scholarly journals Multi-Sensors Enabled Dynamic Monitoring and Quality Assessment System (DMQAS) of Sweet Cherry in Express Logistics

Foods ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 602 ◽  
Author(s):  
Xiaoshuan Zhang ◽  
Xuepei Wang ◽  
Shaohua Xing ◽  
Yunfei Ma ◽  
Xiang Wang
Keyword(s):  
Quality Assessment ◽  
Nutritional Value ◽  
Sweet Cherry ◽  
Safety Management ◽  
Environmental Parameters ◽  
Assessment System ◽  
Dynamic Monitoring ◽  
Market Demand ◽  
Continuous Growth ◽  
Sweet Cherries

The market demand for fresh sweet cherries in China has experienced continuous growth due to its rich nutritional value and unique taste. Nonetheless, the characteristics of fruits, transportation conditions and uneven distribution pose a huge obstacle in keeping high quality, especially in express logistics. This paper proposes dynamic monitoring and quality assessment system (DMQAS) to reduce the quality loss of sweet cherries in express logistics. The DMQAS was tested and evaluated in three typical express logistics scenarios with “Meizao” sweet cherries. The results showed that DMQAS could monitor the changes of critical micro-environmental parameters (temperature, relative humidity, O2, CO2 and C2H4) during the express logistics, and the freshness prediction model showed high accuracy (the relative error was controlled within 10%). The proposed DMQAS could provide complete and accurate microenvironment data and can be used to further improve the quality and safety management of sweet cherries during express logistics.

scholarly journals Sweet Cherries as Anti-Cancer Agents: From Bioactive Compounds to Function

Molecules ◽  
2021 ◽  
Vol 26 (10) ◽  
pp. 2941
Author(s):  
Lara R. S. Fonseca ◽  
Gonçalo R. Silva ◽  
Ângelo Luís ◽  
Henrique J. Cardoso ◽  
Sara Correia ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Bioactive Compounds ◽  
Nutritional Value ◽  
Sweet Cherry ◽  
Prunus Avium ◽  
Metabolic Reprogramming ◽  
Phytochemical Composition ◽  
Technological Advances ◽  
Sweet Cherries ◽  
Carcinogenic Process

Sweet cherries (Prunus avium L.) are among the most appreciated fruits worldwide because of their organoleptic properties and nutritional value. The accurate phytochemical composition and nutritional value of sweet cherries depends on the climatic region, cultivar, and bioaccessibility and bioavailability of specific compounds. Nevertheless, sweet cherry extracts are highly enriched in several phenolic compounds with relevant bioactivity. Over the years, technological advances in chemical analysis and fields as varied as proteomics, genomics and bioinformatics, have allowed the detailed characterization of the sweet cherry bioactive phytonutrients and their biological function. In this context, the effect of sweet cherries on suppressing important events in the carcinogenic process, such as oxidative stress and inflammation, was widely documented. Interestingly, results from our research group and others have widened the action of sweet cherries to many hallmarks of cancer, namely metabolic reprogramming. The present review discusses the anticarcinogenic potential of sweet cherries by addressing their phytochemical composition, the bioaccessibility and bioavailability of specific bioactive compounds, and the existing knowledge concerning the effects against oxidative stress, chronic inflammation, deregulated cell proliferation and apoptosis, invasion and metastization, and metabolic alterations. Globally, this review highlights the prospective use of sweet cherries as a dietary supplement or in cancer treatment.

scholarly journals The Application of Machine Learning for Cultivar Discrimination of Sweet Cherry Endocarp

Agriculture ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 6
Author(s):  
Ewa Ropelewska
Keyword(s):  
Sweet Cherry ◽  
Color Space ◽  
Geometric Parameters ◽  
Geometric Features ◽  
Color Spaces ◽  
Discriminative Models ◽  
Sweet Cherries ◽  
Rgb Color Space ◽  
Cultivar Discrimination ◽  
Color Channels

The aim of this study was to evaluate the usefulness of the texture and geometric parameters of endocarp (pit) for distinguishing different cultivars of sweet cherries using image analysis. The textures from images converted to color channels and the geometric parameters of the endocarp (pits) of sweet cherry ‘Kordia’, ‘Lapins’, and ‘Büttner’s Red’ were calculated. For the set combining the selected textures from all color channels, the accuracy reached 100% when comparing ‘Kordia’ vs. ‘Lapins’ and ‘Kordia’ vs. ‘Büttner’s Red’ for all classifiers. The pits of ‘Kordia’ and ‘Lapins’, as well as ‘Kordia’ and ‘Büttner’s Red’ were also 100% correctly discriminated for discriminative models built separately for RGB, Lab and XYZ color spaces, G, L and Y color channels and for models combining selected textural and geometric features. For discrimination ‘Lapins’ and ‘Büttner’s Red’ pits, slightly lower accuracies were determined—up to 93% for models built based on textures selected from all color channels, 91% for the RGB color space, 92% for the Lab and XYZ color spaces, 84% for the G and L color channels, 83% for the Y channel, 94% for geometric features, and 96% for combined textural and geometric features.

scholarly journals The Adjustment of China’s Grain Planting Structure Reduced the Consumption of Cropland and Water Resources

2021 ◽  
Vol 18 (14) ◽  
pp. 7352
Author(s):  
Yu Zhang ◽  
Jieyong Wang ◽  
Chun Dai
Keyword(s):  
Water Resources ◽  
Structural Adjustment ◽  
Land Reclamation ◽  
National Level ◽  
Cumulative Effect ◽  
Northern China ◽  
Semiarid Region ◽  
Market Demand ◽  
Continuous Growth ◽  
Northern Regions

Driven by technological progress and market demand, the optimization and adjustment of grain planting structure played an important role in increasing grain output. Due to the great difference between the yield per unit area of different types of food crops, the consumption of cropland and water resources has a significant change during the grain growth. From the perspective of structural adjustment, rather than the usual productive factor input, we analyze the process of adjustment for grain planting structure in China and its effect on the consumption of cropland and water resources by using the scenario comparative analysis method. The results show that: (1) From 2003 to 2019, China’s grain output has increased steadily and the planting structure has changed greatly. Rice was replaced by corn to become the grain crop with the maximum proportion of planting area since 2007. The increase of corn planting structure proportion is concentrated in the northern regions. (2) At the national level, according to the adjustment of grain planting structure, the saving of cropland and water resources consumption showed a “cumulative effect” as time went on. (3) The saving effects of structural adjustment in the northern regions on cropland and water resources consumption are better than that in the southern regions, such as Northeast China Plain, Northern arid and semiarid region and Loess Plateau. (4) In reality, although the adjustment of grain planting structure saved lots of cropland and water resources, the continuous growth of grain output has increased the pressure on the ecological environment in the northern regions according to theirs water limits. Therefore, it is necessary to continuously optimize the grain planting structure and restrict land reclamation in northern China. In addition, to ensure food security, it is feasible to encourage the southern regions with abundant water and heat resources to increase the grain planting area and meet its self-sufficiency in grain demand.

Air quality assessment system based on self-driven drone and LoRaWAN network

2021 ◽  
Author(s):  
Attila Simo ◽  
Simona Dzitac ◽  
Ioan Dzitac ◽  
Mihaela Frigura-Iliasa ◽  
Flaviu Mihai Frigura-Iliasa
Keyword(s):  
Air Quality ◽  
Quality Assessment ◽  
Assessment System ◽  
Air Quality Assessment

scholarly journals Identification and Sequence Analysis of a Novel Ilarvirus Infecting Sweet Cherry

Plants ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 514
Author(s):  
Chrysoula G. Orfanidou ◽  
Fei Xing ◽  
Jun Zhou ◽  
Shifang Li ◽  
Nikolaos I. Katis ◽  
...  
Keyword(s):  
Phylogenetic Analysis ◽  
Nucleotide Sequence ◽  
Sanger Sequencing ◽  
Sweet Cherry ◽  
Novel Species ◽  
Peach Tree ◽  
Sweet Cherries ◽  
Blastn Analysis ◽  
Fruit Orchards ◽  
Prunus Spp

In the present study, we utilized high throughput and Sanger sequencing to determine the complete nucleotide sequence of a putative new ilarvirus species infecting sweet cherry, tentatively named prunus virus I (PrVI). The genome of PrVI is comprised of three RNA segments of 3474 nt (RNA1), 2911 nt (RNA2), and 2231 nt (RNA3) and features conserved motifs representative of the genus Ilarvirus. BlastN analysis revealed 68.1–71.9% nt identity of PrVI with strawberry necrotic shock virus (SNSV). In subsequent phylogenetic analysis, PrVI was grouped together with SNSV and blackberry chlorotic ringspot virus (BCRV), both members of subgroup 1 of ilarviruses. In addition, mini-scale surveys in stone fruit orchards revealed the presence of PrVI in a limited number of sweet cherries and in one peach tree. Overall, our data suggest that PrVI is a novel species of the genus Ilarvirus and it consists the fifth member of the genus that is currently known to infect Prunus spp.

scholarly journals Variability of Old Sweet Cherries Found in Slovak Regions and Their Preservation

2017 ◽  
Vol 71 (3) ◽  
pp. 184-189
Author(s):  
Michaela Benková ◽  
Iveta Čičová ◽  
Daniela Benedikova ◽  
Lubomir Mendel ◽  
Miroslav Glasa
Keyword(s):  
Sweet Cherry ◽  
Prunus Avium ◽  
Fruit Size ◽  
Morphological Characteristics ◽  
Quality Parameters ◽  
Fruit Weight ◽  
Sweet Cherries ◽  
Prunus Mahaleb ◽  
Breeding Programmes ◽  
Prunus Avium L

Abstract The work is focused on the evaluation of variability of morphological and pomological characteristics of several old sweet cherries (Prunus avium L.) that were found in different Slovak regions. The experimental work has been performed during two years, 2014 and 2015. The following characteristics according to the descriptor list of subgenus Cerasus were evaluated - period of flowering and ripening, morphological characteristics of the flowers, fruit size, fruit weight, and quality parameters. The results showed high variability of evaluated accessions. From the 13 surveyed localities, the most valuable accessions were found in the locality Hornį Streda - places Čachtice, Krakovany, Nitra, and Brdárka. During the collecting expeditions, 170 accessions of sweet cherry, with fruit of the different quality were found. The most interesting accessions were grafted onto rootstocks with different intensity of growth (Prunus avium L., Prunus mahaleb L., and ‘Gisela5’). Some of the selected cherry accessions can be used for commercial growing after tests, while some of them can be used only for collection of genetic resources and as potential genitors in breeding programmes.

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