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Introduction
Luis Miranda currently works at the Faculty of Forest and Environment, Eberswalde University of Applied Sciences.
https://www.linkedin.com/in/luis-miranda-479b4215b/
Current institution
Publications
Publications (35)
Im Rahmen des Projekts "Beeinflussung des Raum-Zeit-Verhaltens von Rotwild (Cervus elaphus) durch großräumige Beweidungsprojekte auf ausgewählten DBU Naturerbeflächen" wurde zwischen 2014 und 2018 Rotwild mit GPS-GSM-Halsbandsendern markiert, die bis 2021 Daten lieferten. Untersucht wurden die Glücksburger und Oranienbaumer Heide in Sachsen-Anhalt...
Severe storm events cause significant biomass losses in European forests. In addition to direct storm damage, biotic, abiotic, and market-related factors contribute to further damage with far-reaching effects on forest and nature conservation. These subsequent damages can be minimized if the amount of damaged timber and its spatial distribution are...
Im Rahmen des Projekts "Beeinflussung des Raum-Zeit-Verhaltens von Rotwild (Cervus elaphus) durch großräumige Beweidungsprojekte auf ausgewählten DBU Naturerbeflächen" wurden seit 2014 insgesamt 53 Stück Rotwild mit GPS-GSM-Halsbandsendern markiert. Von 13 Tieren konnten Aktivitätsdaten ausgewertet werden. Untersucht wurden die Glücksburger und Ora...
The increasing number of severe storm events is threatening European forests. Besides the primary damages directly caused by storms, there are secondary damages such as bark beetle outbreaks and tertiary damages due to negative effects on the market. These subsequent damages can be minimized if a detailed overview of the affected area and the amoun...
This work presents an adaptive architecture that performs online learning and faces catastrophic forgetting issues by means of an episodic memory system and of prediction-error driven memory consolidation. In line with evidence from brain sciences, memories are retained depending on their congruence with the prior knowledge stored in the system. In...
This work presents an adaptive architecture that performs online learning and faces catastrophic forgetting issues by means of episodic memories and prediction-error driven memory consolidation. In line with evidences from the cognitive science and neuroscience, memories are retained depending on their congruency with the prior knowledge stored in...
This work deals with the portability of greenhouse models, as we believe that this is a challenge to their practical usage in control strategies under production conditions. We address this task by means of adaptive neural networks, which re-adjust their weights when transferred to new conditions. Such an adaptive account for computational models i...
Artificial neural networks (ANN) have been successfully used for modelling climate and plant signals in greenhouses. This work shows the combination of two ANN models, built and trained separately, and then coupled together. Both models were trained using a data set consisting of 3 complete cultivation periods (2011 until 2013) of 2 venlo-type gree...
Artificial neural networks (ANN) have been successfully used for modelling climate and plant signals in greenhouses. This work shows the combination of two ANN models, built and trained separately, and then coupled together. Both models were trained using a data set consisting of 3 complete cultivation periods (2011 until 2013) of 2 venlo-type gree...
Varying conditions of cultivation of vegetables inside a city’s boundaries were analyzed. As such, in the city of Berlin flower boxes with lettuce were installed at 20 spots at different heights, with different light conditions and air pollution levels. In order to exclude heavy metal uptake due to soil contamination, lettuce was seeded in a standa...
The trend in greenhouse automation systems is to listen to plant signals while trying to minimize the ecological footprint of the vegetable production. In this work,we present a model based on artificial neural networks (ANN), which can be used to support the measuring of plant signals and help to improve the reliability of the data collected. This...
Due to the fact that greenhouses need big amounts of energy (esp. for heating purposes in temperate zones), there is a growing interest on new technical systems to save energy and fossil resources. In this context, the inclusion of active solar thermal systems in greenhouses for energy harvesting and plant production represents an interesting solut...
Growing environmental and sustainability concerns have driven continual modernization of horticultural practices, especially for urban farming. Controlled environment and soilless production methods are increasing in popularity because of their efficient resource use and intensive cropping capabilities. However, some popular substrates used for hyd...
This study evaluated if an Artificial Intelligence climate forecasting model can be considered as a useful tool for saving energy in semi-closed greenhouses. Preliminary results are presented on the 5-Minutes prediction of the internal air temperature and humidity modeled with Artificial Neural Networks (ANN). Since the final goal of the simulation...
This study evaluated if an Artificial Intelligence climate forecasting model can be considered as a useful tool for saving energy in semi-closed greenhouses. Preliminary results are presented on the 5-Minutes prediction of the internal air temperature and humidity modeled with Artificial Neural Networks (ANN). Since the final goal of the simulation...
The water and carbon footprint of the presented dried tomato value chain is compared to the conventional process. The coupling of pre- and post-harvest processes, namely growing and drying respectively, is analyzed for resource consumption optimization. The growing system of tomatoes (Solanum lycopersicon L. cv, Pannovy) in an energy efficient gree...
Seit vielen Jahren wird das Konzept semigeschlossenes Gewächshaus für den Gemüsebau weiterentwickelt. Ziel ist es, den Heizenergiebedarf zu senken, die durch Verwendung fossiler Brennstoffe entstehenden CO2-Emissionen drastisch zu vermindern und höhere Erträge durch länger zu realisierende CO2-Anreicherung am Tage zu erzielen. Für die Wirtschaftlic...
We present an application of time-series prediction to the climate inside a greenhouse. We use an Artificial Neural Network (ANN) model to predict the air temperature and relative humidity inside the greenhouse 5 minutes in advance. Such a model generates a One Step Prediction (OSP). We iterate this OSP to get Long-Term Predictions (LTP), thus gene...
Das Prinzip geschlossener Gewächshäuser zur Nutzung solarer Überschusswärme stellt einen ressourcenschonenden Ansatz hinsichtlich des Energieaufwands im geschützten Gemü-seanbau dar. Dabei wird überschüssige Wärmeenergie mittels Kühlsystem dem Gewächs-haus entzogen und in einen Wärmespeicher geleitet (Abb. 1). Diese kann wiederum für Heizzwecke ein...
2009 to 2014, the joint research program ZINEG is carried out in Germany. Its main aim is to reduce the consumption of fossil fuels and hence the CO2 emissions up to 90% for production in greenhouses. At Humboldt University the research is focused on using a greenhouse system as solar thermal collector with above-ground heat storage. During the tom...
The main objective of this paper is to fit temperature and humidity as a natural system of ordinary differential equations for different scenarios with asymmetrical histograms, as well as satisfying somehow sensitivity and robustness by using their derivatives and integrals. First, the scenario with lower humidity corresponding to dry conditions is...
The limited supply of fossil fuels has increased the potential for using closed greenhouses or solar collector greenhouses, where the heat accumulation gives an opportunity to recover and store thermal energy. This study focuses on a Venlo-type semiclosed greenhouse (307 m2) equipped with cooling, heating, and CO2 enrichment. Also, there are additi...
Werden Gewächshäuser geschlossen betrieben, kommt es zu einer Akkumulation von Wasserdampf im Inneren. Dies kann phytosanitäre Probleme verursachen oder physiologische Funktionen wie die Fruchtbildung beeinflussen. Hierzu gibt es differente Aussagen. So konnte bei Versuchen am IGZ ein Zusammenhang zwischen hoher relativer Luftfeuchte und vermindert...
Um Gewächshäuser als Sonnenkollektoren zu nutzen, müssen Kühleinrichtungen im Inneren eingesetzt werden, um die überschüssige Wärme bei hohen solaren Einstrahlungsraten entziehen zu können. Aus physikalischer Sichtweise ist der Dachraum der geeignete Ort dafür, da warme und feuchte Luft infolge des Dichteunterschiedes aufsteigen. Deshalb wurden im...
The conventional method for calculating the heat demand in greenhouses uses the difference of inside and outside air temperature as well as heat consumption coefficients (Ucs-values). These values give an indication of the sensible heat loss at a temperature difference of 1 K on 1 m2 covering material. However, greenhouses also lose latent heat by...
