Postharvest Physiological Disorders of Banana Fruit

2021 ◽  
pp. 97-169
Author(s):  
Saichol Ketsa ◽  
Apinya Wisutiamonkul
2018 ◽  
Vol 5 (2) ◽  
pp. 60-67 ◽  
Author(s):  
Dwi Yulianto ◽  
Retno Nugroho Whidhiasih ◽  
Maimunah Maimunah

ABSTRACT   Banana fruit is a commodity that contributes a great value to both national and international fruit production achievement. The government through the National Standardization Agency establishes standards to maintain the quality of bananas. The purpose of this Project is to classify the stages of maturity of Ambon banana base on the color index using Naïve Bayes method in accordance with the regulations of SNI 7422:2009. Naive Bayes is used as a method in the classification process by comparing the probability values generated from the variable value of each model to determine the stage of Ambon banana maturity. The data used is the primary data image of 105 pieces of Ambon banana. By using 3 models which consists of different variables obtained the same greatest average accuracy by using the 2nd model which has 9 variable values (r, g, b, v, * a, * b, entropy, energy, and homogeneity) and the 3rd model has 7 variable values (r, g, b, v , * a, entropy and homogeneity) that is 90.48%.   Keywords: banana maturity, classification, image processing     ABSTRAK   Buah pisang merupakan komoditas yang memberikan kontribusi besar terhadap angka produksi buah nasional maupun internasional. Pemerintah melalui Badan Standarisasi Nasional menetapkan standar untuk buah pisang, menjaga mutu  buah pisang. Tujuan dari penelitian ini adalah klasifikasi tahapan kematangan dari buah pisang ambon berdasarkan indeks warna menggunakan metode Naïve Bayes  sesuai dengan SNI 7422:2009. Naive bayes digunakan sebagai metode dalam proses pengklasifikasian dengan cara membandingkan nilai probabilitas yang dihasilkan dari nilai variabel penduga setiap model untuk menentukan tahap kematangan pisang ambon. Data yang digunakan adalah data primer citra pisang ambon sebanyak 105. Dengan menggunakan 3 buah model yang terdiri dari variabel penduga yang berbeda didapatkan akurasi rata-rata terbesar yang sama yaitu dengan menggunakan model ke-2 yang mempunyai 9 nilai variabel (r, g, b, v, *a, *b, entropi, energi, dan homogenitas) dan model ke-3 yang mempunyai 7 nilai variabel (r, g, b, v, *a, entropi dan homogenitas) yaitu sebesar 90.48%.   Kata Kunci : kematangan pisang,  klasifikasi, pengolahan citra


2021 ◽  
Vol 186 ◽  
pp. 106194
Author(s):  
Meenatai G. Kamble ◽  
Anurag Singh ◽  
Vijendra Mishra ◽  
Murlidhar Meghwal ◽  
Pramod K. Prabhakar

Agriculture ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 584
Author(s):  
Hafza Fasiha Zahid ◽  
Chaminda Senaka Ranadheera ◽  
Zhongxiang Fang ◽  
Said Ajlouni

Among the waste by-products generated by the fruit industry (peels, seeds, and skins), fruit peel constitutes the major component. It is estimated that fruit peel accounts for at least 20% of the fresh fruit weight. Fruit peels are considered as major sources of dietary fiber and anticipated to be successfully utilized as prebiotics. This study examined the chemical composition, functional properties and the prebiotic effects of three major tropical fruit peels (apple, banana and mango). The prebiotic effect was tested using three commercial probiotic strains (Lactobacillus rhamnosus, L. casei and Bifidobacterium lactis) individually and in combination. Each probiotic culture was fortified with different concentration (0%, 2% and 4%) of selected fruit peel powder (FPP). Results revealed that all tested FPP significantly (p < 0.05) enhanced the probiotics viable counts, which reached >10 logs after 24 h of incubation. However, the concentration of 2% and 4% FPP showed no significant differences (p > 0.05) on the probiotic viable counts. Additionally, the prebiotic effects of FPP were the same when applied to individual and mixed cultures. This investigation demonstrated that small amount (2%) of apple, banana and mango peel powder could be successfully utilized as prebiotics to enhance the growth of lactic acid bacteria (LAB). Additionally, the studied physical and chemical characteristics of FPP demonstrated their potential applications in the food and pharmaceutical industries as functional ingredients.


Traditio ◽  
1984 ◽  
Vol 40 ◽  
pp. 43-89 ◽  
Author(s):  
Walter E. Stephens

Nowadays we define Giants as persons suffering from scientifically defined physiological disorders. Since Western culture has a short memory for obsolete scientific discourse, however, the simplicity of our contemporary understanding of gigantism makes it difficult for us to understand previous attitudes toward Giants, especially as expressed in literature. As Donald Frame has remarked, ‘When most Western readers think of giants in literature, they think of Rabelais and Swift; when they think of Rabelais and Swift, they think of giants.’ However, the actual importance of Rabelais and Swift would be seriously misrepresented were we to imagine them as exponents of the traditional Western attitude toward Giants and gigantism. What is more, Rabelais, who is the source of most early modern speculation about Giants, is a particularly problematic case. His combination of agile parodic wit and extreme philosophical and theological literacy is only beginning to be satisfactorily understood. Thus his treatment of gigantological themes has until now been almost completely misrepresented because of an insufficient understanding of the cultural significance of gigantism before his time. In fact, he is at least two removes from a coherent tradition of gigantological discourse running from the Old Testament through Judaic and patristic commentary and historiography, straight into the era of humanism. While the scope of this article will not permit an intensive analysis of Rabelais' own gigantology, an analysis of the two traditions upon which he depended will implicitly demonstrate the inadequacy of the conventional wisdom which sees Pantagruel and Gargantua as a direct outgrowth of medieval French folklore, the Grandes chronicques, and the literary romances of Pulci and Folengo.


2008 ◽  
Vol 99 (17) ◽  
pp. 8507-8511 ◽  
Author(s):  
Rajbir Singh ◽  
R.R. Sharma ◽  
Satyendra Kumar ◽  
R.K. Gupta ◽  
R.T. Patil

2012 ◽  
Vol 56 ◽  
pp. 47-55 ◽  
Author(s):  
Huei-Lin Hu ◽  
Yi-Yin Do ◽  
Pung-Ling Huang

1998 ◽  
Vol 14 (1) ◽  
pp. 87-98 ◽  
Author(s):  
J.B Golding ◽  
D Shearer ◽  
S.G Wyllie ◽  
W.B McGlasson
Keyword(s):  

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