The ripeness of bananas is the most significant factor affecting nutrient composition and
demand. Conventionally, cutting and ripeness analysis requires expert knowledge and …

Presently, the fruit industry requires a fast and efficient method for classification and
recognition of the quality of fruits in bulk processing. Fruit recognition based on computer …

Currently the classification processes of the degree of maturity of fruits require the use of
complex systems, which, most of the times, are not within the reach of small farmers or …

The inspection and grading of the watermelon are done manually but it is a tedious job and
it is difficult for the graders to maintain constant vigilance. Thus, the image processing has …

Traditional systems are being phased out in favour of modern technological systems. Many
ripeness detection instruments for vegetables and fruits exist, but they are inefficient and …

In this study, the Graph Neural Network is a new deep learning algorithm, just like
Convolutional Neural Network. This study aims to classify the ripeness of avocado using …

Image background subtraction is an important and essential process in many computer
vision applications as allows for a more effective processing of the foreground objects …

This paper presents a method for determining the ripeness of Cantaloupe using a K-Nearest
Neighbors (KNN) Algorithm on a Raspberry PI. One of the most common problems is …

Agriculture is the backbone of the country. About 70% percentage of India population
belongs to agriculture family. Due to the digital India programme, agricultural applications …

The purpose of this paper is to determine the ripeness level and identify the variety of the
Durian fruit through image processing using Principal Component Analysis (PCA) and …