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Aufgrund seiner starken Umweltauswirkungen gilt der Nahrungsmittelsektor durch Effekte in Produktion, Verarbeitung, Konsum und Entsorgung gemeinhin als ein wichtiges Handlungsfeld, soll eine gesellschaftliche Transformation in Richtung Nachhaltigkeit weiter vorangetrieben werden. Insofern Ernährungsgewohnheiten sowohl ökologische Auswirkungen induzieren als auch gesundheitliche Folgen für die Verbraucher haben, sind Konzepte gefragt, die ökologische mit gesundheitlichen Indikatoren kombinieren; diese sind jedoch bislang rar. Das vorgestellte Instrument des Nutritional Footprint greift diese Problemstellung auf und verbindet jeweils vier Kernindikatoren beider Dimensionen. Mit Hilfe des Konzeptes erhalten Verbraucher einen Überblick zu Umwelt- und Gesundheitswirkungen ihrer Ernährung. Unternehmen können wiederum interne Datensätze verwalten, Benchmarking betreiben und ihre externe Kommunikationsleistung erweitern.
Werkstattbericht zum Projekt NAHGast, Fokus: ‚Leitbild nachhaltiger Gemeinschaftsverpflegung‘
(2016)
Response of petunia to wood fibre amended peat substrate under ebb-and-flow irrigation (Abstract)
(2024)
Test von Schnellverfahren zur Bestimmung der Benetzungseigenschaften von Kultursubstraten (Abstract)
(2024)
Enhancing the nutritional value of pears through agronomic biofortification with iodine (Abstract)
(2024)
Recent real-time networking developments have enabled ultra reliability, very low latency and high data rates in wired networks. Wireless networking developments have also shown that they can achieve very high data rates with consistency, but they still lack in providing ultra reliability and extremely low latency. Time Sensitive Networking (TSN) developments have brought these capabilities in Industry automation and Automotive industry too. Although TSN is standardized for wired networks for a long time, for wireless networks it will be standardized within the IEEE 802.11be standard for Wi-Fi and 3GPP Release 17 for 5G in the near future. This paper provides an overview of TSN in wired and wireless networks with the aim of comparing different simulators and presenting their offered functionality and shortcomings. These tools can be used to make oneself familiar with TSN algorithms, standards, and for the development and testing of time sensitive networks. Afterwards, the paper discusses open research questions for using TSN over wireless networks.
This paper presents a framework for OMNeT++ which includes time synchronization model for WLANs. Synchronization is based on the Generalized Precision Time Protocol (gPTP) standard, which aims to achieve an accuracy of less than 100 nanoseconds. The presented model is developed and implemented in OMNeT++, a discrete event network simulator, using its INET library. A new type of WLAN node is modeled which supports time synchronization at the Link layer. A clock module for WLAN nodes is also modeled which implements variable clock drift to simulate noise interference in clock frequency oscillators. Simulations with our WLAN nodes are done and the results show that using gPTP based time synchronization in wireless networks, accuracy of ±3ns can be achieved.
Long Range Wide Area Network (LoRaWAN) operates in the ISM band with 868 MHz, where the Time on Air (ToA) is regulated in the EU to 1 %. LoRaWAN nodes use the Adaptive Data Rate (ADR) algorithm to adapt their data rates during operation. The standard ADR algorithm works well with stationary nodes, however is very slow in the adaptation for mobile nodes. This paper introduces a new ADR algorithm for LoRaWAN that is supported by higher level meta-data for sensor streams, namely Quality of Information (QoI). With the help of QoI it is possible to provide additional information to the new ADR algorithm, reducing the convergence time and thus improving the Packet Delivery Ratio (PDR) of data from mobile sensor nodes. The new algorithm requires only modifications on network server side and keeps backwards compatibility with LoRaWAN nodes. Results show a significant better PDR compared to the standard ADR in scenarios with a limited number of mobile nodes.
Auf vielen Landmaschinen wird der CAN-Bus zur Übertragung von Daten zwischen Sensoren, Aktoren und Steuergeräten genutzt. Anwendungen wie Rückfahrkameras und Bird-ViewAnzeigen erfordern in der Regel zusätzliche, breitbandige Kommunikationskanäle. Dieser Beitrag untersucht, inwieweit ein gemeinschaftliches Kommunikationsmedium auf Basis von Ethernet zur Realisierung aktueller und zukünftiger Anwendungen auf Landmaschinen genutzt werden kann. Zusätzlich wird der Einsatz aktueller Technologien wie Audio/Video Bridging, Time-Sensitive Networking und Wifi auf einem Landmaschinengespann untersucht und bewertet.
Analysis of methods for prioritizing critical data transmissions in agricultural vehicular networks
(2020)
Applying wireless communication technologies to agricultural vehicular networks often results in high end-to-end delays and loss of packets due to intermittent or broken connectivity. This paper analyses the methods for the successful delivery of the vehicular data within acceptable delay times. Different kinds of data that are generated and transmitted in agricultural networks are considered in this paper, followed by the data prioritization methods which allow critical data to be prioritized against other data. In this regard, Enhanced Distributed Channel Access, Differentiated Services, and application-based data rate variation are discussed in conjunction with the Simple Network Management Protocol. These techniques are simulated or tested separately and then together and the results show that even in poor network conditions, high-prioritized data is not lost or delayed.
Die Digitalisierung des Bodenbeprobungsverfahrens mit einer automatisierten Generierung einer Düngeempfehlung auf Grundlage der analysierten Bodennährstoffgehalte – direkt nach Beendigung der Bodenbeprobung auf dem Acker – ist ein übergeordnetes Ziel bei der Nutzung des mobilen Feldlabors „soil2data“. Neben den Bodennährstoffanalyse-Ergebnissen sind für die Umsetzung einer automatisierten generierten Düngeempfehlung weitere Informationen notwendig.
Die Quellen dieser Informationen haben einen unterschiedlichen Ursprung. Es sind Daten aus verschiedenen Quellen vom Bewirtschafter, von Dienstleistern und vom mobilen Feldlabor, welche miteinander verknüpft und synchronisiert werden müssen. Für einen automatisierten Prozessablauf zur Generierung einer Düngeempfehlung ist die Datenorganisation eine essenzielle Voraussetzung. Die Grundlage der Empfehlung sind die Tabellenwerke der offiziellen Düngeempfehlung, die bei den für die Düngung zuständigen Behörden der Bundesländer vorliegen. In dieser Publikation werden die notwendigen Daten und der Prozessdatenfluss für die Bodenbeprobung und Düngeempfehlung-Generierung beschrieben und grafisch dargestellt.
Knowledge of the small-scale nutrient status of arable land is an important basis for optimizing fertilizer use in crop production. A mobile field laboratory opens up the possibility of carrying out soil sampling and nutrient analysis directly on the field. In addition to the benefits of fast data availability and the avoidance of soil material transport to the laboratory, it provides a future foundation for advanced application options, e.g. a high sampling density, sampling of small sub-fields or dynamic adaptation of the sampling line during field sampling. An innovative key component is the NUTRI-STAT ISFET sensor module. It measures values for the ions "NO3- ”, “H2PO4- " and "K+ " as well as the pH. The ISFET sensor module was specially developed for soil nutrient analysis. The phosphorus measurement was further developed for the project "soil2data". First results from the ISFET sensor module show a measurement signal settling time of significantly less than 100 seconds and a further consistent stable measurement signal. The measurement signal dynamics of approx. 58 mV per factor 10 of concentration change is given for the measured variables pH and K+. For the measured quantities of NO3- and H2PO4- , the measurement signal dynamics are lower.
Fütterung von Zuchtstuten
(2021)
Fütterung von Jungpferden
(2021)
Shredlage in der Bullenmast
(2021)
Fütterung von Sportpferden
(2021)
Piglets experience a high level of stress upon weaning due to changes in social structures and feeding. Incorporation of flavors in the maternal diet might be a promising tool to prenatally modulate flavor preferences of the offspring and prevent neophobia. This study aimed to evaluate if the supplementation of the maternal diet with Spicemaster GH 501, an intense, plant-based herbal flavor, could affect feed preferences of early-weaned piglets and thus improve feed intake, performance, and overall health conditions. On approx. day 95 of gestation, 59 pregnant sows (DanZucht) were separated into two groups. The control group received commercial gestation and lactation feeds without flavor, while the trial group received diets with added flavor (400 g/t Spicemaster GH 501). After weaning, 272 piglets from both groups were rehoused and given an early-grower feed, which was consistently supplemented in both groups with 400 g/t Spicemaster GH 501 throughout the whole trial. Strikingly, the trial group, which was prenatally exposed to the flavor, gained significantly more weight during the initial phase after weaning. Moreover, the trial group was less prone to develop ear tip necrosis and displayed an improved general health condition, which was reflected in a reduced number of antibiotic treatments during the duration of the trial. Collectively, the incorporation of flavoring compounds in the maternal diet provides a powerful mechanism to shape taste preferences in early-weaned piglets and conse-quently reduce stress levels and susceptibility to infections.
Piglets experience a high level of stress during the onset of the fattening phase due to changes in social structures and feeding. Incorporation of flavors in the feed supports constant levels of feed intake thus avoiding drops in performance. This study aimed to evaluate if a combination of vanilla and fruity flavors could maintain high interest in variable feeds across different ages. 384 crossbred (Topigs 20 x Piétrain) piglets were separated at weaning into two groups (eight pens per group: four pens with females and four pens with uncastrated males; 24 animals per pen), according to gender and weight. The control group received commercial starter feeds without flavor, while the other group received diets with added flavor (500 g/t Cuxarom Fruit 210, a sweetish, berry multifruit note combined with creamy vanilla). After 49 days, 264 animals from both groups were rehoused and given an early-grower feed with or without added flavor for 7 days. Consequently, animals from the trial group again received flavor-supplemented feed and vice versa. During the early-grower phase, the feed intake of the trial group was 11.2% higher than that of the control group. Moreover, the trial group gained significantly more weight during the early-grower phase (+12.2%) in comparison to the control group. This indicates that the animals prefer the flavor they were familiarized with during the starter phase. This memory effect leads to an increased feed intake and weight gain in early-grower pigs and can counteract drops in performance, particularly when mixing animals or transitioning.
Water retention properties of wood fiber based growing media and their impact on irrigation strategy
(2024)
Distribution of water and air in growing media during ebb-and-flow irrigation depends on water storage properties (water retention curve) and water transport properties (hydraulic conductivity) of the materials. Growing media with their high number of coarse pores are known to exhibit strong hysteresis, i.e., differences in the water retention properties during drying and wetting cycles. To account for potential ecological disadvantages of peat, wood fibers are commonly used as substitutes for peat in growing media. However, the wood fibers generally have higher air capacities and hydraulic conductivities and lower water capacities compared to peat which may results in necessary adaptions of the irrigation strategy. Tools to optimize irrigation systems are physically based water transport models, such as HYDRUS-1D, which is commonly used to describe water transport in soils, but not often for growing media. In this study, white peat and pure wood fibers were used to describe differences in their water retention behavior. Water retention curves (drying cycles) and hydraulic conductivities were measured with standard analytical procedures. Hysteresis of the water retention curves was analytically determined based on their capillary rise properties. The results were used with a modified HYDRUS-1D model to test model quality against measured water contents during ebb-and-flow irrigation cycles and to optimize the irrigation strategy for the different materials. The results showed that the model quality was sufficiently good only if the strong hysteresis of the water retention curves was considered during the simulation process. Different strategies were tested to modify ebb-and-flow irrigation (irrigation frequency, irrigation duration and irrigation height) in that way that the water suction in the root zone was similar to that of the peat material. Simulation results showed that significant improvements could only be reached by increasing the flooding depth in ebb-and-flow systems to ensure an optimum water supply of plants in the wood fiber based growing media.
Knowledge of the maximum friction coefficient µmax between tire and road is necessary for implementing autonomous driving. As this coefficient cannot be measured via existing serial vehicle sensors, µmax estimation is a challenging field in modern automotive research. In particular, model-based approaches are applied, which are limited in the estimation accuracy by the physical vehicle model. Therefore, this paper presents a data-based µmax estimation using serial vehicle sensors. For this purpose, recurrent artificial neural networks are trained, validated, and tested based on driving maneuvers carried out with a test vehicle showing improved results compared to the model-based algorithm from previous works.
Wood fibers can contribute to replacing peat in growing media and thus help to protect peatlands. As domestic, renewable raw materials, they represent a sustainable option for this purpose. To date, however, wood fibers are usually used as a peat substitute at a maxi-mum of 30% (v/v). A main reason for this limitation is the insufficient microbial stability of wood fibers, which favors nitrogen immobilization and can thus impair nitrogen supply of plants. To address this drawback, in this study wood fibers were subjected to different thermal or thermal-hydrolytic treatments. Seedling tests with napa cabbage were conducted to determine whether treated wood fibers were free of phytotoxic substances. Mixtures with 50% (v/v) wood fiber and white peat each were used. In addition, three wood fiber varieties were evaluated in the cultivation of petunia. Two wood fiber proportions (30 and 60% v/v) and two nitrogen fertilization rates (common and increased supply) were included in each case. In the seedling trial with napa cabbage, no phytotoxic effects were detectable in any of the wood fiber variants investigated. However, when cultivating petunias, both shoot mass growth and number of flowers decreased with increasing wood fiber content. In substrates with a wood fiber content of 60% (v/v), plant development was inhibited so severely that the petunias no longer achieved marketable quality. Increased nitrogen fertilization was able to compensate for this negative effect only in few cases. This suggests that other factors than nitrogen limited plant growth in wood fiber-rich substrates. Among others, physical proper-ties such as the lower water capacity of wood fibers may be a cause. More in-depth investigations are still required in this regard.
Wirkung eines Vitamin D3-Metaboliten (25-OH-D3) auf den Geburtsverlauf von hochleistenden Sauen
(2022)
Computer-image processing becomes more and more important in the analysis of data in biological and agricultural research and practice. However, robust image processing is highly de pendent on the histogram analysis algorithms used and the quality of the data being processed. The algorithm presented here aims to improve the accuracy of the classification of image data generated under complex boundary situations and inconsistent lighting conditions. Using the example of the determination of nitrogen content of tomato leaves and the qualitative determination of starch con tent of apples on the basis of color image processing, we showed that the developed algorithm is able to perform a robust classification and represents an improvement to simple histogram analysis.
Within the consortium “Experimentation Field Agro-Nordwest”, a practical concept for knowledge and technology transfer of digital competence in agriculture was created. For this purpose, the web-based e-learning system “SensX” was set up, consisting of videos, presentations and instructions. In addition, the classical e-learning concept was extended by data sets, student experiments and sensor data of plants acquired by a remote phenotyping robot. This resulted in a massive open online course (MOOC), which was tested with agricultural and biotechnology students in higher education at the University of Applied Sciences Osnabrück over two years. The evaluation process of “SensX” included an empirical survey, qualitative interviews of the participating students by an external institution and an evaluation of the concept by the lecturers.
Fütterung von Zuchtstuten
(2022)
Fütterung von Jungpferden
(2022)
Auf der dritten Strategietagung Nachhaltigkeit wurde deutlich, dass Nachhaltigkeit breit angelegte Veränderungen in Staat, Gesellschaft und Unternehmen erfordert. Diakonische Unternehmen sind hochmotiviert und bestens geeignet, diese Änderungen zu vollziehen. Sie haben sich längst auf den Weg gemacht, neben der ökologischen auch die soziale Nachhaltigkeit zu befördern. Es hat für Frustration gesorgt, dass Themen besprochen werden mussten, die bereits bei der ersten Tagung als dringend identifiziert worden waren. Dem gegenüber standen aber die Beispiele aus den Unternehmen, die zeigten, dass bereits im bestehenden Rahmen viele entscheidende Verbesserungen möglich sind. Immer mehr diakonische Unternehmen entwickeln Nachhaltigkeitsstrategien und installieren ein Nachhaltigkeitsmanagement. Die Berichterstattung, z.B. in Form von CO2-Bilanzen oder Nachhaltigkeitsberichten nach anerkannten Standards wie EMAS-plus, DNK oder GWÖ, wird zügig ausgebaut. Soweit Daten vorhanden sind, konnten die CO2-Emissionen bereits signifikant reduziert werden. Zudem, das wurde an vielen Punkten der Tagung klar, stellten die Beteiligten eine stark gewachsene Bereitschaft in der Politik fest, die Nachhaltigkeits- und Klimaziele zu konkretisieren und Maßnahmen gegen den Klimawandel ressortübergreifend und engagiert auf den Weg zu bringen.