Assessment of seed quality using non-destructive measurement techniques: a review

A Rahman, BK Cho - Seed Science Research, 2016 - cambridge.org
Seed quality is of great importance in optimizing the cost of crop establishment. Rapid and
non-destructive seed quality detection methods must therefore be developed for agriculture …

Shape analysis of agricultural products: a review of recent research advances and potential application to computer vision

C Costa, F Antonucci, F Pallottino, J Aguzzi… - Food and Bioprocess …, 2011 - Springer
The appearance of agricultural products deeply conditions their marketing. Appearance is
normally evaluated by considering size, shape, form, colour, freshness condition and finally …

[图书][B] Computer and machine vision: theory, algorithms, practicalities

ER Davies - 2012 - books.google.com
Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled
Machine Vision) clearly and systematically presents the basic methodology of computer and …

[HTML][HTML] Computer vision based date fruit grading system: Design and implementation

Y Al Ohali - Journal of King Saud University-Computer and …, 2011 - Elsevier
The Kingdom of Saudi Arabia is the world's largest producer of date fruit. It produces almost
400 date varieties in bulk. During the harvesting season the date grading and sorting pose …

Applications of computer vision techniques in the agriculture and food industry: a review

JFS Gomes, FR Leta - European Food Research and Technology, 2012 - Springer
Over the last decades, parallel to technological development, there has been a great
increase in the use of visual inspection systems. These systems have been widely …

[HTML][HTML] Computer vision based food grain classification: A comprehensive survey

HO Velesaca, PL Suárez, R Mira, AD Sappa - Computers and Electronics in …, 2021 - Elsevier
This manuscript presents a comprehensive survey on recent computer vision based food
grain classification techniques. It includes state-of-the-art approaches intended for different …

Classification of seven Iranian wheat varieties using texture features

M Khojastehnazhand, M Roostaei - Expert Systems with Applications, 2022 - Elsevier
Wheat is a major crop in Iran and plays an essential role in satisfying human nutritional
needs. Depending on the geographical location as well as the climatic conditions of each …

Identification of insect-damaged wheat kernels using short-wave near-infrared hyperspectral and digital colour imaging

CB Singh, DS Jayas, J Paliwal, NDG White - Computers and electronics in …, 2010 - Elsevier
Healthy wheat kernels and wheat kernels damaged by the feeding of the insects: rice weevil
(Sitophilus oryzae), lesser grain borer (Rhyzopertha dominica), rusty grain beetle …

Identification of nine Iranian wheat seed varieties by textural analysis with image processing

A Pourreza, H Pourreza, MH Abbaspour-Fard… - … and electronics in …, 2012 - Elsevier
Applying machine vision techniques to classify wheat seeds based on their varieties is an
objective method which can increase the accuracy of this process in real applications. In this …

Review of seed quality and safety tests using optical sensing technologies

M Huang, QG Wang, QB Zhu, JW Qin… - Seed Science and …, 2015 - ingentaconnect.com
Seeds are of great importance to agricultural and industrial production. As such, rapid and
non-destructive detection methods must be developed for the industry and consumers to …