Review of Structural and Functional Characteristics of Greenhouses in European Union Countries: Part I, Design Requirements

Elsner, B.; Briassoulis, D.; Waaijenberg, D.; Mistriotis, Α.; Zabeltitz, Christian von; Gratraud, J.; Russo, Gìovanni Fulvio; Suay-Cortes, R.

doi:10.1006/jaer.1999.0502

Cited by 126 publications

(66 citation statements)

References 10 publications

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“…Meanwhile, in heating, ventilating, and air conditioning (HVAC) systems, which account for ≈20% of the total energy consumption in developed countries 11 , the accumulation of condensed water on thermal components can lead to performance degradation and increased costs. Furthermore, condensation on glass strongly influences the transmittance of light into greenhouses, resulting in possible losses of 40% during the winter 12 .…”

Section: Introductionmentioning

confidence: 99%

Condensation heat transfer on superhydrophobic surfaces

2013

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(150 words max)Condensation is a phase change phenomenon often encountered in nature and industry for applications including power generation, thermal management, desalination, and environmental control. For the past eight decades, researchers have focused on creating surfaces allowing condensed droplets to be easily removed by gravity for enhanced heat transfer performance.Recent advancements in nanofabrication have enabled increased control of surface structuring for the development of superhydrophobic surfaces with even higher droplet mobility, and in some cases, coalescence-induced droplet jumping. Here, we provide a review of new insights gained to tailor superhydrophobic surfaces for enhanced condensation heat transfer considering the role of surface structure, nucleation density, droplet morphology, and droplet dynamics.Furthermore, we identify challenges and new opportunities to advance these surfaces for broad implementation into thermo-fluidic systems.

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Section: Introductionmentioning

confidence: 99%

Condensation heat transfer on superhydrophobic surfaces

2013

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“…Plastic sheets are used as materials to build the shadenet structure which can be regarded as a micro-scale planting environment and are relatively common [56], having unique characteristics [57], i.e., optical transparency, shade percentages, gas-tightness, and high-reflectivity. Agriculturalists have long known the importance of the planting environment for crop growth, always by manipulating the growing environment to provide a more conducive environment for crop growth.…”

Section: Shadenet Structuresmentioning

confidence: 99%

Single-Class Data Descriptors for Mapping Panax notoginseng through P-Learning

Deng

2018

Applied Sciences

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Machine learning-based remote-sensing techniques have been widely used for the production of specific land cover maps at a fine scale. P-learning is a collection of machine learning techniques for training the class descriptors on the positive samples only. Panax notoginseng is a rare medicinal plant, which also has been a highly regarded traditional Chinese medicine resource in China for hundreds of years. Until now, Panax notoginseng has scarcely been observed and monitored from space. Remote sensing of natural resources provides us new insights into the resource inventory of Chinese materia medica resources, particularly of Panax notoginseng. Generally, land-cover mapping involves focusing on a number of landscape classes. However, sometimes a subset or one of the classes will be the only part of interest. In term of this study, the Panax notoginseng field is the right unit class. Such a situation makes single-class data descriptors (SCDDs) especially significant for specific land-cover interpretation. In this paper, we delineated the application such that a stack of SCDDs were trained for remote-sensing mapping of Panax notoginseng fields through P-learning. We employed and compared SCDDs, i.e., the simple Gaussian target distribution, the robust Gaussian target distribution, the minimum covariance determinant Gaussian, the mixture of Gaussian, the auto-encoder neural network, the k-means clustering, the self-organizing map, the minimum spanning tree, the k-nearest neighbor, the incremental support vector data description, the Parzen density estimator, and the principal component analysis; as well as three ensemble classifiers, i.e., the mean, median, and voting combiners. Experiments demonstrate that most SCDDs could achieve promising classification performance. Furthermore, this work utilized a set of the elaborate samples manually collected at a pixel-level by experts, which was intended to be a benchmark dataset for the future work. The measuring performance of SCDDs gives us challenging insights to define the selection criteria and scoring proof for choosing a fine SCDD in mapping a specific landscape class. With the increment of remotely sensed satellite data of the study area, the spatial distribution of Panax notoginseng could be continuously derived in the local area on the basis of SCDDs.

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“…There is no research in the area of bio-mechanical composite technology. Overseas: human-machine coordination and object tracking has been achieved Domestic: no research in this area Holland, Italy, France, UK, Spain, USA, Canada, Israel, Turkey, Japan, Korea, Australia and other countries started earlier in agricultural technology research facility, which developed fast and in the highest level of the world currently [59,60]. Xu Fang et al summarized the survey and development of agricultural mechanical equipment in protected agriculture.…”

Section: Modern Agricultural Mechanical Equipmentmentioning

confidence: 99%

Studies on Domestic and Overseas in Research Progress of Agricultural Information Technologies

Shi

et al. 2014

Computer and Computing Technologies in Agriculture VII

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Abstract. This paper is a comparative study of domestic and overseas in the aspect of agricultural information technologies research progress. In domestic, it is short of independent development of core technology in precision operation integrated system. The key problem that needs to be resolved in agricultural information acquisition and analysis technology is how to improve the accuracy, the agricultural products information collection technology is still a blank. Lacking of shared and integrated simulation platform in agricultural digital model and virtual technology, and agricultural productivity prediction and early warning technology still needs to be improved. In the technology of agricultural intelligent decision, China is blank in the field of knowledge grid, knowledge sharing cannot be achieved. The high technical cost and the low operation reliability are the main problems in agricultural intelligent equipment. In modern agricultural mechanical equipment technology, China is lack of uniformed standards and regulations. There is a big gap between domestic and overseas in rapid detection technology and bio-mechanical composite technology.

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Review of Structural and Functional Characteristics of Greenhouses in European Union Countries: Part I, Design Requirements

Cited by 126 publications

References 10 publications

Condensation heat transfer on superhydrophobic surfaces

Condensation heat transfer on superhydrophobic surfaces

Single-Class Data Descriptors for Mapping Panax notoginseng through P-Learning

Studies on Domestic and Overseas in Research Progress of Agricultural Information Technologies

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