Modeling of Potato Shelf Life on Evaporative Cooling Storage

Gulandaz, Md. Ashrafuzzaman; Sayed, Abu; Nur-A-Alam, Md.; Hossain, MJ; ., M.K. Hasan; Rahman, Mohammed Mirazur

doi:10.20448/journal.504.2017.41.5.13

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…Potato shrinkage was almost the same in both methods. The sugar content of the modified storage method was lower during the storage period and showed a smaller increase compared to conventional approaches [60]. In another study, sprout suppressants were employed to increase the shelf life of potato tubers, stating the key role of proper germination management in the prevention of tuber germination.…”

Section: Plos Onementioning

confidence: 96%

Determining the shelf life and quality changes of potatoes (Solanum tuberosum) during storage using electronic nose and machine learning

Khorramifar

Rasekh

Karami³

et al. 2023

PLoS ONE

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The activities of alpha-amylase, beta-amylase, sucrose synthase, and invertase enzymes are under the influence of storage conditions and can affect the structure of starch, as well as the sugar content of potatoes, hence altering their quality. Storage in a warehouse is one of the most common and effective methods of storage to maintain the quality of potatoes after their harvest, while preserving their freshness and sweetness. Smart monitoring and evaluation of the quality of potatoes during the storage period could be an effective approach to improve their freshness. This study is aimed at assessing the changes in the potato quality by an electronic nose (e-nose) in terms of the sugar and carbohydrate contents. Three potato cultivars (Agria, Santé, and Sprite) were analyzed and their quality variations were separately assessed. Quality parameters (i.e. sugar and carbohydrate contents) were evaluated in six 15-day periods. The e-nose data were analyzed by means of chemometric methods, including principal component analysis (PCA), linear data analysis (LDA), support vector machine (SVM), and artificial neural network (ANN). Quadratic discriminant analysis (QDA) and multivariate discrimination analysis (MDA) offer the highest accuracy and sensitivity in the classification of data. The accuracy of all methods was higher than 90%. These results could be applied to present a new approach for the assessment of the quality of stored potatoes.

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Section: Plos Onementioning

confidence: 96%

Determining the shelf life and quality changes of potatoes (Solanum tuberosum) during storage using electronic nose and machine learning

Khorramifar

Rasekh

Karami³

et al. 2023

PLoS ONE

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“…The comparison of product effects and costs for the cooling methods discussed above is shown in Table 2 and the classification of the crops grown in tropical countries according to the cooling method is given in Table 3. [49][50][51]…”

Section: Storage Under Correct Conditionsmentioning

confidence: 99%

Reducing post-harvest losses in fruits and vegetables for ensuring food security – Case of Sri Lanka

Rajapaksha¹,

Gunathilake²,

Pathirana³

et al. 2021

MOJFPT

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In Sri Lanka, 70% of 21 million population live in non-urban areas, and agriculture provides livelihood for approximately 40% of them. The agricultural marketing process in the country is a complex operation due to services and functions involved in moving a crop product from where it was produced to where it would finally be consumed. Further, with a wide range of agricultural crops being produced, post-harvest handling process create different degrees of quantitative and qualitative losses in a complex market chain, which are estimated at 20% to 40% for vegetables and 30% - 40% for fruits. Improper and non-scientific post-harvest practices and handling, gaps in integration of cold chain practices & elements with post-harvest process, and lack of knowledge & awareness on many related aspects at grass root farmer level etc. appear to contribute to losses that finally prevent due economic benefits reaching the small-scale producer. In order to increase the effectiveness of post-harvest process handling of fruit and vegetables, appropriate corrective measures targeting small scale producers as well as commercial scale producers need to be popularized and practiced. At small scale producer level, promotion of appropriate low-cost post-harvest practices and procedures, facilitating low-cost cold chain elements and user-friendly information flow mechanism on market situation would certainly help avoid some of the steps that lead to losses. Monitoring system of commercial post-harvest handling process that ensure scientific bulk handling, storage and transportation of fruit and vegetables, properly designed economic centers with well regulated environmentcontrolled storages etc. would greatly reduce loses in bulk handling, ensuring better food security in the island.

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Modeling of Potato Shelf Life on Evaporative Cooling Storage

Cited by 2 publications

References 2 publications

Determining the shelf life and quality changes of potatoes (Solanum tuberosum) during storage using electronic nose and machine learning

Determining the shelf life and quality changes of potatoes (Solanum tuberosum) during storage using electronic nose and machine learning

Reducing post-harvest losses in fruits and vegetables for ensuring food security – Case of Sri Lanka

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