1,721,069 research outputs found
Artificial intelligence in food quality assessments
No full textThe agricultural and food industries have witnessed significant transformation in recent
decades due to the rapid growth of science and technology. Technological innovations have
improved and increased the efficiency of food production to meet the continuously growing
demand due to the increasing population. Food loss and spoilage, low-quality food items
supply, manufacturing contamination, unauthorized addition of preservatives and additives,
food fraud and adulteration are just a few of the threats faced by food security (Hu et al., 2019;
Tan & Xu, 2020). Poor monitoring techniques of food quality contribute to the threat received
by food safety which leads to high spoilage and wastage. Food deterioration is detrimental to
people’s health and the nation’s economy (Arshad et al., 2023). To abate the health
complications and hazards due to food quality deterioration, the rapid assessment of food
quality is brought into the limelight and developed into a major area of interest for researchers
and industrial food producers. This sets Artificial intelligence (AI) on the right track in
promoting rapid food quality assessment by integrating it with high-capacity sensors, vast
databases, and computing techniques such as soft computing, internet computing and the
Internet of Things (IoT). AI is essential to expedite the advancement of reliable and improved
food quality assessment with hastened response capability and delivers results with high
precision and repeatability during the process (Addanki et al., 2022). AI does not only improve
time efficiency but also serves as the benchmark for state-of-art non-invasive food quality
assessment techniques
UPM jalani program pemindahan ilmu sistem hidroponik di Indonesia
Full text linkMALANG, 17 Mei - Jabatan Kejuruteraan Biologi dan Pertanian, Fakulti Kejuruteraan, Fakulti Kejuruteraan, Universiti Putra Malaysia (UPM) menjalankan program pemindahan ilmu sistem hidroponik berkolabrasi dengan pelajar-pelajar daripada Departemen Teknik Biosistem, Fakultas Teknologi Pertanian, Universitas Brawijaya (UB), Malang, Indonesia
Determination Of Baseline Qualities Of Malaysian Export-Grade Starfruits
Full text linkA study was conducted to determine the baseline qualities of Malaysian export-grade strafruits. The study is focused on the B10 cultivar of starfruits for the range of colour indexes between 2 and 4, targeted for the export market. A total of 123 commercially-graded, B10 cultivar starfruits were selected randomly and their properties namely length, diameter, mass, volume, the five colours values (L, a*, b*, C, ho), firmness, TSS (Total Soluble Solids), TA (Titratable Acidity) and pH were measured directly. From these properties, further properties were derived by calculation to make up a total of 31 properties investigated. Outlier analysis was conducted and four outliers identified by samples number 94, 95, 97, and 109 were eliminated. Therefore, the remaining samples for further analyses became 119. Studies on these 119 samples show that the properties length, diameter, mass and hue have low coefficient of variation (CV) levels. The fact that the starfruits were the actual marketable products indicates that mass and hue are sufficient element for quality indicators. Mass and hue were 15th and 3rd respectively in ranking by CV. Correlation studies revealed that mass has a very strong correlation with volume while hue has strong correlation with firmness. The property, pH, could be predicted moderately by b*. Since the study was conducted on export-grade starfruits, the minimum values can be taken as baseline values for acceptance of export-grade starfruits
Evaluation of chilling injury symptoms in bananas using optical imaging methods
Full text linkThe development of chilling injury symptoms in bananas (Musa cavendishii) at different ripening stages (2 to 5) was investigated using optical imaging methods. A total of 240 bananas with 60 bananas per each ripening stage ripened in a commercial ripening room were stored at 6 and 13 °C for two days to induce chilling injury symptoms. Images of the bananas were acquired using RGB and backscattering imaging at before storage (T0),during storage i.e. after 24 hours of storage with 90-minute time intervals (T1 to T5) and after storage i.e. exposure to ambient temperatures with the same time interval (T6 to T10), to monitor the appearance of chilling injury symptoms. The captured colour images were analyzed and valuable information from the images was extracted. Backscattering images were acquired using laser diodes emitting at 660 nm (visible light) and 785 nm (near-infrared light) wavelengths. The backscattering images were analyzed based on the changes of intensity in the radial direction providing a curve of intensity, also known as the backscattering profile. The backscattering parameter such as inflection point (IP),slope after inflection point (SA), full width at half maximum (FWHM) and saturation radius (RSAT) were extracted from the backscattering profile to relate with the appearance of chilling injury symptoms. The changes in all the optical parameters as a function of time were investigated. The changes in colour parameters were compared with visual assessment (VA) values while the changes in backscattering parameters were compared with pigment and water contents. Since VA is a non-destructive method, the measurement was conducted immediately after measurements using optical imaging methods (T0 to T10). The pigment and water contents measurements, due to their destructive methods, were carried out at the end of the experiment (T10). Significant (P<0.05) changes in all optical parameters, VA, pigments and water content subjected to temperature, ripening stage and treatment time were obtained. The analysis of the changes in colour parameters during treatment time provided the onset values of colour and time for development of chilling injury. The rate of reaction for the colour changes during the appearance of chilling injury symptoms were investigated using zeroth, first- and second-order model. Results revealed that hue (H) was the most suitable colour parameters to evaluate the development of chilling injury symptoms. The changes in H during development of chilling injury symptoms for each ripening stage can be predicted using zeroth-order model and first-order model for during and after storage, respectively. For during storage, kinetic model for each ripening stage provided lower uncertainty than irrespective ripening stages with R≥0.970. For after storage, kinetic model irrespective ripening stages provided comparable results with each ripening stage with R varies from 0.936 to 0.979 for analysis with each ripening stage and R=0.976 for analysis irrespective ripening stages. Analysis of the changes in backscattering parameters revealed that backscattering imaging at 660 nm obtained lower uncertainty than 785 nm with misclassification error less than 7% for 660 nm and 20% for 785 nm. Results also revealed that FWHM and the combination of IP, SA and FWHM for 660 nm and 785 nm respectively were the most appropriate backscattering parameters for evaluating chilling injury. Hence, optical imaging methods i.e. RGB and backscattering imaging are potentially useful in the evaluation of chilling injury symptoms in bananas
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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