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This paper focus on a smart irrigation system which is cost effective and a middle class farmer use it in farm field. Today we are living in 21st century where automation is playing important role in human life. Automation allows us to control appliances automatic control. It not only provide comfort but also reduce energy, efficiency and time savi...
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... Thus, the implementation of effective plans and strategies and the installation of suitable methods for the restoration, management, and development of water resources remains a challenge for society, industry, and agriculture [6]. Furthermore, the development of innovative technologies, such as desalination technologies and smart irrigation systems, to treat and improve water quality and reduce water consumption towards sustainable agriculture is becoming a fundamental goal [7]. Desalination is a promising option for providing freshwater from alternative resources and meeting agricultural needs [8]. ...
Ensuring the sustainability of a product or a system requires a thorough evaluation of its environmental and socioeconomic impacts. In this context, one of the objectives of the EU-PRIMA SmaCuMed project is to evaluate the socioeconomic and environmental impacts of the Smart Cube system. The Smart Cube was developed for the PV-powered desalination of brackish groundwater with membrane capacitive deionization (MCDI) and low-pressure reverse osmosis (LPRO); it additionally uses smart sensors for controlled irrigation in remote agricultural areas in Morocco, as an example for the North African region. Based on the Life Cycle Sustainability Assessment approach, this paper aims to assess the environmental and economic impacts of the Smart Cube, using Life Cycle Costing (LCC) and Life Cycle Assessment (LCA) analyses for environmental evaluation. Various scenarios have been defined for both environmental and economic assessments. Based on 1 m3 of produced desalinated water, the LCC results showed that, when using the desalination technologies directly connected to the grid, the prices are lower than those obtained when it was supplied by the PV system. This is only due to the very low energy prices from the Moroccan grid (EUR 0.10/kWh). The LCC results showed that LPRO is a more cost-effective option for producing desalinated water, with a lower total cost compared to MCDI. However, LCA results indicated that LPRO has a higher environmental impact compared to MCDI. If higher water production capacity is a priority, MCDI connected to PV is the best choice, with lower carbon emission but higher overall water costs.
... Chandan Kumar Sahu dan Pramitee Behera merancang dalam [45] teknologi irigasi cerdas yang bertujuan untuk mengurangi konsumsi air dan mengontrol motor air secara otomatis. Kemudian, arah aliran air dalam pipa akan dipilih tergantung pada sensor kelembaban tanah. ...
... Sistem ini digunakan di daerah terpencil dan memberikan berbagai manfaat bagi para petani. (Chandan Kumar Sahu dan Pramitee Behera, 2015 [45]). ...
Manajemen irigasi yang efisien telah menjadi suatu keharusan untuk memanfaatkan stok air akibat kurangnya sumber daya air di seluruh dunia. Tanaman yang kekurangan air dapat mengalami proses pernafasan yang sulit, yang dapat menyebabkan daun menguning dan permukaan tanah yang retak. Dalam penelitian ini, daun menguning dan permukaan tanah yang retak diamati menggunakan sensor multimedia untuk mendeteksi tingkat kehausan tanaman dalam pertanian cerdas. Kami memodifikasi konsep IoT untuk mengambil inspirasi menuju visi perspektif 'Internet of Multimedia Things' (IoMT). Penelitian ini fokus pada pemanfaatan cerdas sensor Multimedia di pertanian cerdas untuk mengoptimalkan proses irigasi. Konsep pemrosesan citra bekerja dengan sensor IoT dan metode pembelajaran mesin untuk membuat keputusan irigasi. Pembacaan sensor digunakan sebagai set data pelatihan yang menunjukkan tingkat kehausan tanaman, dan teknik pembelajaran mesin, termasuk deep learning mutakhir, digunakan dalam fase berikutnya untuk menemukan keputusan optimal. Percobaan yang dilakukan dalam penelitian ini menjanjikan dan dapat dipertimbangkan dalam sistem irigasi cerdas apa pun. Hasil eksperimen menunjukkan bahwa penggunaan deep learning terbukti unggul dalam lingkungan Internet of Multimedia Things. Kata kunci : Smart farming · Smart irrigation · Internet of things (IoT) · Internet of multimedia things (IoMT) · Multimedia sensors · Multimedia System · Artificial intelligence · Image processing 1. Pendahuluan Pertanian adalah salah satu faktor paling penting yang memengaruhi ekonomi banyak negara. Ini tidak terbatas menjadi bagian dari manfaat nasional, tetapi juga dianggap sebagai gaya hidup [51]. Irigasi adalah proses penyediaan air ke tanah atau tanaman untuk pertumbuhan tanaman dalam lingkungan terbaik [51]. Banyak jenis irigasi digunakan di seluruh dunia, jenis-jenis tersebut didasarkan pada karakteristik biologis tanaman, seperti jenis tanah dan tanaman [51]. Kualitas tanaman didasarkan pada banyak faktor seperti karakteristik proses irigasi, termasuk jumlah air dan waktu irigasi [15]. Ketidakseimbangan irigasi dapat menyebabkan pemborosan air, penyakit pembusukan tanah, daun tanaman menguning, daun tanaman layu, dan banyak masalah lainnya. Oleh karena itu, irigasi cerdas menarik perhatian peneliti dalam dekade terakhir, dan penelitian ini berfokus pada sistem irigasi cerdas yang meningkatkan efisiensi irigasi dibandingkan dengan irigasi tradisional [36]. Sistem irigasi cerdas adalah sistem yang memberikan air kepada tanaman ketika diperlukan dengan jumlah yang dibutuhkan, di lokasi yang tepat, dan pada waktu yang terbaik [18]. Irigasi cerdas diperlukan untuk meningkatkan produktivitas dan meningkatkan kesejahteraan tanaman dibandingkan dengan sistem penyiraman tradisional yang berprinsip pada irigasi berbasis timer yang memberikan air ke tanaman secara acak tanpa umpan balik [41, 43]. Irigasi tradisional dikelola berdasarkan perkiraan petani. Perkiraan tersebut terkadang jauh dari kondisi aktual dan optimal untuk irigasi, sedangkan irigasi cerdas dipantau oleh pembacaan dan fakta aktual yang dapat dipercayai petani untuk menentukan waktu yang tepat dan jumlah air yang akan dipompa ke sistem irigasi tanaman [53]. Pertanian cerdas atau pertanian yang terhubung dapat mendukung berbagai perangkat dan menyediakan layanan pertanian yang lebih cerdas berdasarkan pengetahuan ahli bersama. Pertanian cerdas membantu orang yang memiliki sedikit pengalaman dalam pertanian untuk menanam tanaman atau tanaman demi keuntungan [53]. Pemantauan dan pengendalian tanaman di rumah kaca dan tanaman dalam ruangan adalah
... A Low-Cost Smart Irrigation Control System has been proposed in [14]. In this paper, the author proposed a model where the flow and the direction of water is supervised and controlled. ...
... In summary, the works in [12][13][14][15][16][17][18][19][20][21][22][23] have developed the monitoring and controlling system for farming and agriculture using various method. The project that is proposed for this study is to monitor the chili plants using IoT. ...
The use of IoT applications for agricultural in Malaysia is still low. The farmers are mainly using the traditional method compared to modern agriculture by using advanced technology system like IoT application. However, the use of traditional agriculture requires a lot of work and use of labour. This will result their agricultural system become less efficient and quality of production becoming low. Thus, development of system for monitoring and automation are needed to help farmers to manage their agriculture. This paper focused on development of smart agriculture for monitoring and automation system on chili plants using IoT application. The system is developed using Arduino as microcontroller, soil moisture sensor, DHT11 sensor (temperature and humidity), ultrasonic sensor, servo motor, water pump and ESP8266 (Wi-Fi Module). The Wi-Fi module provides internet access to the local network which allows the system to connect to the system and the mobile phone. Soil moisture sensor used to measure the moisture of soil content. DHT11 sensor was used to measure the temperature and humidity of surrounding area of plants. Ultrasonic sensor was used to measure the height of plants. Servo motor is controlled by automation system via Remote XY Apps to provide the fertilizer to the plants. The water pump also can be controlled by the Remote XY apps as to water the plants. Then, data that was collected from the sensors was sent to user via Remote XY apps where user can control the system that is to turn on the servo motor and water pump to fertilize and water to the plants. Therefore, this system can help farmers to manage their agriculture efficiently and improve their quality and quantity of crops.
... • Rajashekar Reddy Chinta proposed a low cost smart irrigation control system [13]. They used essential smart irrigation tools, including ultraviolet (UV) light disinfection, which is one water treatment system that can be used to remove most forms of microbiological contamination from water. ...
Most individuals don't have enough time in their busy daily schedules to practice gardening, despite the fact that it's essential to making cities green by maintaining rooftop gardens. In this project, we attempted to make gardening considerably simpler. By using this system, anyone can water the plant from anywhere in the world by just clicking their smartphone because it can water rooftop and balcony gardens both manually and automatically via the internet. The required hardware is a NodeMCU ESP8266, a 5V water motor, a 9V battery, a relay module, a rain sensor, a temperature and humidity sensor (DHT11), a soil moisture sensor (V1.2), and a soil moisture sensor (YL-69). This system will simplify things for gardeners who lack the time to water their plants by enabling them to do it from anywhere on earth.
... The study provides a breakdown of the most prevalent nodes and wireless solutions used to implement WSN and Internet of Things-based smart irrigation systems. [4] Current agricultural commercial trends suggest a rise in the proportion of farmers who choose to engage in direct product sales and pursue intelligent approaches to maintain ongoing oversight of the variables that impact product quality. In recent times, there has been a growing trend towards the utilization of cloud-based methodologies for the implementation of smart irrigation systems. ...
Agriculture is a vital part of the Bangladeshi economy since it creates jobs and fuels expansion. But water shortage during the growing season is a serious problem for many farmers in different parts of the world. Low agricultural yields caused by insufficient water availability have a deleterious effect on farmers' incomes and the local economy. In addition, multi-story farming facilities on terraces are crucial in metropolitan areas, where land is rare, to supply the rising demand for agricultural products. However, some people may not be able to commit to terrace gardening because to their lifestyle or work schedule. That's why an effective multi-tiered automated water irrigation system that can keep plants from drying out is so crucial. In order to solve this pressing problem, this study suggests collecting and utilising rainwater efficiently. The suggested technique makes use of sensor technology to equally distribute water according to the individual needs of the location and crop type, reducing water waste and labor expenses. Particularly in metropolitan locations where access to farmland is restricted, this approach has the potential to greatly improve agricultural output and sustainability. The suggested multilayer autonomous water irrigation system has the potential to significantly contribute to the growth of agricultural output while also fostering more environmentally friendly methods of production.
... Kumar Sahu, C.,Behera, P.(2015) [5] proposes a cost effective automated smart irrigation model, which controls the water motor and determines direction of water flow using the functionality of soil moisture sensor. Information about flow and direction is provided to the farmers. ...
A proper usage of a self-watering system is very necessary since plants wither and thus it becomes challenging for them to keep their plants healthy and alive. Amount of water to the plants should be also monitored to avoid wastage of large amounts of water. For this reason, an automatic plant watering and soil moisture monitoring system which encourages the plant growth by giving it exactly the right amount of water and in all climatic conditions is required. In this paper, we proposed an IOT based Node MCU microcontroller system to automate the watering process of the plant to help plants grow directly and efficiently without human care or assistance. Proposed system helps to reduce water use and can be used to save time by using the value of moisture content of plants at a given time to decide a particular plant's water need. Desired amount of water is supplied till it reaches a predefined threshold.
... There are three types of smart irrigation systems fallowed in the industry. Soil moisture based smart irrigation, weather-based smart irrigation [23] [1] [21] and hybrid-based smart irrigation [7] [19]. In all these methods, various parameters like plant type, plant growth, weather condition, infiltration rate and soil type are used to predict irrigation needs of plants using a machine learning algorithm [5]. ...
... This is where the dynamic acceleration caused by motion, shock, or vibrations is monitored. Different bandwidths for three axes can be chosen depending on the application [30]. The X and Y axes have bandwidths ranging from 0.5 Hz to 1600 Hz, while the Z axis has bandwidths ranging from 0.5 Hz to 550 Hz. ...
The condition monitoring of rotating machines for critical applications plays an important role in reducing downtime. With Industry 4.0, the role of IoT in online condition monitoring of electrical machines has gained considerable significance. The main aim of the paper is the use of IoT for online monitoring of motor parameters like current, temperature, vibration, and humidity and observing its online trending using a web server. Data can be accessed in form of graphs and widgets by visiting the web page. The advantage of this project is the real-time monitoring of the motor from any remote area and in case of any abnormality operating personnel can take necessary steps for preventing complete breakdown. The proposed work can help industry people in online monitoring of motors and in the future work can be extended for fault prediction and classification.
... For instance in [30], the authors proposed a way for measuring soil moisture content by monitoring electromagnetic radiation of soil, which depends on sensitivity of microwaves to soil moisture. Impedance soil moisture sensing technology involves inserting separate rods into the soil and changing conductivity by altering water content [31]. This method is based on changing the soil conductivity by changing the water content of the soil. ...
Intelligent management of power and spectrum is the most important ingredient in creating wireless sensor networks with high reliability and longevity. The main application under study in this paper is accurate monitoring of forest ecosystems using high spatio-temporal resolution. High cost of the current systems and their power consumption limits wide spread use of these systems limiting the accuracy of current models. This project utilizes artificial intelligence and machine learning to learn the changes in the wireless network and environment, producing power efficient systems that are low cost to enable large scale monitoring. The proposed system was built at the University of Maine’s Wireless Sensor Networks (WiSe-Net) laboratory in collaboration with University of New Hampshire and University of Vermont researchers for soil moisture measurement with provision to include other sensor types at later stages.
... Chandan kumar sahu [21] presented a cost-effective prototype of an automatic irrigation system which is useful in remote zones. The analysis of experimental data exhibits that the prototype can control the irrigation motor automatically by observing the reading of the soil moisture sensor. ...
