Machine vision system for food grain quality evaluation: A review
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 …
market acceptability, storage stability, processing quality, and overall consumer acceptance …
Wheat seed classification: utilizing ensemble machine learning approach
A Khatri, S Agrawal, JM Chatterjee - Scientific programming, 2022 - Wiley Online Library
Recognizing and authenticating wheat varieties is critical for quality evaluation in the grain
supply chain, particularly for methods for seed inspection. Recognition and verification of …
supply chain, particularly for methods for seed inspection. Recognition and verification of …
[PDF][PDF] Identification of rice varieties using machine learning algorithms
Rice, which has the highest production and consumption rates worldwide, is among the
main nutrients in terms of being economical and nutritious in our country as well. Rice goes …
main nutrients in terms of being economical and nutritious in our country as well. Rice goes …
Automated detection of mechanical damage in flaxseeds using radiographic imaging and machine learning
The growing demand for flaxseed as a source of healthy edible oil mandates the need for
adopting novel strategies for preserving its quantity and quality. Mechanical damage during …
adopting novel strategies for preserving its quantity and quality. Mechanical damage during …
Sieveless particle size distribution analysis of particulate materials through computer vision
C Igathinathane, LO Pordesimo, EP Columbus… - … and Electronics in …, 2009 - Elsevier
This paper explores the inconsistency of “length-based separation” by mechanical sieving of
particulate materials with standard sieves, which is the standard method of particle size …
particulate materials with standard sieves, which is the standard method of particle size …
Image processing techniques to estimate weight and morphological parameters for selected wheat refractions
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 …
properties are critical to characterize and express its physical quality. The experiments were …
Potential of artificial neural networks in varietal identification using morphometry of wheat grains
BP Dubey, SG Bhagwat, SP Shouche, JK Sainis - Biosystems engineering, 2006 - Elsevier
The shape, size and colour of grains are normally employed to identify wheat varieties. Use
of computer-based image analysis is a good alternative to visual identification. Artificial …
of computer-based image analysis is a good alternative to visual identification. Artificial …
Major orthogonal dimensions measurement of food grains by machine vision using ImageJ
C Igathinathane, LO Pordesimo… - Food Research …, 2009 - Elsevier
A machine vision ImageJ plugin was developed in Java for orthogonal length and width
determination of singulated particles from digital images. A flatbed scanner obtained the …
determination of singulated particles from digital images. A flatbed scanner obtained the …
GrainSpace: A large-scale dataset for fine-grained and domain-adaptive recognition of cereal grains
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 …
livelihood and international trade. Grain Appearance Inspection (GAI) serves as one of the …
[HTML][HTML] Optical signal intensity incorporated rice seed cultivar classification using optical coherence tomography
Here, the optical signal intensity of swept-source optical coherence tomography (SS-OCT)
was incorporated to assess the images of different rice seeds for precise cultivar …
was incorporated to assess the images of different rice seeds for precise cultivar …