smart greenhouse yang dibangun dirancang unuk mengontrol dan memantau kondisi suhu, kelembapan tanah dan intensitas cahaya didalam smart greenhouse. Alat yang dikembangakan menggunakan Arduino uno sebagai mikrokontroler, tiga sensor, tiga aktuator serta satu modul GSM untuk memantau kondisi didalam smart greenhouse. Sensor yang digunakan adalah YL-69 untuk mengukur kelembapan tanah, sensor DHT22 untuk mengukur suhu udara dan Sensor TEMT6000 untuk mengukur intensitas cahaya. Instrumen penelitian yang digunakan berupa lembar validasi dengan 10 butir pertanyaan yang diisi oleh 3 orang validator. Dalam penelitian ini analisis data menggunakan deskripsi kuantitatif. Berdasarkan hasil data yang diperoleh, disimpulkan bahwa rancang bangun smart greenhouse berada pada kategori sangat baik. Hal ini didasarkan pada hasil uji kelayakan alat yang divalidasi oleh 3 orang dosen ahli. Penilaian berdasarkan aspek komponen teknis adalah 100%, lalu penilaian berdasarkan aspek efisiensi adalah 95%, dari aspek ketahanan 91,66% dan aspek estetika adalah 83,33%. Sehingga dapat diambil kesimpulan dari keempat aspek tersebut bahwa media yang dikembangkan berada pada kategori baik dengan persentase rata rata hasil uji kelayakan sebesar 92,5%. Kata kunci : Smart greenhouse, Arduino Uno, Sensor DHT22, Sensor YL-69, Sensor TEMT600, modul GSM900. ABSTRACT This study aims to design and build a smart greenhouse based on Arduino Uno. This type of research is development research. The smart greenhouse that was built was designed to control and monitor the conditions of temperature, soil moisture and light intensity inside the smart greenhouse. The tool developed uses Arduino uno as a microcontroller, three sensors, three actuators and one GSM module to monitor conditions inside the smart greenhouse. The sensors used are YL-69 to measure soil moisture, DHT22 sensor to measure air temperature and TEMT6000 sensor to measure light intensity. The research instrument used was a validation sheet with 10 questions filled in by 3 validators. In this study, data analysis used quantitative descriptions. Based on the data obtained, it is concluded that the smart greenhouse design is in the very good category. This is based on the results of the tool's feasibility test which was validated by 3 expert lecturers. The assessment based on the technical component aspect is 100%, then the evaluation based on the efficiency aspect is 95%, from the durability aspect it is 91.66% and the aesthetic aspect is 83.33%. So it can be concluded from these four aspects that the media developed is in a good category with an average percentage of 92.5% of the feasibility test results. Keywords : Smart greenhouse, Arduino Uno, DHT22 sensor, YL-69, TEMT600, GSM900 module

Every region of India has a significant agricultural sector. The scope of agriculture is reduced across all of India due to a rapid shift in climate and lesser rainfall. The most productive farming should be done without wasting any water. In the conventional technique, more water than what is required by the crop is used to irrigate the area. Modern irrigation systems like drip irrigation, sprinkle irrigation, etc. can reduce water waste. A sophisticated irrigation device’s execution and design are widely accepted in a variety of settings, with the electric device offering the most dependable pricing performance. This paper proposes an IOT based smart irrigation tracking and management system using Arduino Uno microcontroller. The low-cost dependable gadget is designed to irrigate areas when there is a need for water and to provide data. This paper uses Node-Microcontroller ESP8266, DHT11 sensor and soil moisture sensor. The DHT11 sensor has a humidity measuring component and a NTC temperature component. The soil moisture sensor used for measuring the volumetric water content in the soil. The proposed smart irrigation system reduces wastage of water than the traditional process. The information is sent to the farmers by using cloud website called Blynk app. All the data is uploaded by Wi-Fi module inbuilt in microcontroller to Blynk app cloud database.

Nowadays human and computer communication has changed from time to time. The change is aimed at making communication between humans and computers more efficient. Human needs for information and communication are increasing with digital communication, the microcontroller used is Raspberry Pi 3. The traffic conditions are very congested, using a manual system does not work optimally due to the number of undisciplined road users and the increasing amount of volume vehicles every year. Therefore it is very necessary that the LEDs are turned on to reduce the volume density of the vehicle, especially at the intersection, and can control the time of the traffic lights in accordance with the specified time. Internet of Things (IoT) uses Raspberry Pi 3, ESP8266 Wi-fi Module, Sensor RCWL 0516 and Blynk. Raspberry Pi 3 as the main controller uses wireless networks, and makes devices able to communication such as sending and receiving data. The Blynk application is able to provide information in real time as well as remote control monitoring. When the sensor detects, the ESP8266 Wi-fi Module will send traffic density notifications via Smartphone so that it can provide information on road conditions periodically. The purpose of this study is to monitor the condition of the road from a distance so that road users are disciplined in driving and do not commit violations when the red light is on.

Air pollution is a serious problem across the world owing to its substantial influence on the global environment and human health. Many approaches have been conducted by researchers to measure air quality in their regions. One of the approaches is the application of an Internet of Things (IoT), a system of “smart devices” that can monitor and connect with their surroundings and interact with users and other systems. In this paper, an IoT-enabled air pollution monitoring system was proposed. This system was prepared by using gas sensors (DHT 22 and MQ 135), a microcontroller (Arduino Uno), a Wi-Fi module, a cloud database (Blynk), and a smartphone. The air pollution level, temperature, and humidity measurements are collected by the gas sensors and then the data is transmitted to the microcontroller. The microcontroller transmits the data to the cloud through the Wi-Fi module. The Blynk application allows the users to obtain cloud-based air quality data. This application also notifies the users of the status of the air quality in their area via a pop-up message. The users will be notified when the air quality status is unhealthy or very unhealthy and will be able to respond promptly. This proposed system is simple to set up and can operate at any location as needed. Furthermore, the overall cost of this proposed system is minimal, and it can be used for small towns, large parts of countries, even for the large indoor environment like buildings and companies.KeywordsInternet of things (IoT)Air qualityAir pollutant index (API)Smartphone

Agriculture is a crucial sector that faces significant challenges due to climate change, such as altered rainfall patterns, increased temperatures, and extreme weather, which threaten productivity. This research aims to design and develop a weather monitoring and classification tool utilizing the Fuzzy Logic method based on the Internet of Things (IoT). The system integrates sensors for temperature, humidity, air pressure, wind speed, and rainfall, processing the data through Fuzzy Logic to classify weather into sunny, cloudy, light rain, moderate rain, and heavy rain. The results are accessible in real-time via an LCD screen and the Blynk application. Achieving 100% accuracy in monitored conditions, the system operates continuously for 24 hours, powered by solar energy. Unlike traditional systems, this tool provides innovative solutions to weather-related agricultural challenges, enabling farmers to make informed decisions and mitigate losses due to extreme weather. This research contributes to advancing IoT applications in precision agriculture, providing a reliable, sustainable, and scalable solution to weather monitoring.

The three-phase fault detector and analyse system is designed to differentiate the type of fault occur in power system, enhanced with the Internet of Things (IoT) by using the combinations of Arduino and Wi-Fi module. All sorts of electrical substation that supply the electric to the users like industrial or residential may have some failures due to fault that may be temporary or permanent. However, due to problems like system take a longer time to detect the type of fault and also required manually to reset off the fault make the existing protection system not efficient in supply energy to consumer. The system can be used three single phase transformers those are wired in star input and star output also three transformers are connected in star input and delta output that having 240 volts input and 12 volts output. Then, ESP NodeMCU is used as controller and also act as device that connect to the IoT system when fault is detected. The devices then link with the Blynk application User will get the i notification from Blynk application when the fault is occurred Using these devices, user could find automatically after a short-lived interruption in a provisional fault from the tripped situation in case of eternal fault.

This project introduces horticultural methods that have been transformed by the incorporation of Internet of Things (IoT) technology into greenhouse farming, also referred to as the "smart greenhouse", which allows for automation, data-driven decision-making, and real-time monitoring. Our platform offers both a shopping experience and a learning platform by combining the capability of smart IoT-enabled greenhouses with a vast variety of plants. With the help of real-time data insights from modern sensors, we provide a selection of premium plants that flourish in the perfect growing environment, whether they are indoor, outdoor, herbs, or flowers. In addition to our plants, there is an information about the Organic and Synthetic Fertilizers on the platform to be used for the plants with this our educational resources will guide you through appropriate plant care techniques, the function of fertilizers, and how smart technology can improve your gardening experience, regardless of your level of gardening information. This review paper looks into the use of IoT in smart greenhouses with a focus on collecting, processing, and analyzing real-time horticulture data to help plants grow better, produce more crops, use resources more efficiently, and know more about the plants and fertilizers. Key Words: IoT in Agriculture, Eco-friendly Gardening Solutions, Balanced Fertilizers.

The new Covid-19 pandemic is affecting many economic sectors, such as the agricultural industry. The farmers faced many challenging constraints during the pandemic due to the enforcement of the Movement Control Order (MCO), resulting the unproductive crops. This paper proposed smart agriculture adopted with the Internet of Things (IoT) and Low Power Wide Area Networks (LPWAN) technology to be one of the possible solutions for the problems. Early precautions will minimize unproductive crops by monitoring the soil for healthy crops by monitoring the moisture and the pH level of the soil in real time. In this paper, a soil monitoring system using (Long-range) LoRa technology as one of the solutions for LPWAN to monitor the soil for agriculture has been set up. The soil moisture and pH sensors used to monitor the condition of the soil. The monitoring system uses LoRa as the communication network for the two sensors integrated into the Arduino Uno microcontroller as the transmitter and a receiver to monitor the status of the soil. This project enables the user to monitor the soil conditions and control the watering of the crops. The result concludes that this system shows 100% accuracy of the packet data received by the receiver, where the location of transmitter to the receiver was 1.4 meters apart.

Internet of Things (IoT) is a revolutionary technology that represents the future of communication and computing. The field of IoT implementation is vast and can be applied in every field. This project is about to develop an IoT system for Harumanis Farm as agriculture is becoming an essential growing sector throughout the world due to the increasing population. The major challenge in the Harumanis sector is to improve the productivity and quality of Harumanis without continuous manual monitoring. IoT improves crop management, cost-effectiveness, crop monitoring and also improves the quality and quantity of the crop. This IoT system completes with several sensors to monitor the Harumanis farm, such as temperature and humidity sensor, pH level sensor, soil moisture sensor, also nitrogen, phosphorous, and potassium (NPK) sensor. The system is a simple IoT architecture where sensors collect information and send it over the Wi-Fi network to the mobile applications.