Design and implementation of a cost-aware and smart oyster mushroom cultivation system

Mushrooms are a nutritious food source, which can play a crucial role in providing affordable sources of proteins, vitamins and minerals for people worldwide, but their cultivation requires extensive training and considerable relevant expertise in order to fine-tune multiple environmental parameters. Internally displaced people in the Northern regions of Syria rely on very small-scale traditional oyster mushroom production, which cannot meet their local demand. Many international and local non-governmental organizations (NGOs) working for Syrian refugees, work on mushroom cultivation projects. They have reported significant difficulties and challenges in mushroom cultivation amongst the targeted beneficiaries. Therefore, the two main questions driving this research are: (1) How can organic mushroom cultivation be promoted using a robust and affordable intelligent mushroom farming system? (2) How can organic mushroom farming practices be simplified to support internally displaced and refugee Syrians? This research evaluates the process of automating mushroom cultivation by designing and implementing a smart oyster (Pleurotus ostreatus) mushroom farming system to remotely monitor and manage environmental parameters, such as temperature, humidity, air quality and illumination, inside the farm. Furthermore, ready and dedicated user-friendly web interfaces were also implemented to enable farmers to remotely monitor and manage their farms through the Internet. As a result, a dependable and cost-effective intelligent oyster mushroom cultivation system was designed and implemented in this work. The system includes remote monitoring and management via user-friendly interfaces. This simplifies mushroom cultivation for not only refugees and displaced communities, but also for mushroom farmers in low-income countries. This work can contribute to the eradication of poverty and hunger, in line with the United Nations Sustainable Development Goals one and two

Design and implementation of a cost-aware and smart oyster mushroom cultivation system

Mushrooms are a nutritious food source, which can play a crucial role in providing affordable sources of proteins, vitamins and minerals for people worldwide, but their cultivation requires extensive training and considerable relevant expertise in order to fine-tune multiple environmental parameters. Internally displaced people in the Northern regions of Syria rely on very small-scale traditional oyster mushroom production, which cannot meet their local demand. Many international and local non-governmental organizations (NGOs) working for Syrian refugees, work on mushroom cultivation projects. They have reported significant difficulties and challenges in mushroom cultivation amongst the targeted beneficiaries. Therefore, the two main questions driving this research are: (1) How can organic mushroom cultivation be promoted using a robust and affordable intelligent mushroom farming system? (2) How can organic mushroom farming practices be simplified to support internally displaced and refugee Syrians? This research evaluates the process of automating mushroom cultivation by designing and implementing a smart oyster (Pleurotus ostreatus) mushroom farming system to remotely monitor and manage environmental parameters, such as temperature, humidity, air quality and illumination, inside the farm. Furthermore, ready and dedicated user-friendly web interfaces were also implemented to enable farmers to remotely monitor and manage their farms through the Internet. As a result, a dependable and cost-effective intelligent oyster mushroom cultivation system was designed and implemented in this work. The system includes remote monitoring and management via user-friendly interfaces. This simplifies mushroom cultivation for not only refugees and displaced communities, but also for mushroom farmers in low-income countries. This work can contribute to the eradication of poverty and hunger, in line with the United Nations Sustainable Development Goals one and two

Neurofly 2008 abstracts : the 12th European Drosophila neurobiology conference 6-10 September 2008 Wuerzburg, Germany

This volume consists of a collection of conference abstracts

IoT Systems: Survey of Implementation and Prototyping

The Internet of Things (IoT), in general, is responsible for making devices collect and exchange data. Allowing them to communicate with each other [1]. That is why it not only merges many fields in computing, but it is applied in almost every other field, expanding beyond engineering into all domains of life. This thesis explores the roles of sensors, which are integral components of IoT systems, focusing on their use in acquiring the data. The data acquired from the sensors are usually analog values of a signal and the IoT system needs to perform computations necessary for the system to communicate the measured value to the user. Thus, the sensors explored in this thesis include temperature sensors, humidity sensors, pressure sensors, light sensors, pH sensors, sound sensors, and dual-axis accelerometers. The thesis surveys the uses of sensors across four key IoT application areas: Smart Agriculture, Smart Cities, Smart Environment, and Smart Body. These categories were explored to understand the practical relevance and deployment of sensor technologies. With the sensor categories mentioned, computational methods were performed to convert raw sensor voltage data into measurable values such as temperature, pH (potential of hydrogen), PSI (pound-force per square inch), and SPL (sound pressure level) thus creating an interface code that translates the raw analog data into measured values. This work also initiated the creation of proof of concept of a sensor database. The database is intended to serve as a tool that simplifies sensor integration needed for computation. This thesis lays the groundwork for future sensor-based IoT systems integrations

An internet of things enabled framework to monitor the lifecycle of Cordyceps sinensis mushrooms

Cordyceps sinensis is an edible mushroom found in high quantities in the regions of the Himalayas and widely considered in traditional systems of medicine. It is a non-toxic remedy mushroom and has a high measure of clinical medical benefits including cancer restraint, high blood pressure, diabetes, asthma, depression, fatigue, immune disorder, and many infections of the upper respiratory tract. The cultivation of this kind of mushroom is limited to the region of the Sikkim and to cultivate in the other regions of the country, they are need of investigation and prediction of cordyceps sinensis mushroom lifecycle. From the studies, it is concluded that the precision-based agriculture techniques are limitedly explored for the prediction and growth of Cordyceps sinensis mushrooms. In this study, an internet of things (IoT) inspired framework is proposed to predict the lifecycle of Cordyceps sinensis mushrooms and also provide alternate substrate to cultivate Cordyceps sinensis mushrooms in other parts of the country. As a part of lifecycle prediction, a framework is proposed in this study. According to the findings, an IoT sensor-based system with the ideal moisture level of the mushroom rack is required for the growth of Cordyceps sinensis mushrooms

The development of smart flowerpot based on internet of things and mobile and web application technology

Cultivation of ornamental plants in the office is popular among office workers and the general public because it can create a good environment in the area, but the plant growers must pay attention to watering the plants, because it may cause the plant to die. With the advancement of internet of things (IoT) technology, used to control devices wirelessly, this research developed the smart flowerpot system that works through mobile and web applications, using a microcontroller to control the system and connect to users via mobile and web application that can monitor the system, and control the operation both directly and automatically. When soil moisture is reduced to a predetermined value, the system will order the plants to be watered automatically, and when the water level is almost completely reduced, the ultrasonic sensor will send a notification to the mobile application to let the user know, after testing the system, it was found that the smart plant pot can work efficiently and can automatically water the plants

An intelligent humidity control system for mushroom growing house by using beam-switching antennas with artificial neural networks

An automatic humidity control system for mushroom growing house based on the free-space technique is presented. The novelty of this work is the modified free-space technique by measuring the amplitude only of transmission coefficient |S21| that reflected from mushroom by using beam-switching antenna with artificial neural networks (ANNs) as a humidity sensor to control quantity and time of water misting nozzle. In the proposed system, the antenna is designed to act as the transmitting antenna at the frequency of 2.45 GHz. Its radiation patterns can be switched to 4 directions covering all corners of mushroom growing house. The measured |S21| from each direction are converted to direct current (DC) voltage by a radio frequency (RF) detector; then are trained with ANNs in the humidity range of 60-85%. The optimized ANNs structure consists of 4 input nodes, two layers of 5 hidden nodes, and 3 output nodes. To verify the proposed system, experiments were set up in controlled humidity mushroom growing house at the humidity level of 75-80% for 120 hours. The results showed that there was slightly average standard deviation (S.D.) of humidity level 1.36. Consequently, the performance of sensor system assures that it is able to apply for humidity control in large growing house

Marine protected areas of the central Victoria bioregion

Along Victoria&rsquo;s coastline there are 30 Marine Protected Areas (MPAs) that have been established to protect the state&rsquo;s significant marine environmental and cultural values. These MPAs include 13 Marine National Parks (MNPs), 11 Marine Sanctuaries (MSs), 3 Marine and Coastal Parks, 2 Marine Parks, and a Marine Reserve, and together these account for 11.7% of the Victorian marine environment. The highly protected Marine National Park System, which is made up of the MNPs and MSs, covers 5.3% of Victorian waters and was proclaimed in November 2002. This system has been designed to be representative of the diversity of Victoria&rsquo;s marine environment and aims to conserve and protect ecological processes, habitats, and associated flora and fauna. The Marine National Park System is spread across Victoria&rsquo;s five marine bioregions with multiple MNPs and MSs in each bioregion, with the exception of Flinders bioregion which has one MNP. All MNPs and MSs are &ldquo;no-take&rdquo; areas and are managed under the National Parks Act (1975) - Schedules 7 and 8 respectively.This report updates the first Marine Natural Values Study (Plummer et al. 2003) for the MPAs in the Central Victoria bioregion on the central coast of Victoria and is one of a series of five reports covering Victoria&rsquo;s Marine National Park System. It uses the numerous monitoring and research programs that have increased our knowledge since declaration and aims to give a comprehensive overview of the important natural values of each MNP and MS.<br /

Investigation of Temperature and Humidity Control System for Mushroom House

&nbsp;Abstract: Monitoring and control the mushroom house environment play an important role in mushroom cultivation quality. Assurance of optimal temperature and humidity has a direct influence on the mushroom growth performance. Traditionally, mushroom cultivation has required a great effort to connect and distribute all the sensors and data acquisition systems. Natural environment such as the temperature during the day either on a hot day and the rain is affecting the temperature and moisture in the mushroom house directly. The optimal temperature and humidity for mushroom house is around 20°C and 80% respectively. For this reason, in order to maintain an optimal temperature and humidity, Matlab Simulink was developed to run simulations on the system. Simulink's block diagram is composed of three main parts for this system whereas input, control system and the output temperature and humidity for the mushroom house. Matlab/Simulink tool is use for modeling, simulating and analyzing the performance of the system. &nbsp; &nbsp