Monitoring and Automatic Control of various Parameters for Mushroom Farming

Suresh, M.; Srinivasan, Mahesh; Shankar, S.; Karthikeyan, D; Nakhul, V; Kumar, Ankit; Sundar, S. Shyam; Maniraj, P.

doi:10.1088/1757-899x/1055/1/012011

Cited by 6 publications

(3 citation statements)

References 13 publications

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“…Previous studies listed a wide range of those key parameters [13], but the two most important ones that are worth regarding are air temperature and humidity, while several studies further considered light intensity or carbon dioxide (CO 2 ) levels. The ideal ranges for these parameters vary depending on different mushroom species [7,37], and they can be easily, timely, and automatically observed and controlled in the greenhouse using IoT sensors, which have been widely reported in the literature as the common approach for indoor mushroom management. Alongside the development of computer vision and precision agriculture technologies, high-resolution cameras associated with AI-based image processing have been successfully applied in the mushroom industry to enhance management accuracy and efficiency [38].…”

Section: Smart Greenhouse Mushroom Cultivationmentioning

confidence: 99%

An Integrated IoT Sensor-Camera System toward Leveraging Edge Computing for Smart Greenhouse Mushroom Cultivation

Nguyen,

Shin,

Jung

et al. 2024

Agriculture

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Industrial greenhouse mushroom cultivation is currently promising, due to the nutritious and commercial mushroom benefits and its convenience in adapting smart agriculture technologies. Traditional Device-Cloud protocol in smart agriculture wastes network resources when big data from Internet of Things (IoT) devices are directly transmitted to the cloud server without processing, delaying network connection and increasing costs. Edge computing has emerged to bridge these gaps by shifting partial data storage and computation capability from the cloud server to edge devices. However, selecting which tasks can be applied in edge computing depends on user-specific demands, suggesting the necessity to design a suitable Smart Agriculture Information System (SAIS) architecture for single-crop requirements. This study aims to design and implement a cost-saving multilayered SAIS architecture customized for smart greenhouse mushroom cultivation toward leveraging edge computing. A three-layer SAIS adopting the Device-Edge-Cloud protocol, which enables the integration of key environmental parameter data collected from the IoT sensor and RGB images collected from the camera, was tested in this research. Implementation of this designed SAIS architecture with typical examples of mushroom cultivation indicated that low-cost data pre-processing procedures including small-data storage, temporal resampling-based data reduction, and lightweight artificial intelligence (AI)-based data quality control (for anomalous environmental conditions detection) together with real-time AI model deployment (for mushroom detection) are compatible with edge computing. Integrating the Edge Layer as the center of the traditional protocol can significantly save network resources and operational costs by reducing unnecessary data sent from the device to the cloud, while keeping sufficient information.

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Section: Smart Greenhouse Mushroom Cultivationmentioning

confidence: 99%

An Integrated IoT Sensor-Camera System toward Leveraging Edge Computing for Smart Greenhouse Mushroom Cultivation

Nguyen,

Shin,

Jung

et al. 2024

Agriculture

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“…Meskipun begitu, budidaya jamur juga dimungkinkan di daerah dengan ketinggian rendah, asalkan lingkungan budidaya diatur dengan memperhatikan kebutuhan optimal pertumbuhan jamur [10]. Faktor-faktor yang mempengaruhi pertumbuhan jamur termasuk suhu dan kelembaban udara, kelembaban media tanam, kadar CO2, dan intensitas cahaya [11]. Mengendalikan lingkungan kumbung jamur secara manual memiliki kendala terkait waktu dan kesulitan.…”

Section: Pendahuluanunclassified

Implementasi Protokol TCP dan UDP pada Sistem Monitoring dan Otomasi Rumah Jamur Berorientasi WSN

Fakhrudin,

Hakim,

Budi

2023

TELKA

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Sistem monitoring dan otomasi rumah jamur sangat diperlukan untuk budidaya jamur. Sistem ini membutuhkan suatu protokol yang dapat membantu pengiriman data yang handal agar keadaan lingkungan dapat terpantau dengan baik. Ketika jaringan dengan protokol TCP terganggu, monitoring kondisi kumbung jamur akan terhambat, berdampak pada pertumbuhan jamur yang tidak optimal. Penelitian ini bertujuan untuk mengimplementasikan protokol TCP dan UDP pada sistem monitoring dan otomasi rumah jamur menggunakan iot berorientasi Wireless Sensor Network (WSN). Sistem menggunakan dua jenis mirkokontroller Wemos D1 mini ESP8266 dan Arduino UNO. Untuk satu mikrokontroller akan ditempatkan di dalam kumbung jamur untuk mengambil data lingkungan kumbung jamur yang diberi nama node sensor dan satu lagi berada di luar kumbung jamur yang diberi nama gateway. Node sensor akan dipasang sensor suhu dan kelembaban udara, soil moisture sensor, sensor intensitas cahaya, dan sensor CO2. Proses pengiriman data dari node sensor ke gateway menggunakan protokol UDP dan dari gateway ke server menggunakan protokol TCP. Hasil yang diperoleh adalah sistem monitoring dan otomasi rumah jamur dapat berjalan dengan baik. Hasil perbandingan menunjukkan bahwa protokol UDP memiliki delay yang lebih kecil dibanding TCP yaitu dengan perbedaan 96.153 ms. Tetapi untuk parameter throughput protokol TCP memiliki nilai lebih besar dibanding protokol UDP. Untuk koneksi dari node ke gateway lebih baik menggunakan protokol UDP karena pengiriman yang cepat dan data yang sedikit dikirim sehingga lebih efektif. Tetapi pada gateway ke server lebih baik menggunakan protokol TCP, karena data yang dikirimkan bisa banyak dan data harus terjamin sampai pada server. The utilization of mushroom house monitoring and automation systems is crucial in the context of mushroom growing. The successful monitoring of environmental conditions necessitates the implementation of a protocol that facilitates the transmission of dependable data. In the event of a disruption in the network utilizing the Transmission Control Protocol (TCP), the ability to monitor the status of the mushroom house would be impeded, thus leading to suboptimal mushroom growth. The objective of this project is to apply the Transmission Control Protocol (TCP) and User Datagram Protocol (UDP) in a monitoring and automation system for mushroom houses. This will be achieved by utilizing a Wireless Sensor Network (WSN) that is specifically designed for Internet of Things (IoT) applications. The system employs two distinct microcontrollers, namely the Wemos D1 small ESP8266 and the Arduino UNO. A sensor node, referred to as the microcontroller, will be positioned within the mushroom home to collect environmental data. Additionally, a gateway microcontroller will be situated outside the mushroom house. The sensor nodes will be equipped with temperature and humidity sensors, soil moisture sensors, light intensity sensors, and CO2 sensors. The transmission of data from the sensor node to the gateway is facilitated by the User Datagram Protocol (UDP), while the transmission from the gateway to the server is facilitated by the Transmission Control Protocol (TCP). The findings indicate that the mushroom house monitoring and automation system operates effectively. The comparison results show that the UDP protocol has a smaller delay than TCP, with a difference of 96.153 ms. In contrast, the throughput parameter of the TCP protocol has a higher value compared to that of the UDP protocol. When establishing connections between nodes and gateways, it is advisable to utilize the User Datagram Protocol (UDP) due to its advantages in terms of expedited delivery and efficient data transmission, as it involves less data overhead. However, it is advisable to utilize the TCP protocol for the gateway to the server, as it ensures reliable delivery of large volumes of data to the server.

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“…Agriculture is one of the dominant sectors in every aspect of a country's economic life [1]. Various cultivation areas have also been widely developed to support the economic stability of the world community.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Fuzzy in Agriculture System

Nurraharjo

Syukur

Hartono

2023

IJAIT

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Industrial Revolution 4.0 focuses all elements of industry to enter the digital era of governance with a variety of systems, which have been created to provide easy management support, consistency of production, maintain product quality and so on. In agriculture and plantations, the collaborative utilization of detection systems from sensors such as temperature, humidity and light intensity, as well as fuzzy logic algorithm approaches, is expected to produce adaptive operational auxiliary systems. Study for the conditioning of oyster mushroom cultivation room, with research environmental data in the form of temperatures ranging from 15-33 Celsius which will be used for hot and cold classification, humidity 47-99 %RH for classification of high and low humidity conditions and light intensity in the range of values of 80-800 lumens for the classification of dark and bright conditions. The process approaches a combination of rules in forming inference and defuzzification machines that are close to the expected real value. Tsukamoto's method, which was tested in this system research, was able to strengthen the form of fuzzy inference machines to assist in adaptive management of modern cultivation.

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Monitoring and Automatic Control of various Parameters for Mushroom Farming

Cited by 6 publications

References 13 publications

An Integrated IoT Sensor-Camera System toward Leveraging Edge Computing for Smart Greenhouse Mushroom Cultivation

An Integrated IoT Sensor-Camera System toward Leveraging Edge Computing for Smart Greenhouse Mushroom Cultivation

Implementasi Protokol TCP dan UDP pada Sistem Monitoring dan Otomasi Rumah Jamur Berorientasi WSN

Adaptive Fuzzy in Agriculture System

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