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Simplified energy modeling to investigate the effect of lighting strategies on the energy efficiency of container indoor farms

Wittmann, S.; Jüttner, I.; Mempel, H. (2022)

DGG-Proceedings 2021/10, 2, S. 1-7.
DOI: 10.5288/dgg-pr-10-02-sw-2021


Open Access
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Predicting shelf life along horticultural supply chains: Evaluation of applicable quality parameters using near-infrared scanner

Huneck, L.; Kulko, R.; Wittmann, S.; Elser, B.; Mempel, H. (2022)

DGG Proceedings 2021/10, 5, S. 1-8.
DOI: 10.5288/dgg-pr-10-05-lh-2021


Open Access
 

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 and
machine 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 parameters
capable of showing dynamic postharvest development, three horticultural products with different postharvest behavior (e. g. strawberry, table grape and mango) were chosen for
morphological 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.

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Vom Westallgäu bis zum Bodensee – 23. Juni 2022

Medienbeitrag, . (2022)

allgäu.tv.

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Mächtiges Grünzeug: So hilfreich und genial sind Pflanzen

Medienbeitrag, . (2022)

odysso - Wissen im SWR (Fernsehbeitrag des SWR), 23.06.2022.

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Energieeffiziente Regelstrategie in der Gewächshausproduktion

Medienbeitrag, . (2022)

Gärtner + Florist 06/2022.


Risiko Starkregen: Wie können wir uns vor Sturzfluten schützen?

Medienbeitrag, .; Meinken, E.; Schmitz, H. (2022)

UNKRAUT - Umweltmagazin des BR Fernsehen, Stand: 23.05.2022.

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HSWT: Heizkosten sparen mit dem "Weihenstephaner Modell"

Medienbeitrag, .; Stiele, V. (2022)

Gabot.de - Internet-Portal für den Erwerbsgartenbau. Online erschienen am 06.05.2022.

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Controlled deficit irrigation – effects on growth and water relations of Daucus carota L. roots

Herppich, W.; Mempel, H.; Schreiner, M.; Huyskens-Keil, S. (2022)

Acta Horticulturae ISHS2022, 1335, S. 681-686.
DOI: https://doi/org/10.17660/ActaHortic.2022.1335.86

 

Regulated deficit irrigation (RDI) comprises controlled reduction of irrigation during certain phases of plant development, accepting minor yield reduction but maximising net returns. To optimise RDI, plant response-based irrigation scheduling may be essential. For this, the knowledge of plant reactions to soil water regimes is indispensable. In field trials (randomized block design, 3 repetitions), ‘Nanthya’ carrots (F1-hybrid) were grown at 20, 40, 60 and 80% field capacity (determined by TDR sensors), yielding soil water contents of 5.1±0.2, 6.2±0.8, 10.1±0.5 and 11.2±0.2% (controls). To guarantee constant controlled soil water contents, plastic rain shelter (76% transparency) were applied. Plots were irrigated if necessary. Treatments started 23 d after sowing (DAS), first sampling was 91 DAS, while final harvest was 106 DAS. On each date, fresh and dry mass, water content, water potential, osmotic potential, turgor and stiffness of carrot tubers were analyzed. Root fresh mass (n=20 carrots per treatment) was higher at high water availability only at the 1st sampling but not at the final harvest. Here, water regime did not affect yield. At this time, root tuber water potential was lower than at the 1st sampling and it was also lower at low soil water availability (20%, 40%). Similar results were obtained for the mean osmotic potential. These variations partially resulted from osmotic adjustment (at 1st harvest) and from a lower root tuber water content at the final sampling. The generally higher modulus of elasticity at this date indicated water volume-independent cell wall-stiffening, i.e. elastic adjustment. The presented results point out that moderately reduced (by 20%) irrigation of carrots does not affect their yield, while pronounced water shortage may induce physiological adjustment.

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Efficiency of the electric energy consumption of an indoor farm by focusing on optimized lighting strategies

Wittmann, S.; Jüttner, I.; Liedl, P.; Mempel, H. (2022)

Acta Horticulturae ISHS 2022, 1337, S. 73-79.
DOI: 10.17660/ActaHortic.2022.1335.86

 

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.

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Etablierung torfreduzierter Erden und Substrate im Gartenbau: HSWT als Verbundpartnerin eines bundesweiten Modellprojekts

Newsmeldung HSWT, . (2022)

Forschung-News der HSWT, 01.04.2022.

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Präventives Wassermanagement im Obstbau

Werth, J.; Kittemann, D. (2022)

Obstbau 04/22, S. 236-238.

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Wie smart können Städte sein? - Interview u.a. mit Heike Mempel

Medienbeitrag, . (2022)

+3 Magazin (85), S. 4-8.

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Sensoren und digitale Kommunikationstechnik

Troidl, T.; Beck, M.; Dümig, A.; Peisl, S. (2022)

Gartenbauprofi 04/2022.


Ist torffreie Erde besser?

Medienbeitrag, . (2022)

Textbeitrag zur Podcast-Folge "Warum torffreie Erde gut für die Umwelt ist" vom 24.03.2022 auf Bayern 1.

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Warum torffreie Erde gut für die Umwelt ist

Medienbeitrag, . (2022)

Besser leben. Der BAYERN 1 Nachhaltigkeitspodcast, 24.03.2022.

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Gut für das Klima: Torffreie Erden im bayerischen Praxistest

Medienbeitrag, . (2022)

Beitrag des BR 24.

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VIELFALT LEBEN

Morarescu, C. (2022)

Esquire - Frühling 22, S. 109 - 111.


Bodensensoren für die Bewässerung

Troidl, T.; Beck, M.; Dümig, A.; Peisl, S. (2022)

Kartoffelbau 03/2022.


Die wichtigsten Begriffe zur Bewässerung im Überblick

Troidl, T.; Beck, M.; Dümig, A.; Peisl, S. (2022)

Gemüse 03/2022, S. 32-33.

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A Digital Advisor Twin for Crop Nitrogen Management

Weckesser, F.; Beck, M.; Hülsbergen, K.; Peisl, S. (2022)

Agriculture 12, 302 (2), S. 1-22.
DOI: 10.3390/agriculture12020302


Open Access
 

Farmers and consultants face an unmanageable amount of diverse knowledge and information for crop management decisions. To determine optimal actions, decision makers require knowledge-based support. In this way, decisions can be improved and heuristics can be replaced over time. The study presents a digital knowledge base with an integrated decision support system (DSS), using the example of nutrient supply, specifically nitrogen (N), fertilization. Therefore, the requirements of farmers and crop consultants for DSS to inform fertilization decisions for winter wheat (Triticum aestivum L.) were elaborated using surveys, expert interviews, and a prototype test. Semantic knowledge was enriched by expert knowledge and combined in a web application, the Crop Portal. To map regional and personal decision making patterns and experiences, the tacit knowledge on the complex advisory problem of N fertilization is made digitally usable. For this purpose, 16 fuzzy variables were specified and formalized. Individual decision trees and their interactions with an integrative knowledge base were used to multiply the consulting reach of experts. Using three consultants and nine model farms from different soil–climate areas in Germany, the Crop Portal was tested under practical conditions and the perceived pragmatic and hedonic quality of the system was evaluated using a standardized questionnaire. The field test showed that the variation in fertilizer recommendations from the ‘digital advisor twin’ ranged from 5 kg N ha−1 to 16 kg N ha−1 when compared with the decisions of the experts in the field. The study presents the participatory development and evaluation of a rule-based DSS prototype in agricultural practice.

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Institut für Gartenbau (IGB)

Hochschule Weihenstephan-Triesdorf

Institut für Gartenbau (IGB)
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