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    Adaptation of quadrocopters for autonomous use in greenhouses

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    The technical report describes in a poster issue the developments of hardware and software in the FlyingData project of the Federal Ministry of Food and Agriculture (BMEL), Germany. The project was carried out by Osnabrück University of Applied Sciences together with industrial partners. A quadrocopter prototype was created that can autonomously fly routes in the greenhouse without GPS signals. The Report information includes all hardware and software components used for the development

    Microbiome and dietary antioxidants in human health enhancement

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    Stadtbäume für die übernächste Generation - Keine Angst vor Klimabäumen (Teil 2)

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    Durch die Auswirkungen des Klimawandels – besonders durch Hitze – geraten viele indigene Baumarten innerhalb der nächsten 75 Jahre voraussichtlich an den Rand ihrer Existenz. Der Stadtstandort stellt eine zusätzliche Herausforderung dar, der durch menschliche Aktivitäten negativ, aber auch positiv beeinflusst werden kann. Besonders die Wasserverfügbarkeit kann durch geeignete vegetationstechnische Maßnahmen und intelligente Profilierung von Oberflächen befördert werden. Die Vegetation wird sich verändern. Mit gebietseinheimischen Genotypen und natürlicher Migration hitzeverträglicher Arten alleine lassen sich unsere Probleme nicht lösen. Wir brauchen Bäume in der Stadt, die beschatten und verdunsten. Lösungsansätze sind die vielfältige Anpflanzung hitzeresistenter Genotypen indigener Arten, neuer, submediterraner Arten aus Süd- und Südosteuropa (assisted migration) sowie klimatoleranter Arten anderer Kontinente. Es ist allerdings davon auszugehen, dass sich diese Arten dann bei uns auch etablieren werden. Und das ist bei der durch die Eiszeiten verarmten Gehölzflora Mitteleuropas und für lebenswerte Städte auch gut so

    Preparation of the certification according to IFS Global Markets Food in the Landshuter Brauhaus AG private brewery for the location Ellermühle

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    The objective of this article is to prepare for the initial certification according to IFS Global Markets Food V3 at the Landshuter Brauhaus AG private brewery at the Ellermühle site, which is expected in August 2025, and to create the basis for a potential follow-up certification according to IFS Food. The IFS Global Markets Food Program V3 is a standardized, voluntary and non-accredited assessment program for food companies, both for retail and manufacturer brand products (IFS 2023, p. 10 f.). It is based on the specifications of the Global Markets Program developed in 2008 (GFSI 2023a; VDOE 2020, p. 620). The methodology of the target/actual analysis was used to work on the topic in order to be able to carry out a conformity check with regard to the requirements of IFS Global Markets Food V3 (see Appendix 3; IFS 2023). Observations, document analyses and employee surveys were carried out to obtain the most meaningful information possible. These have been recorded and evaluated within the target-performance analysis. A total of 65 deviations (equivalent to 53.7%) were identified at the basic level, and 60 deviations (equivalent to 82.2%) at the intermediate level. These were either processed as directly implemented corrective actions or formulated as recommendations for continuous improvement in the form of an action plan (see Appendix 15). The presentation of the action plan shows the deviations, the resulting measures, the associated responsibilities, the time period with the starting point and end point of the measures, and the current status. In addition a subdivision into "Basic" and "+Intermediate" was made for a better overview in the subsequent processing by the brewery. A review as well as assessment of relevant requirements with regard to processes and significant violations after completion of the new building and commissioning at the Ellermühle site with regard to correlation with a potential "major" rating is recommended on the part of the operations manager or brewmaster (IFS 2023, p. 30)

    Effects of sample pre-treatments on the analysis of liquid organic manures by visible and near-infrared spectrometry

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    Proper application of a fertilizer requires precise knowledge of its nutrient composition. In the case of liquid organic manures (LOM), this information is often lacking due to heterogeneous nature of these fertilizers. Published “book values” of nutrient contents present the average from a wide range of possible nutrient characteristics, but usually differ considerably from the concentration in a particular manure. Thus, chemical analyses are recommended before applying the specific LOM. Unfortunately, this is usually too costly and time-intensive in practical farming. On-farm analysis by optical spectrometry in the visible and near-infrared (Vis-NIR) range is considered as an efficient alternative. However, calibration of Vis-NIR spectrometry for LOM is challenging as shown in many studies. One reason is LOMs’ tendency to rapidly segregate into a fuzzy continuum with liquid and solid properties. By separating LOM into well-defined liquid and solid phases and measuring them separately, calibration of Vis-NIR spectrometry might be improved. In this study, the effects of four sample pre-treatment techniques on the prediction accuracy of macronutrients (N, P, K, Mg, Ca, S), micronutrients (B, Mn, Fe, Cu, Zn), dry matter and pH of LOM using visible and near infrared spectrometry were comprehensively investigated. The concentrations were referred either to wet basis or to dry matter basis. For the study, a total of 163 samples, separated in two similar LOM sets (pig, cattle, digestates), were either dried, filtered, or centrifuged and always compared to non-treated samples. The experiments demonstrate that in comparison to raw samples (Ø r2 = 0.85) neither filtering (Ø r2 = 0.76 for filtrates and Ø r2 = 0.71 for filter residues), centrifugation (Ø r2 = 0.59 for supernatants and Ø r2 = 0.79 for pellets), nor drying (Ø r2 = 0.74) revealed to be a helpful preparation step significantly improving prediction results, independent from referring to wet or dry basis concentrations

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