Visible-Near-Infrared Scanners enable a noninvasive prediction of quality properties of fruit and vegetable based on previously created models. A combination of NIR scanners andmachine learning methods can lead to economic improvements and reduction of food waste by strategies like "first expired, first out" and dynamic pricing. In order to identify parameterscapable of showing dynamic postharvest development, three horticultural products with different postharvest behavior (e. g. strawberry, table grape and mango) were chosen formorphological and statictical analysis. According to the results, a graduation of spectra in correspondence to the day of measurement was noticeable for strawberry regarding the a-value as well as presumingly mass loss for both mango and table grape. Furthermore, a PLS model for the a-values r2cv = 0.80 was developed for strawberries.
Mehr
Sabine Wittmann,
Ivonne Jüttner,
Dr. Petra Liedl,
Prof. Dr. Heike Susanne Mempel
Several lighting strategies in an indoor farm are compared regarding the annual electrical energy consumption. Based on measurements of the energy consumption during one experiment, conducted inside the indoor farm at the HSWT, an energy balancing model was calibrated and subsequently validated by a second experiment. The model was then used to calculate the potential reduction of the annual electrical energy consumption concerning several different lighting strategies. Furthermore, different settings of temperature set points and the impact of an optimized heat transfer coefficient as well as a more efficient performance for heating and cooling are considered. The measured and the modeled energy consumption and the values regained by the model showed a high regression coefficient (R2=0.936). The prediction of the energy consumption during the second experiment was also possible (R2=0.738) with a total difference to the measured consumption of 29.1 kWh. Regarding the given technical settings of the indoor farm, the annual electrical energy consumption can be reduced by up to 16% by an adjustment of the temperature strategy while reaching a similar yield. By assuming an optimized technical setting, the relevance of the lighting strategy increased significantly. Based upon this an annual reduction of the electrical energy consumption of up to 21% seemed conceivable.
Mehr
Laurens Huneck,
Roman-David Kulko,
Sabine Wittmann,
Benedikt Elser,
Prof. Dr. Heike Susanne Mempel
Berechtigungen: Peer Reviewed
Predicting shelf life along horticultural supply chains: Evaluation of applicable quality parameters using near-infrared scanner (2021) DGG-Proceedings 2021, Vol. 10, No. 5, p. 1-8 .
DOI: 10.5288/dgg-pr-10-05-lh-2021
Vorträge
Sabine Wittmann
Indoor Vertical Farming – impact on resource efficiencies (2023) Vortrag beim "Best Talk" at the 9th HEFagrar PhD Symposium on April 25th, 2023 .
Sabine Wittmann,
Ivonne Jüttner,
Prof. Dr. Heike Susanne Mempel
Fruit vegetables in indoor farming – potential of chili pepper production (2022) 31. International Horticultural Congress (IHC2022): International Symposium on Advances in Vertical Farming .
Zeitschriftenbeiträge
Sabine Wittmann,
Eleonora Itri,
Prof. Dr. Heike Susanne Mempel
Vertical Indoor Farming
Potenzial für die Produktion von pflanzlichen Rohstoffen für die Lebensmittel- und die pharmazeutische Industrie (2022) Rundschau für Fleischhygiene und Lebensmittelüberwachung 2022 (12), S. 400-402.
Sabine Wittmann,
Eleonora Itri,
Prof. Dr. Heike Susanne Mempel
Berechtigungen: Open Access
Indoor Vertical Farming, Potenzial zur Pflanzlichen Rohstoffproduktion für die Lebensmittel- und Pharmaindustrie (2022) FOOD-Lab Fachmagazin für Qualitätsmanagement, Analytik und Nachhaltigkeit 2022 (4), S. 14-19.
Wissenschaftliche Poster
Ivonne Jüttner,
Nicolas Mauser,
Sabine Wittmann,
Eleonora Itri,
Prof. Dr. Heike Susanne Mempel
Development of an indoor farming cultivation process for Rhodiola rosea, using an aeroponic and deep-water irrigation method (2022) 31. International Horticultural Congress (IHC2022); International Symposium on advances in Vertical Farming .
Sabine Wittmann,
Ivonne Jüttner,
Prof. Dr. Heike Susanne Mempel
Pulsed light − optimal ratio between yield and energy reduction (2022)
Ivonne Jüttner,
B.Sc. Julian Hecht,
,
Sabine Wittmann,
Prof. Dr. Heike Susanne Mempel
Influence of different light spectra on growth and quality of Rosmarinus officinalis cultivars in a deep- water vertical indoor farming system (2022) 31. International Horticultural Congress (IHC2022): International Symposium on Advances in Vertical Farming .
Zeitschriftenbeiträge (peer-reviewed)
Prof. Dr. Heike Susanne Mempel,
Ivonne Jüttner,
Sabine Wittmann
Plant production in indoor farming systems offers significant advantages compared to open field orgreenhouse production systems. Especially in terms of quality and the ability for automation the system is superior to the conventional production systems. Concerning resource consumption indoor farming has considerable advantages in regard to water consumption and the use of pesticides.The main disadvantage is the high consumption of electrical energy. Taking advantage of the specific benefits or eliminating the disadvantages, for example by using renewable energies, different potentials and fields of application for indoorfarming arise.The paper outlines the potentials and future fields of application of indoor farming considering the specific differences to conventional production systems related to resource consumption, quality and automation.
Mehr
Sabine Wittmann,
Ivonne Jüttner,
B.Sc. Marvin Spence,
Prof. Dr. Heike Susanne Mempel
Climate change and increasing global urbanization accelerate the expansion of protected cultivation systems. However, certain dependences to external weather conditions remain even in modern greenhouses. Indoor vertical farming, on the other hand, pursues complete inde-pendence from external weather conditions with the aim for highly accurate control of all crop parameters. Particularly with regard to the advancing climate change and the need for sustainable resource consumption, there are clear advantages due to the year-round and independent cultivation of plants and raw materials under optimal conditions. The complexity in the optimal networking of the plant-technology systems offers intensive development opportunities for dig-itization and interdisciplinary collaboration.
Mehr
M.Sc. Simon Goisser,
Sabine Wittmann,
Prof. Dr. Heike Susanne Mempel
In the past few years, portable and smartphone-based diagnostic technologies have found their way into the agri-food industry. The aim of this research was to evaluate the perfor-mance of portable near-infrared (NIR) spectrometers, so called food-scanners, with regard to their predictive accuracy of important quality parameters of fruit and vegetables. Food-scan-ner measurements were performed in combination with destructive measurements of the corresponding quality trait (sugar content, dry matter, relative water content) on a wide range of produce from the fruit and vegetable assortment. This study evaluated dry matter content of apple, avocado, blueberry, table grape and tangerine, which yielded cross validation re-sults (r²) of up to 0.95, 0.87, 0.94, 0.92 and 0.92 respectively. Furthermore, the evaluation of food-scanner spectra for the prediction of sugar content of blueberry, kiwi, mango, persim-mon, table grape, tangerine and tomato yielded cross validations (r²) of up to 0.95, 0.84, 0.80, 0.75, 0.95, 0.93, and 0.87. Furthermore, relative water content of ginger obtained a cross val-idation correlation of r² = 0.91. The results show that these traits can be predicted with a high degree of accuracy using non-destructive measurements performed with three commercially available food-scanners SCiOTM, F-750 Produce Quality Meter, and H-100F. Consequently, food-scanners can be used as objective measurement tools along the supply chain of fresh produce to quickly determine fruit quality. In addition, a practical example shows the poten-tial of these instruments for non-destructive quality assessment in incoming goods control at fruit and vegetable wholesalers over a time period of several weeks. Furthermore, possible areas of application of food-scanners along the supply chain of fresh produce are discussed, possibilities for practical applications are presented and time-saving means are highlightedLANDTECHNIK 76(1), 2021, 52–67Food-scanner applications in the fruit and vegetable sectorSimon Goisser, Sabine Wittmann, Heike MempelIn the past few years, portable and smartphone-based diagnostic technologies have found their way into the agri-food industry. The aim of this research was to evaluate the perfor-mance of portable near-infrared (NIR) spectrometers, so called food-scanners, with regard to their predictive accuracy of important quality parameters of fruit and vegetables. Food-scan-ner measurements were performed in combination with destructive measurements of the corresponding quality trait (sugar content, dry matter, relative water content) on a wide range of produce from the fruit and vegetable assortment. This study evaluated dry matter content of apple, avocado, blueberry, table grape and tangerine, which yielded cross validation re-sults (r²) of up to 0.95, 0.87, 0.94, 0.92 and 0.92 respectively. Furthermore, the evaluation of food-scanner spectra for the prediction of sugar content of blueberry, kiwi, mango, persim-mon, table grape, tangerine and tomato yielded cross validations (r²) of up to 0.95, 0.84, 0.80, 0.75, 0.95, 0.93, and 0.87. Furthermore, relative water content of ginger obtained a cross val-idation correlation of r² = 0.91. The results show that these traits can be predicted with a high degree of accuracy using non-destructive measurements performed with three commercially available food-scanners SCiOTM, F-750 Produce Quality Meter, and H-100F. Consequently, food-scanners can be used as objective measurement tools along the supply chain of fresh produce to quickly determine fruit quality. In addition, a practical example shows the poten-tial of these instruments for non-destructive quality assessment in incoming goods control at fruit and vegetable wholesalers over a time period of several weeks. Furthermore, possible areas of application of food-scanners along the supply chain of fresh produce are discussed, possibilities for practical applications are presented and time-saving means are highlighted.
Ziel des Vorhabens ist es, das Know-how der drei forschenden Einrichtungen HSWT, LfL und TUM in einer Weihenstephaner Forschungsallianz zu vernetzen und neue Lösungen zur Produktion von pflanzlichen …
Ziel ist die Entwicklung eines neuen nachhaltigen Substrats basierend auf regional produzierten Naturfasern, welches die hohen Anforderungen der Hydroponik in Gewächshäusern und Indoor Farms erfüllt …
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