Machine vision system for food grain quality evaluation: A review

P Vithu, JA Moses - Trends in food science & technology, 2016 - Elsevier
Background Quality of pre-processed food grains is a critical aspect and a major decider of
market acceptability, storage stability, processing quality, and overall consumer acceptance …

Image processing techniques to estimate weight and morphological parameters for selected wheat refractions

R Sharma, M Kumar, MS Alam - Scientific Reports, 2021 - nature.com
The geometric and color features of agricultural material along with related physical
properties are critical to characterize and express its physical quality. The experiments were …

GrainSpace: A large-scale dataset for fine-grained and domain-adaptive recognition of cereal grains

L Fan, Y Ding, D Fan, D Di… - Proceedings of the …, 2022 - openaccess.thecvf.com
Cereal grains are a vital part of human diets and are important commodities for people's
livelihood and international trade. Grain Appearance Inspection (GAI) serves as one of the …

Automatic classification of fruit defects based on co-occurrence matrix and neural networks

G Capizzi, GL Sciuto, C Napoli… - 2015 Federated …, 2015 - ieeexplore.ieee.org
Nowadays the effective and fast detection of fruit defects is one of the main concerns for fruit
selling companies. This paper presents a new approach that classifies fruit surface defects …

A novel neural networks-based texture image processing algorithm for orange defects classification

G Capizzi, G Lo Sciuto, C Napoli… - INTERNATIONAL …, 2016 - iris.uniroma1.it
In this paper is proposed, implemented and evaluated a novel radial basis probabilistic
neuralnetwork (RBPNN) based classification algorithm for classification fruit surface defects …

[HTML][HTML] Automated recognition and classification of adulteration levels from bulk paddy grain samples

BS Anami, NN Malvade, S Palaiah - Information processing in agriculture, 2019 - Elsevier
Fraudulent labeling and adulteration are the major concerns in the global rice industry.
Almost all the paddy varieties being sold in the market are prone to adulteration. It is very …

Recognition and Classification of similar looking food grain images using Artificial Neural Networks

S Dayanand - Journal of Applied Computer Science & Mathematics, 2011 - jacsm.ro
JACSM-paper details Home Editorial board Info authors Journal policy Submit paper Contact
Menu Paper title: Recognition and Classification of Similar Looking Food Grain Images using …

[PDF][PDF] Seed quality analysis using image processing and ANN

S Desai, AP Rao - International Journal of Trend in Scientific …, 2017 - academia.edu
The use of good quality seed is important for the satisfactory production of a good quality
crop and is essential for export in markets. Quality control is very important in food industry …

Floriculture classification using simple neural network and deep learning

S Dharwadkar, G Bhat, NVS Reddy… - 2017 2nd IEEE …, 2017 - ieeexplore.ieee.org
This paper presents an approach based on deep learning for identification and classification
of flowers to aid in domains such as patent analysis of flowers and floriculture industry. The …

[PDF][PDF] Grading and quality testing of food grains using neural network

N Sidnal, UV Patil, P Patil - … Journal of Research in Engineering and …, 2013 - academia.edu
The quality of food grains is referred to the every aspect of the profit of supply and marketing.
The varietals purity is one of the factors whose inspection is more difficult and more …