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  • 1
    Online Resource
    Online Resource
    Food Recognition and Food Waste Estimation Using Convolutional Neural Network
    MDPI AG ; 2022
    In:  Electronics Vol. 11, No. 22 ( 2022-11-15), p. 3746-
    Details
    In: Electronics, MDPI AG, Vol. 11, No. 22 ( 2022-11-15), p. 3746-
    Abstract: In this study, an evaluation of food waste generation was conducted, using images taken before and after the daily meals of people aged between 20 and 30 years in Serbia, for the period between 1 January and 31 April in 2022. A convolutional neural network (CNN) was employed for the tasks of recognizing food images before the meal and estimating the percentage of food waste according to the photographs taken. Keeping in mind the vast variates and types of food available, the image recognition and validation of food items present a generally very challenging task. Nevertheless, deep learning has recently been shown to be a very potent image recognition procedure, while CNN presents a state-of-the-art method of deep learning. The CNN technique was implemented to the food detection and food waste estimation tasks throughout the parameter optimization procedure. The images of the most frequently encountered food items were collected from the internet to create an image dataset, covering 157 food categories, which was used to evaluate recognition performance. Each category included between 50 and 200 images, while the total number of images in the database reached 23,552. The CNN model presented good prediction capabilities, showing an accuracy of 0.988 and a loss of 0.102, after the network training cycle. The average food waste per meal, in the frame of the analysis in Serbia, was 21.3%, according to the images collected for food waste evaluation.
    Type of Medium: Online Resource
    ISSN: 2079-9292
    URL: Article
    DOI: 10.3390/electronics11223746
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2662127-7
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  • 2
    Online Resource
    Online Resource
    A comparison of waste education in schools and colleges across five European cities
    Informa UK Limited ; 2022
    In:  International Journal of Sustainable Development & World Ecology Vol. 29, No. 4 ( 2022-05-19), p. 338-348
    Details
    In: International Journal of Sustainable Development & World Ecology, Informa UK Limited, Vol. 29, No. 4 ( 2022-05-19), p. 338-348
    Type of Medium: Online Resource
    ISSN: 1350-4509 , 1745-2627
    URL: Article
    DOI: 10.1080/13504509.2021.2019138
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2135615-4
    SSG: 12
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  • 3
    Online Resource
    Online Resource
    Evaluation of Droughts and Fires in the Dobrogea Region, Using Modis Satellite Data
    Walter de Gruyter GmbH ; 2018
    In:  “Agriculture for Life, Life for Agriculture” Conference Proceedings Vol. 1, No. 1 ( 2018-07-01), p. 336-345
    Details
    In: “Agriculture for Life, Life for Agriculture” Conference Proceedings, Walter de Gruyter GmbH, Vol. 1, No. 1 ( 2018-07-01), p. 336-345
    Abstract: Drought is one of the most significant extreme event facing the world, affecting the society and the environment. Located in SE Romania, Dobrogea Region is characterized by a temperate climate with strong continental influences, being affected by drought episodes which cause significant damages and economic costs over extensive agricultural areas. Risk reduction, continuous vegetation monitoring, and management implementation are facilitated by complementary use of vegetation indices and biophysical parameters derived from satellite products (gridded data) within-situ data (point data). The paper focuses on:i) evaluating the extent and intensity of drought in Dobrogea, Romania, based on Normalized Difference Drought Index (NDDI) and Fraction of Absorbed Photosynthetically Active Radiation (FAPAR); ii) fires analysis, based on the Thermal Anomalies/Fire locations product (MCD14DL); iii)the correlation between the fires with the NDDI; iv) and the correlation between fires with the Land Surface Temperature (LST) product. The vegetation indices, biophysical parameters and fires are computed from Moderate Resolution Imaging Spectroradiometer (MODIS) daily and eight days’ synthesis products, during 22 th of March - 29 th of August 2000-2015. The results highlight the areas most affected by drought (moderate, severe and extreme) and fires in the Dobrogea.
    Type of Medium: Online Resource
    ISSN: 2601-6222
    URL: Article
    DOI: 10.2478/alife-2018-0050
    Language: English
    Publisher: Walter de Gruyter GmbH
    Publication Date: 2018
    detail.hit.zdb_id: 2977636-3
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  • 4
    Online Resource
    Online Resource
    Earth Observation for the World Cultural and Natural Heritage
    Elsevier BV ; 2015
    In:  Agriculture and Agricultural Science Procedia Vol. 6 ( 2015), p. 438-445
    Details
    In: Agriculture and Agricultural Science Procedia, Elsevier BV, Vol. 6 ( 2015), p. 438-445
    Type of Medium: Online Resource
    ISSN: 2210-7843
    URL: Article
    DOI: 10.1016/j.aaspro.2015.08.114
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2015
    detail.hit.zdb_id: 2578644-1
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  • 5
    Online Resource
    Online Resource
    FLOODPLAIN REVEGETATION AND RIVER BASIN RESTORATION
    OAIMDD - EcoZone Publishing House ; 2007
    In:  Environmental Engineering and Management Journal Vol. 6, No. 4 ( 2007), p. 275-280
    Details
    In: Environmental Engineering and Management Journal, OAIMDD - EcoZone Publishing House, Vol. 6, No. 4 ( 2007), p. 275-280
    Type of Medium: Online Resource
    ISSN: 1582-9596 , 1843-3707
    URL: Article
    DOI: 10.30638/eemj.2007.038
    Language: English
    Publisher: OAIMDD - EcoZone Publishing House
    Publication Date: 2007
    detail.hit.zdb_id: 2629164-2
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  • 6
    Online Resource
    Online Resource
    A MODEL OF COLLABORATIVE THEMATIC DEVELOPMENT OF EDUCATIONAL PROGRAMS IN THE FIELD OF GEOMATICS
    University of Agronomic Sciences and Veterinary Medicine in Bucharest (UASVMB) ; 2023
    In:  AgroLife Scientific Journal Vol. 12, No. 1 ( 2023-06-30), p. 15-20
    Details
    In: AgroLife Scientific Journal, University of Agronomic Sciences and Veterinary Medicine in Bucharest (UASVMB), Vol. 12, No. 1 ( 2023-06-30), p. 15-20
    Abstract: In the last half-century, the knowledge and understanding of the problems generated by the climate variations have been facilitated by a spectacular evolution of monitoring techniques based on evolved means of acquisition, processing and interpretation of geospatial data. In parallel, but at a slower pace, the training methods specific to geomatics were given due importance in education. Faced with the real needs to process geospatial data applied to agriculture and the environment and the opportunities of creating many jobs in the sector of spatial environmental information, universities need teachers. But, in a large number of cases, they have been formed imperfectly and sometimes convey an approximate and questionable formation. Therefore, it is essential to establish a solid quality training based on an original approach in geomatics applied to agriculture, environment and sustainable development. The ERASMUS+ project “Capacity building in the field of geomatics applied to agriculture and environment in Tunisia (GEOMAG)” is an example of a modern approach to the way of effective training, developed in synergy with the rapid progress of the geospatial domain.
    Type of Medium: Online Resource
    ISSN: 2285-5718 , 2286-0126
    URL: Journal
    URL: Article
    DOI: 10.17930/AGL
    DOI: 10.17930/AGL202312
    Language: English
    Publisher: University of Agronomic Sciences and Veterinary Medicine in Bucharest (UASVMB)
    Publication Date: 2023
    detail.hit.zdb_id: 2836332-2
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  • 7
    Online Resource
    Online Resource
    WATER QUALITY MONITORING OF MOARA DOMNEASCĂ POND, ILFOV COUNTY, USING UAV-BASED RGB IMAGING
    University of Agronomic Sciences and Veterinary Medicine in Bucharest (UASVMB) ; 2023
    In:  AgroLife Scientific Journal Vol. 12, No. 1 ( 2023-06-30), p. 191-201
    Details
    In: AgroLife Scientific Journal, University of Agronomic Sciences and Veterinary Medicine in Bucharest (UASVMB), Vol. 12, No. 1 ( 2023-06-30), p. 191-201
    Abstract: The aim of the present study was the assessment of the water quality collected from Moara Domnească pond, in Ilfov County, on the basis of the following physico-chemical parameters: turbidity (T), pH, electrical conductivity (EC), chloride (Cl-), total hardness (TH), dissolved oxygen (DO), chemical oxygen demand (COD), biochemical oxygen demand (BOD), phosphate-phosphorus (P-PO43-) and nitrogen pollutant species: nitrate-nitrogen (N-NO3-), nitritenitrogen (N-NO2-), ammonium nitrogen (N-NH4+). Water sampling was performed during autumn (September) 2022 from 15 sampling points from surface layer (0.5 m). Based on the obtained results and according to Order 161/2006, water collected from Moara Domnească pond was classified in quality classes. Limnological surveys of physicochemical parameters were completed by high-resolution remote sensing imagery by unmanned aerial vehicles (UAVs). For each flight performance, an orthomosaic of georeferenced RGB images was made and the different features of interest were monitored and quantified by an automatic identification. UAV imagery is a useful tool for environmental lake management. Reporting the coordinates of the sampling points on the orthomosaic it helps to interpret better the results, having an overview of the studied area.
    Type of Medium: Online Resource
    ISSN: 2285-5718 , 2286-0126
    URL: Journal
    URL: Article
    DOI: 10.17930/AGL
    DOI: 10.17930/AGL2023122
    Language: English
    Publisher: University of Agronomic Sciences and Veterinary Medicine in Bucharest (UASVMB)
    Publication Date: 2023
    detail.hit.zdb_id: 2836332-2
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  • 8
    Online Resource
    Online Resource
    Applicability of MIKE SHE to Simulate Hydrology in Argesel River Catchment
    Elsevier BV ; 2015
    In:  Agriculture and Agricultural Science Procedia Vol. 6 ( 2015), p. 517-524
    Details
    In: Agriculture and Agricultural Science Procedia, Elsevier BV, Vol. 6 ( 2015), p. 517-524
    Type of Medium: Online Resource
    ISSN: 2210-7843
    URL: Article
    DOI: 10.1016/j.aaspro.2015.08.135
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2015
    detail.hit.zdb_id: 2578644-1
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  • 9
    Online Resource
    Online Resource
    UNIVERSITY BUILDINGS CONSERVATION USING TERRESTRIAL LASER SCANNING TECHNIQUE
    University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca ; 2015
    In:  Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca. Horticulture Vol. 72, No. 1 ( 2015-05-29)
    Details
    In: Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca. Horticulture, University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, Vol. 72, No. 1 ( 2015-05-29)
    Type of Medium: Online Resource
    ISSN: 1843-5394 , 1843-5254
    URL: Article
    DOI: 10.15835/buasvmcn-hort:10792
    Language: Unknown
    Publisher: University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca
    Publication Date: 2015
    detail.hit.zdb_id: 2436283-9
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  • 10
    Online Resource
    Online Resource
    THE WATER FOOTPRINT IN CONTEXT OF CIRCULAR ECONOMY
    University of Agronomic Sciences and Veterinary Medicine in Bucharest (UASVMB) ; 2021
    In:  AgroLife Scientific Journal Vol. 10, No. 2 ( 2021-12-31), p. 170-177
    Details
    In: AgroLife Scientific Journal, University of Agronomic Sciences and Veterinary Medicine in Bucharest (UASVMB), Vol. 10, No. 2 ( 2021-12-31), p. 170-177
    Abstract: Fresh water is the most used natural resource among the products we consume daily. Everything we eat or buy contains. But do we know how much water is needed to produce these goods? The concept of water footprint can help us find the answer to this question. Researcher at the University of Twente (Netherlands), Arjen Hoekstra, developed this concept in 2002. His goal was to show the impact on the amount of water that products in our lives contains. For a single product, the water footprint means the amount of water consumed and/or polluted at all stages of its production. It is measured in units of volume giving us an idea of the impact that a particular item has on the use of fresh water. Therefore, it takes into account the water used directly in production and the indirect part used in raw materials. The water footprint assessment method represents the volume of drinking water used either by a consumer or by a producer throughout the supply chain. By using this method, the volume of water is calculated by type of source, as well as the amount of water polluted, depending on the type of pollution, all these elements being specified spatially and temporally. The total water footprint of a product consists of three components: blue, green and gray water footprint. Assessing the water footprint of products and services is a good step towards evaluation of water circularity. The water footprint assessment must be integrated into the concepts of the circular economy by insisting on what happens to water after use and how circular and sustainable it is.
    Type of Medium: Online Resource
    ISSN: 2285-5718 , 2286-0126
    URL: Journal
    URL: Article
    DOI: 10.17930/AGL
    DOI: 10.17930/AGL2021221
    Language: English
    Publisher: University of Agronomic Sciences and Veterinary Medicine in Bucharest (UASVMB)
    Publication Date: 2021
    detail.hit.zdb_id: 2836332-2
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