Reference

Title

Fruit(s)

Algorithm(s)

Accuracy(ies)

Dubey, and Jalal [11]

A robust approach for fruit and vegetable classification

Plum, potato, cashew, onion, orange, kiwi, apple, watermelon, pear and peach

SVM

99%

Savakar [10]

Identification and classification of bulk fruits images

Apple, mango, sweet lemon and orange

ANN

94%

Khaing, Naung, and Htut [14]

Control system for fruit classification

Apples, bananas, blueberries, kiwi fruits, raspberries

CNN

94%

Nosseir and Ahmed [17]

Automatic classification for fruits’ types and

identification of rotten ones

Banana, apple, and strawberry

K-NN, Linear SVM and Quadratic SVM

95%, 96% and 98%

Zeeshan, Prabhu, Arun and Rani [19]

Fruit classification system

Apple, Grapes, Bosch Pears, Banana, Blackberries, Blueberries, Anjou Pears, Cantaloupes, etc.

SVM

87 %

Ummapure and Hanchinal [18]

Multi features based fruit classification

Apple, Banana, Cherry, Grapes, and Mango

SVM, MLP and RF

99.98%

Our Proposed Method

Application of machine learning techniques for Okra shelf life prediction

Okra fruits only

SVM, Naïve Bayes and Decision Tree

100%

Logistic Regression

88.89%

K-NN

83.33%