Academic literature on the topic 'Raspberry Pi 2 model B'

Most countries have an economy that is dependent on agriculture—either in a magnificent or small way, from employment generation to national income contribution—implying that agriculture is inevitable. Polyhouse farming is a new and widely accepted method of farming in the present days. The polyhouse is made in such a way that it can provide water and fertilizers in required amounts in a controlled manner, which can result in high yields. Polyhouse requires severe monitoring of crops as stagnant air, and lack of air circulation will lead to breeding of insects and materialistic loss. Hence, this chapter proposes an IoT-based disease-monitoring prototype for an agricultural/polyhouse application. The prototype is designed and tested to identify the disease onset in cucumbers. This work initially focuses on recognizing the critical cucumber diseases in polyhouse using NodeMCU and Raspberry-Pi-based hardware model. The decisions to be made and the major changes in the sensed parameters if any will be intimated to the farmers using a specifically designed mobile application.

In this paper, two assistive projects on the spatial cognition by blind and visually impaired (B&VI) people are presented using the sound patterns and ultrasonic sensing. The first device supports the sport activities of B&VI, the golf game specifically. Every golf flagstick has the sound marking device with the active buzzer and WiFi remote control by the person with good vision. The NodeMcu Lua ESP8266 ESP-12 WiFi boards in devices are controlled by the cross-platform HTML web-sites, and hence any WiFi smartphone and / or computer can be in use to start the HTML web-page. Mini portable WiFi router links all devices in the network. End-users are securely connected using the password to wireless router. Ten assistive devices were handed in Instituto para Ciegos y Débiles Visuales “Ezequiel Hernández Romo” together with WiFi router. The second device supports the orientation of B&VI by measuring the distance to the obstacle based on the ultrasonic sensor HC-SR04 and Arduino Uno. The distance is pronounced to the B&VI using headphone and MP3 player with SD card. Nowadays, Universidad Politécnica de San Luis Potosí is negotiating with several organizations to create a production line. All devices are of the budget price up to USD 10. All devices were tested successfully. This is joint work of Instituto para Ciegos y Débiles Visuales “Ezequiel Hernández Romo”, Universidad Politécnica de San Luis Potosí, and Tecnológico de Monterrey with ongoing project “Artificial Eyes” based on Raspberry Pi 3 Model B board with an ultrasonic sensor and camera for the image and/or video processing of the surrounding environment, as well as the friendly integration into the local networks using onboard WiFi and Bluetooth.

An embedded system integrated with sensors based on nanomaterial is proposed for closely monitoring and control microclimate parameters 24 hours a day to maximise production over the whole crop growth season by introducing greenhouse for the cultivation of plants or specific plant species. The system will also eliminate errors in human intervention to optimise production of crops. This system consists of sensors and actuators, an Analogue to Digital Converter (ADC) and a Raspberry Pi. The system will determine whether a defined threshold is passed by any climate parameter and systematically changes via the controller. The current work reduces human input through automated irrigation to optimally utilize a scarce resource, namely water. Climatic parameters for plant growth such as, moisture, humidity, temperature, water pressure in drip pipe, soil salinity etc. are monitored and optimized. Furthermore, work was extended to include GSM to control the entire farm remotely. For its success, it is very important to choose a greenhouse location. For instance, the problems are quite different when choosing an adjoining greenhouse, for instance a sunroom or greenhouse. The greenhouse location should be chosen for sunlight, proximity to power and water sources, wind, drain and freeze pockets, and the proximity of the garden and house. The intention behind accomplishment and devise of GSM based Fertigation System is to construct and evaluate the requirement of water in the yield as farming is the major resource of production which habitually depends on the water accessibility. Irrigation of water is usually done by manual method. To ease the work of the farmer GSM based automatic Fertigation (includes chemigation too) system can be implemented so that water wastage can be reduced and also the fertilizer can be added accordingly. Also the Soil Salinity can be checked and reduced if exceeds certain limit. By using GSM, only GSM command via GSM mobile can control the start and stop action of a motor that feeds the field with the water. GSM is used for controlling the entire process and the entire system backbone. It can be used from any distance to control irrigation. The results are assessed by electronic simulator PROTEUS using the desired optimised parameters, the design of this automated greenhouse system with PIC controller. As the inputs to the microcontroller and as an LCD screen record the respective outputs, the model produces a soil moisture sensor, light sensor and temperature sensor. The system performance is accurate and repeatable for measuring and controlling the four parameters that are crucial for plant growth - temperature, humidity, soil moisture and light intensity. With the reduction in electricity consumption, maintenance and complexity, and a flexible and precise environment control form for agriculture, the new system successfully cured quite a couple of defects in existing systems. Nano composite film sensors (Graphene and Graphene mixed in order to optimise the input of fertilisers for chemical composition determination. Using nano technology in agriculture enforces the firm bond between the engineer and farmer. Nano material film-based gas sensors were used to measure the presence of oxygen and CO2.using graphene nano composite sensors integrated into an embedded system, to detect the presence and levels of gases. Improve crop growth with combined red and blue light for lighting under the leavened and solar-powered LED lighting modules. This was achieved by graph/solar cells. The light was measured at the photosynthesis flux (PPFD) of 165 μmol m-2 s-1 by 10 cm of its LED module. LED lights were provided between 4:00 a.m. and 4:00 p.m. in the daytime treatments and night treatments from 10 to 10 hours. The use of the nighttime interlumination of LEDs was also economical than the interlumination of charts. Thus, nightlighting LEDs can effectively improve plant growth and output with less energy than the summer and winter times. Solar panels are best functioning during times of strong sunlight today, but begin to wan when they become too hot and cloudy. By allowing Solar Panels to produce electricity during harsh weather conditions and increase efficiency, a breakthrough in graphene-based solar panels can change everything. Ultimately with a fully autonomous system, agricultural productivity and efficiency, the length of the growing season, energy consumption and water consumption were recorded and monitored by exporting the data over GSM environment. With the steady decrease in the cost of high-performing hardware and software, the increased acceptance of self-employed farming systems, and the emerging agricultural system industry, the results will be reliable control systems covering various aspects of quality and production quantity.

Este artigo apresenta uma análise de desempenho (uso de CPU, consumo de memória e envio de mensagens) de brokers MQTT em um hardware de baixo custo, o Raspberry Pi 2 Modelo B. Os objetivos da análise são averiguar qual implementação de broker MQTT é a mais adequada às limitações do hardware e se o Raspberry Pi 2 é realmente capaz de funcionar como gateway de uma rede de sensores e atuadores para a Internet das Coisas (IoT). Os resultados mostraram que o Raspberry Pi 2 consegue lidar com grandes números de conexões, sendo a implementação em Erlang (eMQTT) a que obteve melhor resultado em vazão

Climate change concerns are driving incentives to increase the fuel economy of passenger vehicles. Consequently, this has resulted in a growing prevalence of electrified vehicles (EVs) consisting of hybrid, plug-in hybrid, and fully electric vehicles. Unfortunately, EVs are often removed from the road when 70 to 80% of the original energy capacity remains in their battery pack. In order to maintain or increase the value of EV battery packs in an end-of-vehicle life scenario, there are three potential solutions: remanufacturing for re-use, recycling, or repurposing. However, the complexity of h

Abstract RIOTS is a general purpose optimal problem solver written as a MATLAB toolbox with mixed-language programming (C, Fortran, Matlab, Simulink). This first paper introduces how to make RIOTS run under an embedded platform RP3B (Raspberry Pi 3 B) with Windows 10. We presented the system architecture and a complete demo on running RIOTS as the inner kernel for MPC, using a house made thermal control system based on Peltier modules.