Rice for food security: Revisiting its production, diversity, rice milling process and nutrient content

NA Mohidem, N Hashim, R Shamsudin, H Che Man - Agriculture, 2022 - mdpi.com
Rice is food consumed regularly and is vital for the food security of over half the world's
population. Rice production on a global scale is predicted to rise by 58 to 567 million tonnes …

Potential applications of computer vision in quality inspection of rice: a review

H Zareiforoush, S Minaei, MR Alizadeh… - Food engineering …, 2015 - Springer
Among the cereals, rice is the major foodstuff for a large part of the world's population. Due
to its tremendous importance in the global market, its qualitative economic aspects during …

[HTML][HTML] Image analysis based on color, shape and texture for rice seed (Oryzaásativa L.) germination evaluation

B Lurstwut, C Pornpanomchai - Agriculture and Natural Resources, 2017 - Elsevier
Abstract Computer software—the Rice Seed Germination Evaluation System (RSGES)—was
developed which can evaluate a rice seed image for germination prediction by using digital …

Machine learnt image processing to predict weight and size of rice kernels

SK Singh, SK Vidyarthi, R Tiwari - Journal of Food Engineering, 2020 - Elsevier
Accurate measurement of rice kernel sizes after milling is critical for rice milling operations.
The size and mass of the individual rice kernels are important parameters typically …

A hybrid intelligent approach based on computer vision and fuzzy logic for quality measurement of milled rice

H Zareiforoush, S Minaei, MR Alizadeh, A Banakar - Measurement, 2015 - Elsevier
In this research, a fuzzy inference system (FIS) coupled with image processing technique
was developed as a decision-support system for qualitative grading of milled rice. Two …

Qualitative classification of milled rice grains using computer vision and metaheuristic techniques

H Zareiforoush, S Minaei, MR Alizadeh… - Journal of food science …, 2016 - Springer
Qualitative grading of milled rice grains was carried out in this study using a machine vision
system combined with some metaheuristic classification approaches. Images of four different …

Design, development and performance evaluation of an automatic control system for rice whitening machine based on computer vision and fuzzy logic

H Zareiforoush, S Minaei, MR Alizadeh… - … and Electronics in …, 2016 - Elsevier
The objective of this study was develo** an intelligent automatic control system (ACS)
based on machine vision and fuzzy logic techniques to control the performance of rice …

[PDF][PDF] Effect of degree of milling (Dom) on overall quality of rice—A review

S Puri, B Dhillon, NS Sodhi - International Journal of Advanced …, 2014 - researchgate.net
Cereal grains, mainly rice, wheat, millets and maize are consumed globally in one form or
the other. Rice is a staple food grain of India and is composed of husk, bran and endosperm …

Adaptive neuro-fuzzy inference system based grading of basmati rice grains using image processing technique

D Mandal - Applied System Innovation, 2018 - mdpi.com
Grading of rice intents to discriminate broken and whole grain from a sample. Standard
techniques for image-based rice grading using advanced statistical methods seldom take …

Correlation analysis between color parameters and sensory characteristics of rice with different milling degrees

Y Zhong, W Liu, X Xu, C Liu, Z Tu - Journal of Food Processing …, 2014 - Wiley Online Library
The effects of degrees of milling on color parameters and sensory characteristics of rice
were evaluated, and their relationships were established by the method of P earson …