Quality evaluation of apple fruit: A Survey

Sindhi, Komal; Pandya, Jaymit; Vegad, Sudhir

doi:10.5120/ijca2016908340

Cited by 6 publications

(6 citation statements)

References 11 publications

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“…According to a number of sources, it follows that the average fructose content in ripe apple fruits ranges from 5.9-12.6 g, glucose -2.43-5.35 g and sucrose -1.90-4.70 g [8][9][10][11]. At the same time, the authors note that the fructose content in seed crops (which also includes apple trees) is 2-3 times higher than the glucose content; the amount of sucrose is most often equal to the glucose content, but as apples mature, the glucose content decreases [12][13][14].…”

Section: Resultsmentioning

confidence: 99%

Biochemical composition of apple fruits when treated with growth-stimulating agrochemicals

et al. 2023

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The objects of research were the fruits of apple trees of the Golden Reinders variety (rootstock M 9) grown on the basis of experimental plantings Agricultural institute, Science Academy of Abkhazia. Complex organic fertilizers have been selected as agrochemicals Antistress Chelate and Chelate Filling. The research is aimed at finding new, highly efficient and environmentally friendly agrochemicals, and also determines the development of technology for their application. It was found that the Golden Reinders variety in the humid subtropical zone accumulates from 10.6% (under control) to 11.6% (with non-root treatments) of sugars. Treatments with agrochemicals affected the main quantitative patterns in the content of mono- and disaccharides in apple fruits. The amount of fructose ranges from 6.63 g/100 g at the control to 7.52 g/100 g during treatments; glucose accumulates on average only 1.1-1.2 g/100 g, depending on the variant. Sucrose in fruits is 2.4-2.6 times more than glucose, which characterizes the ripening processes in fruits. Agrochemicals treatments have an ambiguous effect on the accumulation of organic acids. So, if there is a significant increase in malic, citric and tartaric acid during processing, then the content of lactic, succinic, oxalic and acetic acid drops. The sugar-acid index averages 13.6 units, there is a slightly acidic taste.

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Section: Resultsmentioning

confidence: 99%

Biochemical composition of apple fruits when treated with growth-stimulating agrochemicals

et al. 2023

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“…The usefulness of this method is more than 90%. Komal Sindhi and Jaymit Pandya [5] have mainly focus on evaluating the quality of fruits. In this article, the four most common diseases of the apple have been observed.…”

Section: Literature Surveymentioning

confidence: 99%

Apple Fruit Disease Detection for Hydroponic Plants Using Machine Learning and Image Processing

Journal

2023

IJSREM

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Agriculture played a major role in the economy of many developing countries. Apple falls under the commercial crops as a fruit that will be grown worldwide. In the whole growth cycle of apples, there are many types of apple diseases and pests, therefore, recognition and determination of these illnesses are essential. K-means Cluster segmentation is used to detect the diseases in the apple fruit. In the feature extraction method, the Threshold segmentation process is applied and extracts the pixels from the apple and predicts the disease present in apple fruit. The machine learning algorithm like, Support Vector Machine and Deep learning algorithm like Convolutional Neural Network algorithms are used to test & train the data. The tool used for implementation is Anaconda Spyder 3.7 and Python Language. It is free of cost and the most popular non-proprietary dispensation software of Python programming. The dataset contains both healthy and unhealthy apple fruit images and a confusion matrix for validating the proposed system will change depending on the dataset. The outcomes visualize the higher arrangement exactness of the proposed SVM and CNN model. At last, the outcome will be generated in the form of loss, accuracy, precision, recall, sensitivity, and specificity. Keywords— : K-means Clustering, Support Vector Machine, Classification, Classification Neural Network

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“…Apple fruit has few internal diseases that cannot identify by physical observation. (Komal Sindhi et al, 2016). [1] Different non-destructive technologies are available to detect internal defects on agricultural products and the advantages and disadvantages of using different technologies like X-ray, NIR, Sonic/ Ultrasonic method, and MRI on Mangoes fruit diseases (Anita Raghavendra et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…(Komal Sindhi et al, 2016). [1] Different non-destructive technologies are available to detect internal defects on agricultural products and the advantages and disadvantages of using different technologies like X-ray, NIR, Sonic/ Ultrasonic method, and MRI on Mangoes fruit diseases (Anita Raghavendra et al, 2016). [2] Modern challenges in food science require an understanding of the new determinants of the quality and safety of food products.…”

Section: Introductionmentioning

confidence: 99%

The Development of Apple MRI Dataset for Internal Quality Analysis

Rumma,

Hangarge

2023

SMSJ

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Internal quality assessment of agricultural products is challenging for exporting premium quality of Agri products like apple fruits. In this, we have analyzed the internal quality of apple fruits by a non-destructive method. We have developed our own dataset of MR images of apples by subjecting 21 apples into MRI scanning for the development of robotics detection of internal defects in apples. This MRI scanning led into 196 MR images Comparative study was carried out on the basis of MRI images with respective external photographic images of apple fruits. The apples were grouped into four categories depending on external and internal defects. By this study, we can easily identify the percentage and area of the defect without affecting the physical appearance of the apple.

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Quality evaluation of apple fruit: A Survey

Cited by 6 publications

References 11 publications

Biochemical composition of apple fruits when treated with growth-stimulating agrochemicals

Biochemical composition of apple fruits when treated with growth-stimulating agrochemicals

Apple Fruit Disease Detection for Hydroponic Plants Using Machine Learning and Image Processing

The Development of Apple MRI Dataset for Internal Quality Analysis

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