Development of a low-cost digital image processing system for oranges selection using hopfield networks

IR Fermo, TS Cavali, L Bonfim-Rocha… - Food and bioproducts …, 2021 - Elsevier
The orange processing industry has grown vertiginously around the world recently once that
orange derived products are embedded in a profitable market that constitutes a substantial …

Detection of quality in orange fruit image using SVM classifier

H Patel, R Prajapati, M Patel - 2019 3rd International …, 2019 - ieeexplore.ieee.org
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 …

Quality Assessment of Orange Fruit Images Using Convolutional Neural Networks

B Leelavathy, YSS Sri Datta, YS Rachana - Proceedings of International …, 2021 - Springer
For sustainability of life and rural development, assessment of fruits in a non-destructive
manner is required. The fruits which are available in the market must fulfill buyer needs …

[HTML][HTML] The Role of Deep Learning and Deep Neural Networks in Predicting and Measurement of Quality of Orange Fruits

P Ghatode, SK Sharma - SPAST Abstracts, 2021 - spast.org
Non-destructive natural product quality measurement is important and completely essential
for life sustenance and rural agriculture. Customers' needs should be accommodated by …

Investigating the Effect of Different Rootstocks on the Morphological, Phytochemical and Molecular Indicators of Thomson Navel Orange Fruit at Commercial Maturity

F Ahmadi, MM Sharifani, A Mousavi… - Journal Of Horticultural …, 2024 - jhs.um.ac.ir
IntroductionExternal and internal quality of citrus such as color, shape and taste increase
economic benefit. The vigour of each rootstock causes qualitative and quantitative change …

[引用][C] Design and Implementation of Orange Sorting Process

PA Jadhav, SK Mohod, DB Bhoyar