Recent advances in automatic feature detection and classification of fruits including with a special emphasis on Watermelon (Citrillus lanatus): A review
D Caceres-Hernandez, R Gutierrez, K Kung… - Neurocomputing, 2023 - Elsevier
This document provides an overview of advances in the task of automatic feature detection
and classification of fruits, with and special interest in watermelon (Citrillus lanatus). The …
and classification of fruits, with and special interest in watermelon (Citrillus lanatus). The …
What can artificial intelligence approaches bring to an improved and efficient harvesting and postharvest handling of date fruit (Phoenix dactylifera L.)? A review
Y Noutfia, E Ropelewska - Postharvest Biology and Technology, 2024 - Elsevier
Date fruit (Phoenix dactylifera L.) is known for its diversity in terms of genotypes that differ in
shape, color, texture, taste, and other physical and sensory attributes, in addition to …
shape, color, texture, taste, and other physical and sensory attributes, in addition to …
Mango quality grading using deep learning technique: Perspectives from agriculture and food industry
India is an agrarian country; agriculture business is major source of income. India holds the
first rank in mango (Mangifera Indica Linn) production worldwide. The precise grading of the …
first rank in mango (Mangifera Indica Linn) production worldwide. The precise grading of the …
Rapid ripening stage classification and dry matter prediction of durian pulp using a pushbroom near infrared hyperspectral imaging system
This research examined the potential of a pushbroom near infrared hyperspectral imaging
(NIR-HSI) system (900–1600 nm) for ripening stage (unripe, ripe, and overripe) classification …
(NIR-HSI) system (900–1600 nm) for ripening stage (unripe, ripe, and overripe) classification …
Maturity classification of sweet peppers using image datasets acquired in different times
This paper presents maturity classification algorithms developed for small datasets and
methods to deal with the highly variable and continuously changing agricultural …
methods to deal with the highly variable and continuously changing agricultural …
Date fruit classification based on surface quality using convolutional neural network models
Classifying the quality of dates after harvesting the crop plays a significant role in reducing
waste from date fruit production. About one million tons of date fruit is produced annually in …
waste from date fruit production. About one million tons of date fruit is produced annually in …
A novel classification model of date fruit dataset using deep transfer learning
Date fruits are the most common fruit in the Middle East and North Africa. There are a wide
variety of dates with different types, colors, shapes, tastes, and nutritional values …
variety of dates with different types, colors, shapes, tastes, and nutritional values …
Date fruit sorting based on deep learning and discriminant correlation analysis
Date fruit is among the major crops in the middle-east region, where millions of tons are
harvested every year. Date is a healthy fruit, which involves sugars, minerals and vitamins …
harvested every year. Date is a healthy fruit, which involves sugars, minerals and vitamins …
Detection of quality in orange fruit image using SVM classifier
Non-destructive quality assessment of Fruits is essential and exceptionally fundamental for
the life sustenance and rural industry. The Fruits in the market are ought to fulfill the buyer …
the life sustenance and rural industry. The Fruits in the market are ought to fulfill the buyer …
[PDF][PDF] Fruit quality identification using image processing, machine learning, and deep learning: A review
N Aherwadi, U Mittal - Adv. Appl. Math. Sci, 2022 - mililink.com
The agriculture sector is the most important source of economic development of the country
worldwide. Appearance is the important part of the fruit as it describes its shape, size, and …
worldwide. Appearance is the important part of the fruit as it describes its shape, size, and …