Automation and the farmer

A current problem in Australia is the shortage of human assistance for farmers. Automation and technological innovation are discussed as answers to this, delegating tasks to ‘robot’ systems. By way of example, projects are examined that have been conducted over the years at the NCEA, including vision guidance of tractors, quality assessment of produce, discrimination between plants and weeds and determination of cattle condition using machine vision. Strategies are explored for extending the current trends that use machine intelligence to reduce the need for human intervention, including the concept of smaller but more intelligent autonomous devices. Concepts of teleoperation are also explored, in which assistance can be provided by operatives remote from the process. With present advances in communication bandwidth, techniques that are common for monitoring remote trough water levels can be extended to perform real-time dynamic control tasks that range from selective picking to stock drafting

Solar cells inside woven textiles

Energy harvesting textiles are a relatively new field of research. In the future our clothes, accessories, and other fabrics could generate electricity from the sun and charge our devices on the go. While photovoltaic yarns, and solar cells printed directly on textiles are technologies of the future, there are already suitable solutions on the market for small scale energy harvesting. Some existing products such as energy harvesting backpacks and jackets already make use of these alternatives but mostly the level of integration of solar cells to the textile is low. The technology remains as a separate part instead of merging into the design and construction of textile. The goal of this practice-based research is to create woven textiles that allow integrating photovoltaics to the functional and aesthetic design of the fabric. The background research aims to introduce the relevant terms and concepts about solar cells for textile design purposes, and paint an overall picture of the future of the photovoltaic textiles field. During the practice-based research part, this knowledge is used for woven material prototyping and testing. The thesis work establishes a design strategy which combines creative material experimentation with backing from applied scientific exploration. Traditional textile design practice is used to develop handwoven material drafts which allow inserting solar cells into the structure of multilayered cloth. To find out how the properties of textiles affect the efficiency of the solar cell, the textile prototypes were tested during several rounds. Solar Cells Inside Woven Textiles is a continuation of an interdisciplinary research project with the New Energy Technologies group from Aalto Engineering Physics Department. The thesis builds on the knowledge generated during the previous process. Because of the collaborative nature of the project, the role of a textile designer in an interdisciplinary research project is addressed. The reflections are based on personal experiences during the process and conversations with design and technology professionals about the subject. This thesis work is positioned on the ground in-between design and science. The final outcome is a collection of woven textile prototypes showcasing the learning and possibilities of designing for photovoltaics integration. Visualization of the collected data allows comparison of different materials, colors and weave structures and provides feedback of the design choices. Using textile design as a tool for scientific exploration may offer tangible proposals for future concepts and research questions. This work serves as one example of working as a designer in a hybrid environment

Smart Materials and Technologies for Early Warning, Monitoring, and Increased Expected Life of Transportation Infrastructure

Different approaches can be used to make cities and transportation infrastructures smarter, more sustainable, and durable. These changes will positively affect the work of many stakeholders, such as authorities, road agencies, citizens, users, and driverless vehicles. Unfortunately, despite the fact that smart materials are becoming more and more common, the integration level between smart materials and early warning technologies is still in need of a holistic approach.In light of this, the main objective of the work presented in this paper is to provide an overview of the materials and technological solutions that can be used in the field of transportation infrastructures to satisfy some of the Sustainable Development Goals of the United Nation (resolution A/RES/70/1/2015).The solutions above include an innovative monitoring method, set up by the authors of this paper, which is based on the concept of vibro-acoustic signature. The method mentioned above is a Non-Destructive Test and sensor-based solutions in order to detect damage to road pavements. The proposed method was validated using Finite Element Modelling simulations, and experimental investigations followed by data analysis carried out using Machine Learning- and Wavelet-based algorithms.Results show that smart materials and technologies can be used to target A/RES/70/1/2015 goals and to improve the sustainability of the current and future transportation infrastructures. Materiali e tecnologie intelligenti per allerta, monitoraggio, e per aumentare la vita utile delle infrastrutture di trasportoDifferenti approcci possono essere utilizzati per rendere le città e le infrastrutture di trasporto più intelligenti, sostenibili e durature. Queste tendenze influenzeranno positivamente il lavoro di molti portatori di interesse come ad esempio le autorità competenti, le società che si occupano di strade, i cittadini, gli utenti, ed i veicoli senza guidatore. Sfortunatamente, malgrado il fatto che i materiali intelligenti sono sempre più utilizzati, il livello di integrazione tra materiali intelligenti e tecnologie per l’allerta precoce ha ancora bisogno di un approccio olistico.Alla luce di questo, l’obiettivo principale del lavoro presentato in questo documento è quello di fornire una panoramica su soluzioni basate su materiali e tecnologie che potrebbero essere utilizzate nel campo delle infrastrutture di trasporto per soddisfare alcuni degli obiettivi della risoluzione per lo sviluppo sostenibile (Sustainable Development Goals) delle Nazioni Unite (A/RES/70/1/2015).Le soluzioni su citate includono un metodo innovativo, messo a punto dagli autori della memoria, il quale è basato sul concetto di firma vibro-acustica. Il metodo su citato è una soluzione basata su test non distruttivi (NDT) e sensori per l’identificazione di danni nelle pavimentazioni stradali. Il metodo proposto è stato validato attraverso simulazioni fatte con un modello agli elementi finiti (FEM), e indagini sperimentali seguite da un’analisi dati svolta usando un modello basato sull’apprendimento automatico (machine learning).I risultati mostrano che materiali e tecnologie intelligenti possono essere utilizzate per raggiungere gli obiettivi della risoluzione A/RES/70/1/2015 e migliorare la sostenibilità delle attuali e future pavimentazioni stradali.Different approaches can be used to make cities and transportation infrastructures smarter, more sustainable, and durable. These changes will positively affect the work of many stakeholders, such as authorities, road agencies, citizens, users, and driverless vehicles. Unfortunately, despite the fact that smart materials are becoming more and more common, the integration level between smart materials and early warning technologies is still in need of a holistic approach.In light of this, the main objective of the work presented in this paper is to provide an overview of the materials and technological solutions that can be used in the field of transportation infrastructures to satisfy some of the Sustainable Development Goals of the United Nation (resolution A/RES/70/1/2015).The solutions above include an innovative monitoring method, set up by the authors of this paper, which is based on the concept of vibro-acoustic signature. The method mentioned above is a Non-Destructive Test and sensor-based solutions in order to detect damage to road pavements. The proposed method was validated using Finite Element Modelling simulations, and experimental investigations followed by data analysis carried out using Machine Learning- and Wavelet-based algorithms.Results show that smart materials and technologies can be used to target A/RES/70/1/2015 goals and to improve the sustainability of the current and future transportation infrastructures. Materiali e tecnologie intelligenti per allerta, monitoraggio, e per aumentare la vita utile delle infrastrutture di trasportoDifferenti approcci possono essere utilizzati per rendere le città e le infrastrutture di trasporto più intelligenti, sostenibili e durature. Queste tendenze influenzeranno positivamente il lavoro di molti portatori di interesse come ad esempio le autorità competenti, le società che si occupano di strade, i cittadini, gli utenti, ed i veicoli senza guidatore. Sfortunatamente, malgrado il fatto che i materiali intelligenti sono sempre più utilizzati, il livello di integrazione tra materiali intelligenti e tecnologie per l’allerta precoce ha ancora bisogno di un approccio olistico.Alla luce di questo, l’obiettivo principale del lavoro presentato in questo documento è quello di fornire una panoramica su soluzioni basate su materiali e tecnologie che potrebbero essere utilizzate nel campo delle infrastrutture di trasporto per soddisfare alcuni degli obiettivi della risoluzione per lo sviluppo sostenibile (Sustainable Development Goals) delle Nazioni Unite (A/RES/70/1/2015).Le soluzioni su citate includono un metodo innovativo, messo a punto dagli autori della memoria, il quale è basato sul concetto di firma vibro-acustica. Il metodo su citato è una soluzione basata su test non distruttivi (NDT) e sensori per l’identificazione di danni nelle pavimentazioni stradali. Il metodo proposto è stato validato attraverso simulazioni fatte con un modello agli elementi finiti (FEM), e indagini sperimentali seguite da un’analisi dati svolta usando un modello basato sull’apprendimento automatico (machine learning).I risultati mostrano che materiali e tecnologie intelligenti possono essere utilizzate per raggiungere gli obiettivi della risoluzione A/RES/70/1/2015 e migliorare la sostenibilità delle attuali e future pavimentazioni stradali

Animal rights/Plant rights

This article sketches the rise of the concept of animal rights, especially in the late 20th century, mainly due to the work of Peter Singer. Considering the increase in evidence of plant intelligence, the question is discussed of whether plants might also be entitled to the same rights as animals. This question is answered in the affirmative. This would mean that humans would no longer be allowed to eat their fellow creatures. It is demonstrated that the concept of rights for non-human entities is a fundamental negation of rights as something exclusively human. Humans, like all other organisms cannot do anything else than obey the natural law of eating and being eaten. The position of plants and animals in farming is discussed from the perspective of domestication of plants and animals, and the responsibilities that this situation imposes on humans. Although a certain reduction of consumption of animal products is desirable, this has nothing to do with animal rights, but with ecological necessities only. Some recommendation for food service practice are given. Keywords: animal rights, food service, plant rights, speciesism, vegan, vegetaria

A comparison of processing techniques for producing prototype injection moulding inserts.

This project involves the investigation of processing techniques for producing low-cost moulding inserts used in the particulate injection moulding (PIM) process. Prototype moulds were made from both additive and subtractive processes as well as a combination of the two. The general motivation for this was to reduce the entry cost of users when considering PIM. PIM cavity inserts were first made by conventional machining from a polymer block using the pocket NC desktop mill. PIM cavity inserts were also made by fused filament deposition modelling using the Tiertime UP plus 3D printer. The injection moulding trials manifested in surface finish and part removal defects. The feedstock was a titanium metal blend which is brittle in comparison to commodity polymers. That in combination with the mesoscale features, small cross-sections and complex geometries were considered the main problems. For both processing methods, fixes were identified and made to test the theory. These consisted of a blended approach that saw a combination of both the additive and subtractive processes being used. The parts produced from the three processing methods are investigated and their respective merits and issues are discussed

Development of New Cotton Defoliation Sprayer Using Unmanned Ground Vehicle and Pulse Width Modulation Technology

Chemical spraying is one of the most important and frequently performed intercultural agriculture operations. It is imperative to utilize appropriate spraying technology as a selection of ineffective one leads to waste of agrochemicals to the non‐target area. Several precision technologies have been developed in the past few decades, such as image processing based on real‐time variable‐rate chemical spraying systems, autonomous chemical sprayers using machine vision and nozzle control, and use of unmanned aerial and ground vehicles. Cotton (Gossypium hirsutum L.) is an important industrial crop. It is a perennial crop with indeterminate growth habit; however, in most parts of the United States, it is grown as an annual crop and managed using growth regulators. Cotton defoliation is a natural physiological phenomenon, but untimely and/or inadequate defoliation by natural processes necessitates the application of chemical defoliants for efficient harvest. Defoliation is a major production practice influencing harvester efficiency, fiber trash content, cotton yield, and fiber quality. Currently, defoliant spraying is done by conventional ground driven boom sprayer or aerial applicator and both systems spray chemical vertically downwards into the canopy, which results in less chemical reaching the bottom of the canopy. Thus, a new autonomous ground sprayer was developed using robotics and pulse width modulation, which travels between two rows covering the whole canopy of the plant. Field research was conducted to evaluate the (i) effect of duty cycles (20%,40%, and 60%) on droplet characteristic (droplet distribution, deposition, and drift potential), defoliation cotton fiber and (ii) effect of duty cycles on cotton yield and II fiber quality. Droplet characteristics (droplet distribution, density, and potential droplet drift) were non-significant across the treatments and results from the water‐sensitive paper field test showed adequate penetration with low flow rates. Therefore, a 20% duty cycle was sufficient to defoliate based on the result of the field experiment. Likewise, the defoliants could be applied safely at the duty cycles tested without influencing fiber quality except for nep/gm, length (Ln), L (5%), short fiber content (SFCn), trash content in field 1 and micronaire, nep size, length (Ln), span length (5%), SFC, and fiber fineness in field 2 which were significant. However, the 20% duty cycle significantly reduced the amount of defoliant and would be a good choice for the autonomous cotton defoliation. This is a significant development as there is a huge potential to save on the cost of applying defoliant chemicals and the environment

Reducing risk in pre-production investigations through undergraduate engineering projects.

This poster is the culmination of final year Bachelor of Engineering Technology (B.Eng.Tech) student projects in 2017 and 2018. The B.Eng.Tech is a level seven qualification that aligns with the Sydney accord for a three-year engineering degree and hence is internationally benchmarked. The enabling mechanism of these projects is the industry connectivity that creates real-world projects and highlights the benefits of the investigation of process at the technologist level. The methodologies we use are basic and transparent, with enough depth of technical knowledge to ensure the industry partners gain from the collaboration process. The process we use minimizes the disconnect between the student and the industry supervisor while maintaining the academic freedom of the student and the commercial sensitivities of the supervisor. The general motivation for this approach is the reduction of the entry cost of the industry to enable consideration of new technologies and thereby reducing risk to core business and shareholder profits. The poster presents several images and interpretive dialogue to explain the positive and negative aspects of the student process

A design framework for enabling sustainability in the clothing sector

This article discusses general strategies to enable environmental sustainability within the clothing sector, providing a framework for decision makers involved in the development of programs and policies for this sector. It initially revises the environmental impact of the clothing system and determines its key environmental sustainability priorities. The framework involves five evolutionary strategies for enabling sustainable consumption and production: 1) environmental improvement of flows throughout the supply chain; 2) environmental redesign of existing clothes; 3) design of new clothes intrinsically more sustainable; 4) design of cloth-service systems and 5) promoting life styles towards sufficient consumption. The practical implications of each strategy is analysed based on correspondent ex-post-facto case studies identified in Brazil, using data collected through literature review and desktop research