Hyperspectral imaging technology for quality and safety evaluation of horticultural products: A review and celebration of the past 20-year progress

Y Lu, W Saeys, M Kim, Y Peng, R Lu - Postharvest Biology and Technology, 2020 - Elsevier
In the past 20 years, hyperspectral imaging has been widely investigated as an emerging,
promising technology for evaluating quality and safety of horticultural products. This …

Current and future applications of statistical machine learning algorithms for agricultural machine vision systems

TU Rehman, MS Mahmud, YK Chang, J Jin… - … and electronics in …, 2019 - Elsevier
With being rapid increasing population in worldwide, the need for satisfactory level of crop
production with decreased amount of agricultural lands. Machine vision would ensure the …

Principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: A review

B Zhang, W Huang, J Li, C Zhao, S Fan, J Wu… - Food Research …, 2014 - Elsevier
Appearance is a very important sensory quality attribute of fruits and vegetables, which can
influence not only their market value, consumer's preferences and choice but also their …

A methodology for fresh tomato maturity detection using computer vision

P Wan, A Toudeshki, H Tan, R Ehsani - Computers and electronics in …, 2018 - Elsevier
Recent advancements in computer vision have provided opportunities for new applications
in agriculture. Accurate yield estimation of fruit and vegetable crops is very important for …

Bruise damage measurement and analysis of fresh horticultural produce—A review

UL Opara, PB Pathare - Postharvest Biology and Technology, 2014 - Elsevier
Bruising is the most common type of mechanical damage affecting fresh horticultural
produce, and reduces quality to the consumer and income to fruit and vegetable industries …

Advances in machine vision applications for automatic inspection and quality evaluation of fruits and vegetables

S Cubero, N Aleixos, E Moltó, J Gómez-Sanchis… - Food and bioprocess …, 2011 - Springer
Artificial vision systems are powerful tools for the automatic inspection of fruits and
vegetables. Typical target applications of such systems include grading, quality estimation …

Supervised pattern recognition in food analysis

LA Berrueta, RM Alonso-Salces, K Héberger - Journal of chromatography A, 2007 - Elsevier
Data analysis has become a fundamental task in analytical chemistry due to the great
quantity of analytical information provided by modern analytical instruments. Supervised …

[HTML][HTML] Computer vision-based apple grading for golden delicious apples based on surface features

P Moallem, A Serajoddin, H Pourghassem - Information processing in …, 2017 - Elsevier
In this paper, a computer vision-based algorithm for golden delicious apple grading is
proposed which works in six steps. Non-apple pixels as background are firstly removed from …

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 …

Machine learning approach for forecasting crop yield based on climatic parameters

S Veenadhari, B Misra, CD Singh - … International Conference on …, 2014 - ieeexplore.ieee.org
With the impact of climate change in India, majority of the agricultural crops are being badly
affected interms of their performance over a period of last two decades. Predicting the crop …