The world population growth is increasing the demand for food production. Furthermore, the reduction of the workforce in rural areas and the increase in production costs are challenges for food production nowadays. Smart farming is a farm management concept that may use Internet of Things (IoT) to overcome the current challenges of food production. This work uses the preferred reporting items for systematic reviews (PRISMA) methodology to systematically review the existing literature on smart farming with IoT. The review aims to identify the main devices, platforms, network protocols, processing data technologies and the applicability of smart farming with IoT to agriculture. The review shows an evolution in the way data is processed in recent years. Traditional approaches mostly used data in a reactive manner. In more recent approaches, however, new technological developments allowed the use of data to prevent crop problems and to improve the accuracy of crop diagnosis.

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A Systematic Review of IoT Solutions for Smart Farming

Experimental tests on co-firing coal and biomass waste fuels in a fluidised bed under oxy-fuel combustion

The main objective of the present work is to develop a smart wireless sensor network (WSN) for an agricultural environment. Monitoring of environmental factors have increased in importance over the last decade. In particular monitoring agricultural environments for various factors such as temperature and humidity along with other factors can be of significance. A traditional approach to measuring these factors in an agricultural environment meant individuals manually taking measurements and checking them at various times. The ability to document and detail changes in parameters of interest have become increasingly valuable, to such an extent that unattended monitoring systems have been investigated for this function. This study investigates a remote monitoring system using WiFi, where the wireless sensor nodes are based on WSN802G modules. These nodes send data wirelessly to a central server, which collects the data, stores it and will allow it to be analyzed then displayed as needed.

A WiFi based smart wireless sensor network for an agricultural environment : a thesis submitted in fulfilment of the requirements for the degree of Master of Engineering

Systematic review of Internet of Things in smart farming

Recently, Internet of Things (IoT) technologies have grown rapidly and represent now a unique opportunity to improve our environmental monitoring capabilities at extremely low costs. IoT is a new system of thinking in which objects, animals or people are equipped with unique identifiers and transfer data a network without requiring human-to-human or human-to-computer interaction. IoT has evolved from the convergence of wireless technologies, microelectromechanical systems (MEMS) and the Internet. The development of these technologies in environmental monitoring domains allows real-time data transmission and numerous low-cost monitoring points. We have designed a new device, the TreeTalker©, which is capable of measuring water transport in trees, diametrical growth, spectral characteristics of the leaves and microclimatic parameters and transmit data in semi-real time. Here we introduce the device’s features, provide an example of monitored data from a field test site and discuss the application of this new technology to tree monitoring in various contexts, from forest to urban green infrastructures management and ecological research.

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New tree monitoring systems: from Industry 4.0 to Nature 4.0

About 10% of the world’s workforce is directly dependent on agriculture for income and about 99% of food consumed by humans comes from farming. Agriculture is highly climate dependent and with global warming and rapidly changing weather it has become necessary to closely monitor the environment of growing crops for maximizing output as well as increasing food security while minimizing resource usage. In this study, we developed a low cost system which will monitor the temperature, humidity, light intensity and soil moisture of crops and send it to an online server for storage and analysis, based on this data the system can control actuators to control the growth parameters. The three tier system architecture consists of sensors and actuators on the lower level followed by an 8-bit AVR microcontroller which is used for data acquisition and processing topped by an ESP8266 Wi-Fi module which communicates with the internet server. The system uses relay to control actuators such as pumps to irrigate the fields; online weather data is used to optimize the irrigation cycles. The prototyped system was subject to several tests, the experimental results express the systems reliability and accuracy which accentuate its feasibility in real-world applications.

/pdf/internet-of-things-based-wireless-plant-sensor-for-smart-4wyxwl2ykk.pdf

Internet of Things based Wireless Plant Sensor for Smart Farming

Grinding characteristics during ultrasonic vibration assisted grinding of alumina ceramic in selected dry and MQL conditions

Disposal and recycling of plastics

Comparative Study of Weld Characteristics of Friction Stir Welded Joints on Aluminium 7075 with Autogenous TIG

Petroleum coke, a byproduct of the oil refining process is used as a source of energy given its high carbon content. The high ignition temperature and low volatile matter of petcoke poses combustion problems in a FBC boiler. This is sought to be mitigated by cofiring of biomass with coke. Biomass blends of 15% and 30% by weight of rice straw by weight have been used in this study. This paper presents the initial findings of a thermogravimetric analysis (TGA) done on petroleum coke and rice straw blends to evaluate their combustion characteristics. It is observed that the ignition time and temperature has been lowered and the reactivity of petcoke has increased resulting in better combustion characteristics in the presence of rice straw. The boiler thermal efficiency has also improved due to cofiring

Sreethul Das

Papers

Internet of Things based Wireless Plant Sensor for Smart Farming

Grinding characteristics during ultrasonic vibration assisted grinding of alumina ceramic in selected dry and MQL conditions

Disposal and recycling of plastics

Comparative Study of Weld Characteristics of Friction Stir Welded Joints on Aluminium 7075 with Autogenous TIG

Evaluation of combustion performance of petroleum coke/rice straw blends for cofiring in a FBC boiler