Remote monitoring systems in greenhouse based on NodeMCU ESP8266 microcontroller and Android

Astutik, Yuliana; Murad,; Putra, Guyup Mahardhian Dwi; Setiawati, Diah Ajeng

doi:10.1063/1.5141286

Cited by 17 publications

(12 citation statements)

References 6 publications

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“…Indonesia is located around the equator, so it has a tropical climate with sunlight distributed evenly throughout the year. As reported by the previous researcher, the daily sunlight intensity usually fluctuates; the value is low in the morning, achieves the highest peak in the afternoon, then decreases in the evening [4]. Therefore, artificial light can be combined with exposure to sunlight to reduce the use of electrical energy in the plant factory.…”

Section: Introductionmentioning

confidence: 92%

Mathematic Modelling of Bok Choy Plant Canopy Area on Different Artificial Light at Plant Factory

Setiawati¹,

Sutiarso²,

Ngadisih³

et al. 2022

Advances in Biological Sciences Research

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In the plant factory, plants carry out the process of photosynthesis using artificial light sources in the form of growth lights instead of sunlight. Each type of lamp will emit light with a different wavelength, so the effect on the photosynthesis process is also different. This study examines the pattern of canopy area expansion on plants in response to the light quality of artificial light in the plant factory. Canopy area of Bok choy (Brassica rapa subsp. Chinensis) plant samples for white LED dan red-blue LED treatments were measured non-destructively every two and three days using the Easy Leaf Area application. The growth data is then modeled using linear and polynomial regression. The results showed that the canopy area of the plant in the plant factory increased with the growth period. The plants exposed to red-blue LED lights grew better than plants exposed to white LED, indicating that red-blue lights supported the photosynthesis process better than white light. The regression results also show that the growth of plants in plant factories with a combination of red-blue LED lights is better in terms of MAPE (Mean Absolute Percentage Error) values. The model validation and prediction are also better using red-blue LED than white LED. Based on prediction using the best regression model, the result shows that red-blue LED as artificial light sources better support plant growth in plant factories than white LED lamps.

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Section: Introductionmentioning

confidence: 92%

Mathematic Modelling of Bok Choy Plant Canopy Area on Different Artificial Light at Plant Factory

Setiawati¹,

Sutiarso²,

Ngadisih³

et al. 2022

Advances in Biological Sciences Research

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“…Many research papers in this domain propose sensors and transducers embedded in microcontrollers integrated wireless transmission with local or cloud databases that translate input data into valuable and efficient information. To mention some of these works are: in [6] proposed a low-cost, simple weather monitoring and controlling system using ESP8266 NodeMCU, in [8] proposed monitoring system for a greenhouse based on NodeMCU ESP8266 and Blynk, in [11] proposed a prosthetic hand control interface using an ESP8266 Wi-Fi module, in [12] proposed a remote medical diagnosis system using NodeMCU ESP8266, in [21] proposed a prototype of micro-hydro monitored remotely using ESP8266 and LabVIEW, in [22] proposed smart monitoring for a pressure regulator based on IoT, in [23] discussed implementation of an industrial level sensor data acquisition and monitoring system using IoT, in [24] provided a sensing and monitoring system based on Thingspeak with Mathlab analysis, and in [25] proposed monitoring and leakage detection system using NodeMCU ESP8266 and Wi-Fi technology.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The application of IoT in the environment as a real-time environment monitoring in [4], [5], as a weather monitoring system in [6]. The application of IoT in agriculture, we can find as a monitoring system in an irrigation system in [7], as a remote monitoring system for a greenhouse in [8]. The application of IoT in health as a patient monitoring system in [9], [10], as a prosthetic hand control in [11], as a remote medical diagnosis system in [12], as a healthcare monitoring system in [13], [14].…”

Section: Introductionmentioning

confidence: 99%

Smart monitoring system using NodeMCU for maintenance of production machines

Pranowo

Artanto

2022

IJEECS

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Maintenance is an activity that helps to reduce risk, increase productivity, improve quality, and minimize production costs. The necessity for maintenance actions will increase efficiency and enhance the safety and quality of products and processes. On getting these conditions, it is necessary to implement a monitoring system used to observe machines' conditions from time to time, especially the machine parts that often experience problems. This paper presents a low-cost intelligent monitoring system using NodeMCU to continuously monitor machine conditions and provide warnings in the case of machine failure. Not only does it provide alerts, but this monitoring system also generates historical data on machine conditions to the Google Cloud (Google Sheet), includes which machines were down, downtime, issues occurred, repairs made, and technician handling. The results obtained are machine operators do not need to lose a relatively long time to call the technician. Likewise, the technicians assisted in carrying out machine maintenance activities and online reports so that errors that often occur due to human error do not happen again. The system succeeded in reducing the technician-calling time and maintenance workreporting time up to 50%. The availability of online and real-time maintenance historical data will support further maintenance strategy.

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“…Dalam penelitian sebelumnya, model Internet of Things (IoT) dalam smart home control digunakan untuk mengontrol beberapa alat elektonik (seperti lampu, kipas angin, dan AC) yang ada di dalam rumah darimanapun dan kapanpun menggunakan koneksi internet (Jabbar dan Kawitkar, 2016). Selain itu, model Internet of Things (IoT) dalam smart home control juga telah dilakukan dengan memanfaatkan aplikasi Blynk untuk memonitor parameter iklim mikro di dalam rumah tanaman (Astutik et al, 2019) Sistem kendali air irigasi berbasis kadar lengas tanah dan IoT belum banyak diaplikasikan pada sektor pertanian di Indonesia. Oleh karena itu, pada penelitian ini dirancang sistem kendali berbasis Internet of Things (IoT) dengan mikrokontroler ESP8266-12E dengan agar petani dapat lebih mudah mengalirkan air ke tanaman dari jarak jauh secara realtime melalui smartphone.…”

Section: Pendahuluanunclassified

Rancang Bangun Sistem Kendali Air Irigasi Menggunakan Aplikasi Smartphone Berbasis Mikrokontroler

Nasarudin

Putra

Abdullah

et al. 2020

JTEP-L

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Petani selama ini melakukan penyiraman tanamannya dengan cara manual, sehingga mengurangi waktu pekerjaan yang lain. Penelitian ini bertujuan merancang sistem kendali air irigasi menggunakan aplikasi smartphone berbasis mikrokontroler serta mengetahui cara kerja dari sistem kendali air irigasi menggunakan aplikasi smartphone berbasis mikrokontroler. Alat dan bahan penelitian ini adalah mikrokontroler ESP8266-12E, smartphone, Soil moisture sensor yl-69, pompa dan tanah. Metode penelitian ini adalah metode experimental dilakukan percobaan dilapangan dengan melalui beberapa tahap penelitian yaitu persiapan, perancangan, kalibrasi alat, pemasangan instalasi irigasi, uji kerja alat, dan pengamatan. Parameter pada penelitian ini adalah kadar air tanah, nilai adc sensor, kalibrasi sensor, waktu beroperasi, debit air, dan tegangan input dan output. Dari hasil yang di peroleh adalah alat bekerja sesuai yang diperintahkan melalui smartphone. Nilai kadar air tanah semakin lama semakin berkurang dikarenakan suatu proses evaporasi, sehingga hasil nilainya dapat diketahui melalui lcd dan smartphone. Rata- rata saat pengiriman data pada hari pertama dan kedua adalah 4.77 detik dan 4.97 detik. Rata-rata debit yang keluar pada hari pertama dan kedua adalah 6,57 ml/detik dan 6,30 ml/detik. Alat berkerja berdasarkan perubaan kadar air tanah yang ditentukakn nilai setting pointnya, apabila sudah mencapai <=70% maka secara otomatis alatnya mengirimkan kondisi kadar air tanahnya ke smarphone dan pada smartphone dilakukan tindakkan balik mengirimkan pesan untuk mengaktifkan pompa, kemudian setelah mencapai >=80% maka secara otomatis alatnya mengirimkan kondisi kadar air tanahnya ke smarphone dan pada smartphone dilakukan tindakkan balik mengirimkan pesan untuk menonaktifkan pompa

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Remote monitoring systems in greenhouse based on NodeMCU ESP8266 microcontroller and Android

Cited by 17 publications

References 6 publications

Mathematic Modelling of Bok Choy Plant Canopy Area on Different Artificial Light at Plant Factory

Mathematic Modelling of Bok Choy Plant Canopy Area on Different Artificial Light at Plant Factory

Smart monitoring system using NodeMCU for maintenance of production machines

Rancang Bangun Sistem Kendali Air Irigasi Menggunakan Aplikasi Smartphone Berbasis Mikrokontroler

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