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Journal articles on the topic 'Microclimate sensor'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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1

Henderson, Scott, David Gholami, and Youbin Zheng. "Soil Moisture Sensor-based Systems are Suitable for Monitoring and Controlling Irrigation of Greenhouse Crops." HortScience 53, no. 4 (2018): 552–59. http://dx.doi.org/10.21273/hortsci12676-17.

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Sensor-based feedback control irrigation systems have been increasingly explored for greenhouse applications. However, the relationships between microclimate variation, plant water usage, and growth are not well understood. A series of trials were conducted to investigate the microclimate variations in different greenhouses and whether a soil moisture sensor-based system can be used in monitoring and controlling irrigation in greenhouse crop productions. Ocimum basilicum ‘Genovese Gigante’ basil and Campanula portenschlagiana ‘Get Mee’ bellflowers were monitored using soil moisture sensors for

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Graham, Eric A., Mark Hansen, William J. Kaiser, Yeung Lam, Eric Yuen, and Philip W. Rundel. "Dynamic Microclimate Boundaries across a Sharp Tropical Rainforest–Clearing Edge." Remote Sensing 13, no. 9 (2021): 1646. http://dx.doi.org/10.3390/rs13091646.

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As landscapes become increasingly fragmented, research into impacts from disturbance and how edges affect vegetation and community structure has become more important. Descriptive studies on how microclimate changes across sharp transition zones have long existed in the literature and recently more attention has been focused on understanding the dynamic patterns of microclimate associated with forest edges. Increasing concern about forest fragmentation has led to new technologies for modeling forest microclimates. However, forest boundaries pose important challenges to not only microclimate mo

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Pieters, Olivier, Emiel Deprost, Jonas Van Der Van Der Donckt, et al. "MIRRA: A Modular and Cost-Effective Microclimate Monitoring System for Real-Time Remote Applications." Sensors 21, no. 13 (2021): 4615. http://dx.doi.org/10.3390/s21134615.

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Monitoring climate change, and its impacts on ecological, agricultural, and other societal systems, is often based on temperature data derived from official weather stations. Yet, these data do not capture most microclimates, influenced by soil, vegetation and topography, operating at spatial scales relevant to the majority of organisms on Earth. Detecting and attributing climate change impacts with confidence and certainty will only be possible by a better quantification of temperature changes in forests, croplands, mountains, shrublands, and other remote habitats. There is an urgent need for

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Zhang, Rui Rui, Shang Feng Du, Li Ping Chen, Gang Xu, and Jie Kan. "A Microclimate Monitor Sensor Network with an Effective Data Aggression Algorithm." Applied Mechanics and Materials 490-491 (January 2014): 1209–16. http://dx.doi.org/10.4028/www.scientific.net/amm.490-491.1209.

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Wireless sensor network technology has the potential to reveal fine-grained, dynamic changes in monitored variables of outdoor landscape. But there are significant problems to be overcome in order to realize the vision in working systems, such as effective utilize of energy, prolong network life and improve sensor accuracy. This paper describes the design and evaluation of a sensor network with an effective data aggression algorithm applied in orchard microclimate monitor. A novel feature of the solution is its data compression algorithm design, in which all sensors were encoded with Morton co

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Aalto, Iris Johanna, Eduardo Eiji Maeda, Janne Heiskanen, Eljas Kullervo Aalto, and Petri Kauko Emil Pellikka. "Strong influence of trees outside forest in regulating microclimate of intensively modified Afromontane landscapes." Biogeosciences 19, no. 17 (2022): 4227–47. http://dx.doi.org/10.5194/bg-19-4227-2022.

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Abstract. Climate change is expected to have detrimental consequences on fragile ecosystems, threatening biodiversity, as well as food security of millions of people. Trees are likely to play a central role in mitigating these impacts. The microclimatic conditions below tree canopies usually differ substantially from the ambient macroclimate as vegetation can buffer temperature changes and variability. Trees cool down their surroundings through several biophysical mechanisms, and the cooling benefits occur also with trees outside forest. The aim of this study was to examine the effect of canop

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Teichmann, Florian, Alexander Pichlhöfer, Abdulah Sulejmanovski, and Azra Korjenic. "Measurement Errors When Measuring Temperature in the Sun." Sensors 24, no. 5 (2024): 1564. http://dx.doi.org/10.3390/s24051564.

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In the validation of microclimate simulation software, the comparison of simulation results with on-site measurements is a common practice. To ensure reliable validation, it is crucial to utilize high-quality temperature sensors with a deviation smaller than the average absolute error of the simulation software. However, previous validation campaigns have identified significant absolute errors, particularly during periods of high solar radiation, possibly attributed to the use of non-ventilated radiation shields. This study addresses the issue by introducing a ventilated radiation shield creat

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Ren, Jinjing, Runfa Li, Fengshuo Jia, et al. "Fine-Granularity Urban Microclimate Monitoring Using Wearable Multi-Source Sensors." Sustainability 13, no. 24 (2021): 14062. http://dx.doi.org/10.3390/su132414062.

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With the development of urbanization, the environment is the key to the safety of residents’ life and health and the United Nations’ Sustainable Development Goals (SDGs). Urban environmental changes and microclimate problems have attracted widespread attention. For the SDGs, monitoring the urban microclimate more accurately and effectively and ensuring residents’ environmental health and safety is particularly important when designing applications that can replace the traditional fixed-point urban environment or pollution monitoring. Based on the BeiDou Navigation Satellite System platform, th

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Wicaksono, Damar, and Taufiq Kamal. "Micro climate monitoring system in closed broiler cages based on the internet of things." Jurnal Teknologi dan Sistem Komputer 8, no. 2 (2020): 100–105. http://dx.doi.org/10.14710/jtsiskom.8.2.2020.100-105.

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Smart agriculture has an emerged concept by using IoT sensors capable of providing various information about their field condition and conducting environmental monitoring to improve the yield of efficient crops. This research aims to develop a microclimate monitoring system in a closed house. The microclimate being monitored is the effective temperature, which is the temperature felt by broilers at that time in a fast area. In this research, IoT has been implemented using WeMos D1 R32 by sending sensor data to observe the effective temperature parameters as actual temperature, humidity, and wi

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Monk, Emily M., and Chris Ray. "Revisiting talus and free-air temperatures after 50 years of change at an American pika (Ochotona princeps) study site in the Southern Rockies." PLOS Climate 1, no. 7 (2022): e0000049. http://dx.doi.org/10.1371/journal.pclm.0000049.

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Climate change in mountain regions has exposed high-elevation species to rapidly changing temperatures. Although climate exposure can be reduced in certain microclimates, the quality of microclimatic refugia might also degrade with climate change. The American pika (Ochotona princeps) often inhabits high elevations, and is considered climate-sensitive due to its narrow thermal tolerance and recent extirpations in some warmer portions of its range. Pikas behaviorally thermoregulate by taking refuge in the subsurface microclimates found in taluses and other rocky habitats, where daily thermal fl

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Vox, Giuliano, Pierfrancesco Losito, Fabio Valente, et al. "A wireless telecommunications network for real-time monitoring of greenhouse microclimate." Journal of Agricultural Engineering 45, no. 2 (2014): 70. http://dx.doi.org/10.4081/jae.2014.237.

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An innovative wireless monitoring system for measuring greenhouse climatic parameters was developed to overcome the problems related to wires cabling such as presence of a dense net of wires hampering the cultivation practices, wires subjected to high temperature and relative humidity, rodents that can damage wires. The system exploits battery-powered environmental sensors, such as air temperature and relative humidity sensors, wind speed and direction, and solar radiation sensors, integrated in the contest of an 802.15.4-based wireless sensors network. Besides, a fruit diameter measurement se

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Dewi, Vita Ayu Kusuma, Budi Indra Setiawan, Roh Santoso Budi Waspodo, and Liyantono Liyantono. "Microclimate Condition in the Natural Ventilated Greenhouse." Jurnal Tanah dan Iklim 44, no. 1 (2020): 31. http://dx.doi.org/10.21082/jti.v44n1.2020.31-36.

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A Greenhouse has a different microclimate compared to the outside field. Climate parameters such as solar radiation and air temperature are important parameters that affect plant growth and productivity. This research aims to understand the relation of climate factors in the inside and outside Greenhouse, the effect of microclimate on evapotranspiration and to predict the amount og evapotranspiration inside the Greenhouse. Microclimate analysis was held in two stages, the firststage was from February 5 to March 21, 2018 and the second stage from March 19 to April 29, 2019 at the Department of

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Häb, Kathrin, Benjamin L. Ruddell, and Ariane Middel. "Sensor lag correction for mobile urban microclimate measurements." Urban Climate 14 (December 2015): 622–35. http://dx.doi.org/10.1016/j.uclim.2015.10.003.

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Barbano, Francesco, Erika Brattich, Carlo Cintolesi, et al. "Performance evaluation of MeteoTracker mobile sensor for outdoor applications." Atmospheric Measurement Techniques 17, no. 10 (2024): 3255–78. http://dx.doi.org/10.5194/amt-17-3255-2024.

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Abstract. The morphological complexity of urban environments results in a high spatial and temporal variability of the urban microclimate. The consequent demand for high-resolution atmospheric data remains a challenge for atmospheric research and operational application. The recent widespread availability and increasing adoption of low-cost mobile sensing offer the opportunity to integrate observations from conventional monitoring networks with microclimatic and air pollution data at a finer spatial and temporal scale. So far, the relatively low quality of the measurements and outdoor performa

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Gao, Xueyan, Chong Li, Yue Cai, et al. "Influence of Scale Effect of Canopy Projection on Understory Microclimate in Three Subtropical Urban Broad-Leaved Forests." Remote Sensing 13, no. 18 (2021): 3786. http://dx.doi.org/10.3390/rs13183786.

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The canopy is the direct receiver and receptor of external environmental variations, and affects the microclimate and energy exchange between the understory and external environment. After autumn leaf fall, the canopy structure of different forests shows remarkable variation, causes changes in the microclimate and is essential for understory vegetation growth. Moreover, the microclimate is influenced by the scale effect of the canopy. However, the difference in influence between different forests remains unclear on a small scale. In this study, we aimed to analyze the influence of the scale ef

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Rezvani, Sayed Moin-eddin, Hamid Zare Abyaneh, Redmond R. Shamshiri, et al. "IoT-Based Sensor Data Fusion for Determining Optimality Degrees of Microclimate Parameters in Commercial Greenhouse Production of Tomato." Sensors 20, no. 22 (2020): 6474. http://dx.doi.org/10.3390/s20226474.

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Optimum microclimate parameters, including air temperature (T), relative humidity (RH) and vapor pressure deficit (VPD) that are uniformly distributed inside greenhouse crop production systems are essential to prevent yield loss and fruit quality. The objective of this research was to determine the spatial and temporal variations in the microclimate data of a commercial greenhouse with tomato plants located in the mid-west of Iran. For this purpose, wireless sensor data fusion was incorporated with a membership function model called Optimality Degree (OptDeg) for real-time monitoring and dynam

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De Side, G. N., G. M. D. Putra, and D. A. Setiawati. "IoT (internet of things) microclimate monitoring system using node-red platform at plant factory." IOP Conference Series: Earth and Environmental Science 1441, no. 1 (2025): 012012. https://doi.org/10.1088/1755-1315/1441/1/012012.

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Abstract Indonesia faces significant challenges in the agricultural sector, such as limited productive land and climate change, which threaten food security. The plant factory emerges as a relevant solution by integrating hydroponic technology and automation to enable year-round controlled food production. This study aimed to develop an IoT-based microclimate monitoring system using the Node-RED platform within a plant factory. The system allowed for real-time temperature, humidity, and light intensity monitoring. The methodology involves designing a system utilizing an Arduino Mega 2560 micro

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Di Tocco, Joshua, Daniela Lo Presti, Carlo Massaroni, et al. "Plant-Wear: A Multi-Sensor Plant Wearable Platform for Growth and Microclimate Monitoring." Sensors 23, no. 1 (2023): 549. http://dx.doi.org/10.3390/s23010549.

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Wearable devices are widely spreading in various scenarios for monitoring different parameters related to human and recently plant health. In the context of precision agriculture, wearables have proven to be a valuable alternative to traditional measurement methods for quantitatively monitoring plant development. This study proposed a multi-sensor wearable platform for monitoring the growth of plant organs (i.e., stem and fruit) and microclimate (i.e., environmental temperature—T and relative humidity—RH). The platform consists of a custom flexible strain sensor for monitoring growth when moun

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Ogunlowo, Qazeem Opeyemi, Timothy Denen Akpenpuun, Wook-Ho Na, et al. "Analysis of Heat and Mass Distribution in a Single- and Multi-Span Greenhouse Microclimate." Agriculture 11, no. 9 (2021): 891. http://dx.doi.org/10.3390/agriculture11090891.

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Recently, heat and mass distributions within a greenhouse were assumed to be homogeneous. Heat is gained or lost in absolute terms, and crop contribution in a greenhouse or its effect is not considered. In this study, statistical analyses were conducted to establish the significance of heat and mass variation at sensor nodes in two single-span and multi-span greenhouses. Three greenhouses were used in this study, 168 m2 floor area a single-layered (SLG), double-layered (DLG) single-span gothic roof type greenhouses, and 7572.6 m2 floor area multi-span greenhouse (MSG). The microclimatic parame

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Ivanova, Y., S. Ivanov, K. Peychev, and I. Belovski. "Application of modern means and technologies for monitoring the microclimate in greenhouses." Agricultural Science and Technology 16, no. 4 (2024): 117–21. https://doi.org/10.15547/ast.2024.04.047.

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Abstract. Modern tools and technologies are increasingly used to monitor the main parameters of the microclimate in greenhouses. In this article, an overview and comparative analysis of modern sensor devices applicable in the measurement of physical parameters in greenhouses is made. The various technologies and components for automation of microclimate monitoring are considered. The possibilities offered by management software solutions are considered. The possibilities of IoT technologies for automating processes in greenhouses are described.

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Yan, Maoling, Pingzeng Liu, Rui Zhao, et al. "Field microclimate monitoring system based on wireless sensor network." Journal of Intelligent & Fuzzy Systems 35, no. 2 (2018): 1325–37. http://dx.doi.org/10.3233/jifs-169676.

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21

Reza, Md Nasim, Md Nafiul Islam, Md Zafar Iqbal, et al. "Spatial, Temporal, and Vertical Variability of Ambient Environmental Conditions in Chinese Solar Greenhouses during Winter." Applied Sciences 13, no. 17 (2023): 9835. http://dx.doi.org/10.3390/app13179835.

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The monitoring and control of environmental conditions are crucial as they influence crop quality and yield in Chinese solar greenhouses (CSGs). The objectives of this study were to assess the spatial, temporal, and vertical variability of major environmental parameters in CSGs during winter and to provide greenhouse climate/microclimate characteristics in order to facilitate the monitoring and control of greenhouse environmental conditions. A wireless sensor network (WSN) was deployed in two CSGs: one with crops and one without. Sensors were placed at different locations inside and outside th

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Hong, Yan, Xuechun Cao, Yan Chen, Zhijuan Pan, Yu Chen, and Xianyi Zeng. "A conceptual wearable monitoring system for physiological indices and clothing microclimate measurement." International Journal of Clothing Science and Technology 31, no. 3 (2019): 318–25. http://dx.doi.org/10.1108/ijcst-10-2016-0116.

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Purpose The purpose of this paper is to investigate physiological indices related to comfort and health condition, based on which corresponding electronic equipment are selected and applied. A wearable monitoring system using sensor and liquid crystal display (LCD) techniques are then designed. Sensors are used to collect and transmit recording required signals from the wearer. A microcomputer with the type of AT89C52 is used to record and analyze the collected data. LCD is applied to display the health and comfort condition of the wearer. Design/methodology/approach A novel wearable monitorin

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Sudniks, Ruslans, Arturs Ziemelis, Agris Nikitenko, Vasco N. G. J. Soares, and Andis Supe. "Indoor Microclimate Monitoring and Forecasting: Public Sector Building Use Case." Information 16, no. 2 (2025): 121. https://doi.org/10.3390/info16020121.

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This research aims to demonstrate a machine learning (ML) algorithm-based indoor air quality (IAQ) monitoring and forecasting system for a public sector building use case. Such a system has the potential to automate existing heating/ventilation systems, therefore reducing energy consumption. One of Riga Technical University’s campus buildings, equipped with around 128 IAQ sensors, is used as a test bed to create a digital shadow including a comparison of five ML-based data prediction tools. We compare the IAQ data prediction loss using Root Mean Square Error (RMSE) and Mean Absolute Error (MAE

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Thwin, Kyaw Maung Maung, Teerayut Horanont, and Teera Phatrapornnant. "Machine-Learning Microclimate Forecasting for Adaptive Equipment Control via Web Integration in Open-Ventilated Greenhouses." AgriEngineering 6, no. 3 (2024): 2845–69. http://dx.doi.org/10.3390/agriengineering6030165.

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Open-ventilated greenhouses have reasonable setup costs and low operational costs for growers, which is crucial and most appealing for this research. These attributes fit developing nations like Thailand and other tropical regions. It is challenging to control the equipment intended to obtain an ideal microclimate. This research was conducted in an actual greenhouse setting for data collection and experiments, with a proposed system for adaptive equipment control via web integration. Also, the proposed multivariate multistep LSTM was forecasted over 1 h and cooperated with sensor data. Additio

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Xiao, Xiao, Xinyue Liu, Yanbo Liu, et al. "Investigation of Interferences of Wearable Sensors with Plant Growth." Biosensors 14, no. 9 (2024): 439. http://dx.doi.org/10.3390/bios14090439.

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Plant wearable sensors have shown exceptional promise in continuously monitoring plant health. However, the potential adverse effects of these sensors on plant growth remain unclear. This study systematically quantifies wearable sensors’ interference with plant growth using two ornamental species, Peperomia tetraphylla and Epipremnum aureum. We evaluated the impacts of four common disturbances—mechanical pressure, hindrance of gas exchange, hindrance of light acquisition, and mechanical constraint—on leaf growth. Our results indicated that the combination of light hindrance and mechanical cons

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Bhujel, Anil, Jayanta Kumar Basak, Fawad Khan, et al. "Sensor Systems for Greenhouse Microclimate Monitoring and Control: a Review." Journal of Biosystems Engineering 45, no. 4 (2020): 341–61. http://dx.doi.org/10.1007/s42853-020-00075-6.

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Ilyin, R. M., and S. V. Vtory. "Wireless sensor networks for monitoring microclimate parameters on cattle farms." Machinery and Equipment for Rural Area, no. 11 (November 23, 2020): 32–34. http://dx.doi.org/10.33267/2072-9642-2020-11-32-34.

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The results of a study of changes in temperature and humidity conditions and concentration of carbon dioxide depending on weather conditions in cowsheds for 200 heads of tethered and 320 heads of loose housing are presented. The graphical models of the distribution of temperature, humidity and carbon dioxide concentration inside the cowsheds under similar weather conditions are provided.

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Jones, Petra, Richard Bibb, Melanie Davies, et al. "Prediction of Diabetic Foot Ulceration: The Value of Using Microclimate Sensor Arrays." Journal of Diabetes Science and Technology 14, no. 1 (2019): 55–64. http://dx.doi.org/10.1177/1932296819877194.

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Background: Accurately predicting the risk of diabetic foot ulceration (DFU) could dramatically reduce the enormous burden of chronic wound management and amputation. Yet, the current prognostic models are unable to precisely predict DFU events. Typically, efforts have focused on individual factors like temperature, pressure, or shear rather than the overall foot microclimate. Methods: A systematic review was conducted by searching PubMed reports with no restrictions on start date covering the literature published until February 20, 2019 using relevant keywords, including temperature, pressure

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Săcăleanu, Dragoș-Ioan, Mihai-Gabriel Matache, Ștefan-George Roșu, Bogdan-Cristian Florea, Irina-Petra Manciu, and Lucian-Andrei Perișoară. "IoT-Enhanced Decision Support System for Real-Time Greenhouse Microclimate Monitoring and Control." Technologies 12, no. 11 (2024): 230. http://dx.doi.org/10.3390/technologies12110230.

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Greenhouses have taken on a fundamental role in agriculture. The Internet of Things (IoT) is a key concept used in greenhouse-based precision agriculture (PA) to enhance vegetable quality and quantity while improving resource efficiency. Integrating wireless sensor networks (WSNs) into greenhouses to monitor environmental parameters represents a critical first step in developing a complete IoT solution. For further optimization of the results, including actuator nodes to control the microclimate is necessary. The greenhouse must also be remotely monitored and controlled via an internet-based p

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Tzounis, A., N. Katsoulas, K. P. Ferentinos, T. Bartzanas, and C. Kittas. "Development of a WSN for Greenhouse Microclimate Distribution Monitoring." Annals ”Valahia” University of Targoviste - Agriculture 10, no. 1 (2016): 7–13. http://dx.doi.org/10.1515/agr-2016-0002.

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Abstract Precision greenhouse agriculture requires several measuring points in order to have a better overview of the whole cultivation area. Climate variability within the covered area of a greenhouse can result in a non-uniform plant development and reduced productivity. Therefore, a distributed system, capable of taking multi-point measurements would be able to catch the climatic gradients in order to provide growers with a more detailed depiction of the climate at any time and early warnings of potential threats. Furthermore, the distributed monitoring can offer the appropriate inputs to m

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Tucci, Grazia, Erica Parisi, Giulio Castelli, et al. "Multi-Sensor UAV Application for Thermal Analysis on a Dry-Stone Terraced Vineyard in Rural Tuscany Landscape." ISPRS International Journal of Geo-Information 8, no. 2 (2019): 87. http://dx.doi.org/10.3390/ijgi8020087.

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Italian dry-stone wall terracing represents one of the most iconic features of agricultural landscapes across Europe, with sites listed among UNESCO World Heritage Sites and FAO Globally Important Agricultural Heritage Systems (GIAHS). The analysis of microclimate modifications induced by alterations of hillslope and by dry-stone walls is of particular interest for the valuation of benefits and drawbacks of terraces cultivation, a global land management technique. The aim of this paper is to perform a thermal characterization of a dry-stone wall terraced vineyard in the Chianti area (Tuscany,

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Abdinoor, Jabir Ali, Zainulabdeen Khalaf Hashim, Bálint Horváth, et al. "Performance of Low-Cost Air Temperature Sensors and Applied Calibration Techniques—A Systematic Review." Atmosphere 16, no. 7 (2025): 842. https://doi.org/10.3390/atmos16070842.

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Low-cost air temperature sensors are an emerging theme in environmental monitoring. These sensors offer the advantage of making microclimate monitoring feasible due to their affordability. However, they are limited by the quality of the data they provide; in many cases, they have been reported to have presented errors in the sensor readings. These errors have been shown to improve after calibration was applied. The lack of a comprehensive understanding of the available calibration techniques, models, and sensor types has led to studies presenting heterogeneity in models and techniques alongsid

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Manoharan, Dr Samuel. "Supervised Learning for Microclimatic parameter Estimation in a Greenhouse environment for productive Agronomics." September 2020 2, no. 3 (2020): 170–76. http://dx.doi.org/10.36548/jaicn.2020.3.004.

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Maximum crop returns are essential in modern agriculture due to various challenges caused by water, climatic conditions, pests and so on. These production uncertainties are to be overcome by appropriate evaluation of microclimate parameters at commercial scale for cultivation of crops in a closed-field and emission free environment. Internet of Things (IoT) based sensors are used for learning the parameters of the closed environment. These parameters are further analyzed using supervised learning algorithms under MATLAB Simulink environment. Three greenhouse crop production systems as well as

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Wang, Lina, and Binrui Wang. "Greenhouse microclimate environment adaptive control based on a wireless sensor network." International Journal of Agricultural and Biological Engineering 13, no. 3 (2020): 64–69. http://dx.doi.org/10.25165/j.ijabe.20201303.5027.

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Zanchi, Marco, Stefano Zapperi, and Caterina A. M. La Porta. "Optimized placement of sensor networks by machine learning for microclimate evaluation." Computers and Electronics in Agriculture 225 (October 2024): 109305. http://dx.doi.org/10.1016/j.compag.2024.109305.

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Strelnikov, I.I. "Development of a module for measuring microclimate parameters of the greenhouse complex of Donetsk Botanical Garden." Industrial bitany 23, no. 4 (2024): 46–53. https://doi.org/10.5281/zenodo.10566343.

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The results of development of electronic sensor module for monitoring microclimatic parameters in the greenhouse complex of Donetsk Botanical Garden are presented. The module is based on available inexpensive electronic components and includes controlling microcontroller unit ESP32 and sensors of temperature, air humidity, atmospheric pressure and illumination. Also protocols for information exchange and database for storage and primary processing of device readings were developed. The module has moderate autonomy and can continue to collect data for up to 48 hours in conditions of i

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Miserocchi, Lorenzo, Gianluca Caposciutti, Alessandro Franco, and Bernardo Tellini. "Temperature monitoring strategy for microclimate prediction in low-automation greenhouses: a preliminary analysis." Journal of Physics: Conference Series 2893, no. 1 (2024): 012108. https://doi.org/10.1088/1742-6596/2893/1/012108.

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Abstract Climate control strategies in low-automation greenhouses typically rely on the measurements from a single sensor. Indeed, implementing more complex monitoring devices and sensor networks may increase investment costs without necessarily improving profitability. This paper presents a low cost and low complexity temperature monitoring strategy, which is illustrated in a case study of tomato cultivation during the mid-season in a traditional Mediterranean greenhouse located in Pisa, Italy. The objective is to evaluate the temperature distribution within a portion of the greenhouse and to

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Bebelaar, Niek, Robin Christian Braggaar, Catharina Marianne Kleijwegt, et al. "Monitoring urban environmental phenomena through a wireless distributed sensor network." Smart and Sustainable Built Environment 7, no. 1 (2018): 68–79. http://dx.doi.org/10.1108/sasbe-10-2017-0046.

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Purpose The purpose of this paper is to provide local environmental information to raise community’s environmental awareness, as a cornerstone to improve the quality of the built environment. Next to that, it provides environmental information to professionals and academia in the fields of urbanism and urban microclimate, making it available for reuse. Design/methodology/approach The wireless sensor network (WSN) consists of sensor platforms deployed at fixed locations in the urban environment, measuring temperature, humidity, noise and air quality. Measurements are transferred to a server via

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Ingebretsen, Sara Bredal, Erlend Andenæs, Lars Gullbrekken, and Tore Kvande. "Microclimate and Mould Growth Potential of Air Cavities in Ventilated Wooden Façade and Roof Systems—Case Studies from Norway." Buildings 12, no. 10 (2022): 1739. http://dx.doi.org/10.3390/buildings12101739.

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Harsh climatic conditions in the Nordic countries are being worsened by climate change, which increases the moisture load on building façades. New types of defects are being observed in air cavities in well-designed and well-built wooden façades and roofs. More knowledge is required on the microclimatic conditions in air cavities and roofs, and their implications for organic growth and biological deterioration. The present study collects and presents sensor data from three buildings in Norway. Collected air temperature, air humidity, and wood moisture data are compared to mould growth criteria

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Metia, Santanu, Huynh A. D. Nguyen, and Quang Phuc Ha. "IoT-Enabled Wireless Sensor Networks for Air Pollution Monitoring with Extended Fractional-Order Kalman Filtering." Sensors 21, no. 16 (2021): 5313. http://dx.doi.org/10.3390/s21165313.

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This paper presents the development of high-performance wireless sensor networks for local monitoring of air pollution. The proposed system, enabled by the Internet of Things (IoT), is based on low-cost sensors collocated in a redundant configuration for collecting and transferring air quality data. Reliability and accuracy of the monitoring system are enhanced by using extended fractional-order Kalman filtering (EFKF) for data assimilation and recovery of the missing information. Its effectiveness is verified through monitoring particulate matters at a suburban site during the wildfire season

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Eingrüber, Nils, Wolfgang Korres, and Karl Schneider. "Microclimatic field measurements to support microclimatological modelling with ENVI-met for an urban study area in Cologne." Advances in Science and Research 19 (August 18, 2022): 81–90. http://dx.doi.org/10.5194/asr-19-81-2022.

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Abstract. Cities are particularly affected by climate change impacts. Due to global warming, the frequency and intensity of summer heat events increases for many cities around the globe. Urban climatological studies have shown significant positive trends in the number of hot days and tropical nights. Heat stress is an important health as well as economic risk. Thus, urban planning needs to adapt to climate change. This requires a sound scientific analysis of different adaptation measures and management options, which must be based on appropriate data, models and scenarios to assess their suita

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Eingrüber, Nils, Wolfgang Korres, Ulrich Löhnert, and Karl Schneider. "Setup of a densely distributed and quality-controlled meteorological sensor network in Pune, India, for urban microclimate research and citizen participation in the context of climate change adaptation." Journal of Sensors and Sensor Systems 14, no. 1 (2025): 13–26. https://doi.org/10.5194/jsss-14-13-2025.

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Abstract. Urban areas are particularly affected by climate change. Excessive heat waves, droughts and extreme precipitation events are the most detrimental meteorological events affecting cities and their population worldwide. Adaptation and mitigation measures must be specific for the given climatic, socio-economic and cultural conditions. To better understand differences in the natural and social environment and their effects upon climate adaptation strategies in humid and monsoon-driven climates, a densely distributed meteorological sensor network was established in an urban high-density ne

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Song, Chengbao, Pingzeng Liu, Xinghua Liu, Lining Liu, and Yuting Yu. "Configuration Optimization of Temperature–Humidity Sensors Based on Weighted Hilbert–Schmidt Independence Criterion in Chinese Solar Greenhouses." Agriculture 14, no. 2 (2024): 311. http://dx.doi.org/10.3390/agriculture14020311.

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For cost-sensitive Chinese solar greenhouses (CSGs) with an uneven spatial distribution in temperature and humidity, there is a lack of effective strategies for sensor configuration that can reduce sensor usage while monitoring the microclimate precisely. A configuration strategy for integrated temperature–humidity sensors (THSs) based on the improved weighted Hilbert–Schmidt independence criterion (HSIC) is proposed in this paper. The data independence of the THSs in different sites was analyzed based on the improved HSIC, and the selection priority of the THSs was ranked based on the weighte

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Choi, Byoung-Koo, and Hee Mun Chae. "Characteristics of Microclimate in Three Forest Stands Monitored by Meteorological Sensor Array." Sensors and Materials 31, no. 11 (2019): 3785. http://dx.doi.org/10.18494/sam.2019.2536.

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Adkins, Kevin A., William Becker, Sricharan Ayyalasomayajula, et al. "Hyper-Local Weather Predictions with the Enhanced General Urban Area Microclimate Predictions Tool." Drones 7, no. 7 (2023): 428. http://dx.doi.org/10.3390/drones7070428.

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This paper presents enhancements to, and the demonstration of, the General Urban area Microclimate Predictions tool (GUMP), which is designed to provide hyper-local weather predictions by combining machine-learning (ML) models and computational fluid dynamic (CFD) simulations. For the further development and demonstration of GUMP, the Embry–Riddle Aeronautical University (ERAU) campus was used as a test environment. Local weather sensors provided data to train ML models, and CFD models of urban- and suburban-like areas of ERAU’s campus were created and iterated through with a wide assortment o

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Paramud, Y., та A. Yanchynskyi. "Сomputer system for alerting indoor microclimate critical values". Computer systems and network 3, № 1 (2021): 89–98. http://dx.doi.org/10.23939/csn2021.01.089.

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An alert system has been studied, in which sensor data can be collected and analyzed for further processing and action. Notifications are generated when data is compared against certain criteria. The ESP8266 microcontroller has been chosen as the basic device for implementing such a system, as this Espressif controller is a highly integrated Wi-Fi SoC solution that meets the demands of the cyberphysical systems industry in low power consumption, compactness and reliability. This solution is one of the most effective for the alert system. On the basis of this microcontroller the technical means

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Cletus, Felicia, and Anagu Emmanuel John. "Comparative Analysis Of Machine Learning Models For Greenhouse Microclimate Prediction." Brilliance: Research of Artificial Intelligence 4, no. 1 (2024): 162–75. http://dx.doi.org/10.47709/brilliance.v4i1.3783.

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The research assesses the effectiveness of these models as Bi-LSTM, ANN, GBM, and RF in predicting microclimate factors like temperature, humidity, and CO2 levels. It also highlights the constraints associated with employing machine learning models for greenhouse microclimate prediction and suggests potential areas for future investigation. The findings indicate that both ensemble techniques (Gradient Boosting Machine and Random Forest) and deep learning frameworks (ANN and BI-LSTM) performed well during the assessment. While both ensemble methods exhibited impressive results, Gradient Boostin

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ANIKET, DHAMANGAONKAR, P. KURLEKAR SUPRIYA, R. AWATI SHRUTIKA, V. PATIL NISHIGANDHA, and B. DEMAPURE BHAKTI. "ANDROID APPLICATION FOR AGRICULTURE." JournalNX - A Multidisciplinary Peer Reviewed Journal NCMTEE-2K17 (March 26, 2017): 78–81. https://doi.org/10.5281/zenodo.1451414.

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Andriod app is developed to monitor and control whether inside green. greenhouse can be considered as microclimate incubator ,the important parameters inside greenhouse are temperature, soil moisture, humidity, light intensity. These values can be easily measured by using different sensors. They can easily get on android app. we can set threshold values and according to sensors values we can control the devices like water spayer, light bulb, fan or ac. Depending on sensor output controlling action is taken by microcontroller. And by pressing a single button we are control the devices through a

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Telaumbanua, M., F. A. Noval, Y. Erika, et al. "Design of temperature-soil moisture control and monitoring system for chili cultivation in greenhouse." IOP Conference Series: Earth and Environmental Science 1386, no. 1 (2024): 012029. http://dx.doi.org/10.1088/1755-1315/1386/1/012029.

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Abstract One form of plant care is to measure the microclimate when cultivating chilies in a greenhouse. The aim of this research is to design a control system to make it easier for farmers to access information on temperature and soil moisture on chili cultivation land. The microcontroller is integrated with email in monitoring and controlling climate factors in the greenhouse at a low cost. The sensors used are the DHT22 sensor and soil moisture sensor. Application Programming Interface (API) Pushingbox is used to simplify the system for sending data from the microcontroller to the website.

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Decorte, Thomas, Steven Mortier, Jonas J. Lembrechts, et al. "Missing Value Imputation of Wireless Sensor Data for Environmental Monitoring." Sensors 24, no. 8 (2024): 2416. http://dx.doi.org/10.3390/s24082416.

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Over the past few years, the scale of sensor networks has greatly expanded. This generates extended spatiotemporal datasets, which form a crucial information resource in numerous fields, ranging from sports and healthcare to environmental science and surveillance. Unfortunately, these datasets often contain missing values due to systematic or inadvertent sensor misoperation. This incompleteness hampers the subsequent data analysis, yet addressing these missing observations forms a challenging problem. This is especially the case when both the temporal correlation of timestamps within a single

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