Smart Chopper and Monitoring System for Composting Garbage

Wardhany, Vivien Arief; Hidayat, Alfin; A, Muhammad Doni Sururin; Subono,; Afandi, Akhmad

doi:10.1109/ic2ie47452.2019.8940812

Cited by 8 publications

(6 citation statements)

References 4 publications

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“…The average transformation time for composting is approximately 10 days. [4] This paper outlines a process where organic waste, upon addition, triggers the humidity sensor, activating the heater in the composting tank. This leads to water evaporation through the exhaust system, achieving a substantial 70-80% volume reduction due to the inherent water content in organic waste.…”

Section: Existing Methodologymentioning

confidence: 99%

Organic Waste Composting Machine

Dr. Dinesh Kumar V,

Anantha Harini S K,

Anwar A

et al. 2024

Int Res J Adv Engg Hub

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This abstract presents an innovative approach to organic waste management through the design and implementation of an advanced organic waste composting machine. As the global population continues to grow, managing of organic waste becomes an innovative challenge. The proposed solution aims to address environmental concerns, promote sustainable agricultural practices, and contribute to the reduction of greenhouse gas emissions. Key features of the composting machine include automated temperature and moisture control, ensuring an optimal environment for microbial activity. The organic waste compost produced by the machine serves as a nutrient-rich soil conditioner, promoting soil health and fertility. The implementation of this composting technology contributes to circular economy principles by closing the organic waste loop and reducing dependence on chemical fertilizers. Additionally, the composting machine aligns with sustainable development goals by promoting resource efficiency and supporting local agriculture in waste reduction practices. This technology represents a step towards creating more resilient and environmentally conscious communities while supporting the transition to circular economies in the context of waste management.

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Section: Existing Methodologymentioning

confidence: 99%

Organic Waste Composting Machine

Dr. Dinesh Kumar V,

Anantha Harini S K,

Anwar A

et al. 2024

Int Res J Adv Engg Hub

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“…The Arduino Nano 33 BLE Sense, which incorporates the nRF52840 microcontroller, LSM9DS1 IMU, MP34DT05 microphone, and BLE connectivity, is a prominent example of such a device [46]. It has been widely used in research experiments, demonstrating its effectiveness in various applications that demand machine learning capabilities, low power consumption, and integrated sensor functionalities [47][48][49]. Alternatively, the Seeed Studio XIAO nRF52840 microcontroller provides comparable capabilities [50].…”

Section: Microcontrollermentioning

confidence: 99%

Dataset and System Design for Orthopedic Walker Fall Detection and Activity Logging Using Motion Classification

Huang,

Garcia

2023

Applied Sciences

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An accurate, economical, and reliable device for detecting falls in persons ambulating with the assistance of an orthopedic walker is crucially important for the elderly and patients with limited mobility. Existing wearable devices, such as wristbands, are not designed for walker users, and patients may not wear them at all times. This research proposes a novel idea of attaching an internet-of-things (IoT) device with an inertial measurement unit (IMU) sensor directly to an orthopedic walker to perform real-time fall detection and activity logging. A dataset is collected and labeled for walker users in four activities, including idle, motion, step, and fall. Classic machine learning algorithms are evaluated using the dataset by comparing their classification performance. Deep learning with a convolutional neural network (CNN) is also explored. Furthermore, the hardware prototype is designed by integrating a low-power microcontroller for onboard machine learning, an IMU sensor, a rechargeable battery, and Bluetooth wireless connectivity. The research results show the promise of improved safety and well-being of walker users.

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“…Pansari et al presentaron un sistema de monitoreo remoto mediante sensores de temperatura, humedad y gas metano (DTH11, MQ) para mejorar el proceso aerobio en las pilas de compostaje; además, utilizaron una tarjeta Arduino y midieron las variables temperatura, humedad, gas metano (Pansari, Deosarkar, & Nandgaonkar, 2019). Wardhany et al desarrollaron un compostero inteligente que consiste en activar un triturador de residuos orgánicos recolectados y depositados en una caja de fermentación; incorporan un sistema de monitoreo remoto de temperatura, humedad y altura de los residuos orgánicos triturados en la caja de fermentación utilizando los sensores LDR, DS18B20, Kalembasan, Ultrasónico y una placa Arduino MEGA (Wardhany et al, 2019). En 2019, Pratama et al propusieron un prototipo para la elaboración de compostaje aerobio; el prototipo consiste en una máquina mezcladora de composta con un sistema de automatización del mezclado basado en lógica difusa en función de los valores de temperatura y humedad recibidos usando los sensores YL-39 YL-69 Soil Moisture, DS18B20, sensor pH y una tarjeta RaspBerry (Pratama, Ariyanto, & Karimah, 2019).…”

Section: Antecedentesunclassified

“…En los casos de Wardhany et al y Elalami et al, los datos son transmitidos vía Web permitiendo el control remoto. El equipo de compostaje que presentan Pratama et al procesa los datos de humedad y temperatura por medio de lógica difusa para la toma de decisiones en la operación del actuador del motor del equipo de compostaje (Elalami et al, 2019;Pratama et al, 2019;Wardhany et al, 2019).…”

Section: Comparación Con Otros Sistemas De Compostajeunclassified

Desarrollo de un sistema embebido para un compostero doméstico inteligente

Sepúlveda-Cisneros

Acevedo-Juárez

Durán

et al. 2021

risti

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Uno de los grandes problemas de la humanidad es la excesiva cantidad de residuos que se generan a nivel mundial; por lo tanto, es de vital importancia no sólo reducirlos sino también transformarlos en nuevos productos. Aproximadamente, el 50% de los residuos generados en las ciudades son orgánicos, para darles un valor agregado se pueden transformar en composta. En este artículo, se presenta el desarrollo de un software embebido para un compostero doméstico inteligente. El proceso de desarrollo del software propuesto está guiado por un método específico para sistemas embebidos el cual combina las técnicas de desarrollo en espiral y prototipos; consta de once etapas y tres iteraciones. En este trabajo se presentan los resultados de la primera iteración del proceso de desarrollo de software utilizado.

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Smart Chopper and Monitoring System for Composting Garbage

Cited by 8 publications

References 4 publications

Organic Waste Composting Machine

Organic Waste Composting Machine

Dataset and System Design for Orthopedic Walker Fall Detection and Activity Logging Using Motion Classification

Desarrollo de un sistema embebido para un compostero doméstico inteligente

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