Low-cost automatic station for compost temperature monitoring

Jordão, Marcelo D. L.; Paiva, Kary de; Firmo, Heloísa Teixeira; Inácio, Caio T.; Filho, Otto Corrêa Rotunno; Lima, Tomé de Almeida

doi:10.1590/1807-1929/agriambi.v21n11p809-813

Cited by 9 publications

(4 citation statements)

References 15 publications

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“…Composting and the ability to perform it efficiently, unsupervised and uninterrupted, has been a rather popular issue to tackle. Jordao et al in Reference [15] presented a low-cost station for measuring air temperature, where the composting procedure took place to provide an overview of the overall procedure's progress to experts.…”

Section: Composting In the Iot Eramentioning

confidence: 99%

Composting as a Service: A Real-World IoT Implementation

et al. 2018

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Composting is the delicate procedure of supervised decomposition of organic waste, which gradually transforms waste to nutrient-rich manure. It requires deep knowledge and constant attention by experts to achieve a quality outcome in a timely fashion. Nevertheless, due to the bizarre nature of the materials and the overall procedure, along with the space required and emitted odors, it is required that composting infrastructures and machinery are installed away from residential areas, rendering supervision a very tedious task. Automatic composting machinery is a promising new idea, but still cannot substitute the insightfulness of a human supervisor. In this paper, we introduce COMPosting as a Service (COMPaaS). COMPaaS is a novel cloud service in composition with specialized Internet of Things (IoT)-based composting machinery that allows for unsupervised composting. The focus of this work is on the tiered IT approach that is adopted following the edge-computing paradigm. More specifically, composting machinery, enriched with several sensors and actuators, performs a set of basic routine tasks locally and sends sensor values to a cloud service which performs real-time data analysis and instructs the composting machinery to perform the appropriate actions based on the outcome of the analysis. The overall composting procedure is performed in a completely unsupervised manner, and field evaluation has shown an up to 30% faster outcome in comparison to traditional supervised composting.

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Section: Composting In the Iot Eramentioning

confidence: 99%

Composting as a Service: A Real-World IoT Implementation

et al. 2018

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“…In this context, the use of Internet of Things (IoT) tools is important (Kansara et al, 2015), as currently almost all devices can be connected (Estevam et al, 2019). Devices such as smartphones can receive or access data in the cloud, send equipment control orders, monitor the evolution of environmental parameters, being important tools that assist in decision-making or automation (Fisher et al, 2018;Fisher & Gould, 2012;Jordão et al, 2017;Payero et al, 2017). Automated microirrigation systems can reduce labor demand and optimize the water depth to be applied, resulting in water savings (Rao & Sridhar, 2018) and benefits to the enterprise and the environment (Gutiérrez et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Development of a Low-Cost Open-Source Platform Connected to the Internet for Acquisition of Environmental Parameters and Soil Moisture

Pinto¹,

Camargo²,

Duarte³

2021

Eng. Agríc.

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The development of the Internet and the technologies associated with it has allowed disseminating and cheapening of communication equipment, prototyping services, electronic sensors, and all types of devices. Agriculture has benefited from these technological advances to boost its productivity and profitability. This study presents the development of a data acquisition and device control platform to obtain, in real-time and remotely, information from the field for decision-making and process automation. All electronic components are low-cost and "open hardware", and the software is "opensource". The developed platform was validated during a development cycle of two lettuce varieties (Japanese and crisp), in which the soil water matric potential was monitored at two depths (10 and 25 cm), while solar irradiation, air temperature, and soil temperature were evaluated only to monitor the cycle. The platform automatically and satisfactorily controlled the applied irrigation depths using only the data of matric potential by activating a solenoid valve and made the information from the sensors available on the ThingSpeak Internet of Things (IoT) platform.

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“…El sensor de tipo DHT 22 es preciso e ideal, con su integración con la plataforma Arduino (Jordão et al, 2017). Tanto el Arduino como sus componentes soportan condiciones ambientales extremas frente a la humedad y temperatura (>70°C).…”

Section: Introductionunclassified

Construcción de un temohigrómetro prototipo con base datalogger en placa Arduino para interior de edificaciones

Mamani¹,

Vilca²,

Carreon³

et al. 2017

Campus

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Construcción de termohigrómetro prototipo con base datalogger en placa Arduino para interior de edificacionesresumen Se construyó un termohigrómetro prototipo con base datalogger en placa Arduino para medir la temperatura y humedad al interior de edificaciones. Este prototipo consta de un microprocesador Arduino Mega 2560 de 256K memoria, 16MHZ de frecuencia, sensor DHT 22 con precisión: ±0.5ºC y ±1ºC y 10s de respuesta para temperatura, así como ±2% de humedad relativa de precisión con 5s de respuesta para humedad relativa. Finalmente, se adicionó un módulo lector SD con 32GB de memoria para el registro datalogger. Se registró la temperatura y humedad cada 10 minutos durante 24 horas y observó diferencias, estadísticamente, significativas (p>0,05) para la humedad. No obstante, a pesar de las diferencias no esperadas de la variable humedad en la que se requiere seguir procedimientos metodológicos para su optimización, es posible gracias a la construcción de este termohigrómetro prototipo registrar valores similares para la temperatura de los diseños validados en el ámbito comercial. Nuestro prototipo obtenido tiene un menor costo mostrándose viable para realizar estudios sobre medición de la temperatura interior en construcciones.Palabras clave: termohigrómetro, datalogger, DHT 22, Arduino mega 2560 aBstract A prototype thermohygrometer was built with data logger base on an Arduino board to measure temperature and humidity inside buildings, which consisted of an Arduino Mega 2560 256K memory microprocessor, 16MHZ frequency, DHT 22 sensor with precision: ± 0.5ºC, ± 1ºC and 10s of response for temperature, as well as ± 2% of relative humidity of precision with 5s of response for relative humidity. Finally, an SD reader module with 32GB of memory for the data logger registry was added. The temperature and humidity

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Low-cost automatic station for compost temperature monitoring

Cited by 9 publications

References 15 publications

Composting as a Service: A Real-World IoT Implementation

Composting as a Service: A Real-World IoT Implementation

Development of a Low-Cost Open-Source Platform Connected to the Internet for Acquisition of Environmental Parameters and Soil Moisture

Construcción de un temohigrómetro prototipo con base datalogger en placa Arduino para interior de edificaciones

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