Trends and prospect of machine vision technology for stresses and diseases detection in precision agriculture

J Shin, MS Mahmud, TU Rehman, P Ravichandran… - AgriEngineering, 2022‏ - mdpi.com
Introducing machine vision-based automation to the agricultural sector is essential to meet
the food demand of a rapidly growing population. Furthermore, extensive labor and time are …

Machine learning applications to non-destructive defect detection in horticultural products

JFI Nturambirwe, UL Opara - Biosystems engineering, 2020‏ - Elsevier
Highlights•Defects affecting horticultural products and detection challenges are
summarised.•Machine learning's role in addressing issues of fruit defect detection is …

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 …

[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 …

Learning techniques used in computer vision for food quality evaluation: a review

CJ Du, DW Sun - Journal of food engineering, 2006‏ - Elsevier
Learning techniques have been applied increasingly for food quality evaluation using
computer vision in recent years. This paper reviews recent advances in learning techniques …

Recent advances in emerging imaging techniques for non-destructive detection of food quality and safety

Q Chen, C Zhang, J Zhao, Q Ouyang - TrAC Trends in Analytical Chemistry, 2013‏ - Elsevier
Food quality and safety issues are increasingly attracting attention. Emerging imaging
techniques have particular advantages in non-destructive detection of food quality and …

Early detection of apple bruises on different background colors using hyperspectral imaging

G ElMasry, N Wang, C Vigneault, J Qiao… - LWT-Food Science and …, 2008‏ - Elsevier
The potentials of a hyperspectral imaging system were investigated for early detection of
bruises on 'McIntosh'apples. A hyperspectral imaging system was developed based on a …

IoT based smart system to support agricultural parameters: A case study

A Pathak, M AmazUddin, MJ Abedin… - Procedia Computer …, 2019‏ - Elsevier
Now-a-days, the natural irrigation system is under pressure due to the growing water
shortages, which are mainly caused by population growth and climate change. Therefore …

Development of a multi-spectral vision system for the detection of defects on apples

O Kleynen, V Leemans, MF Destain - Journal of food engineering, 2005‏ - Elsevier
A method to sort 'Jonagold'apples based on the presence of defects was proposed. A multi-
spectral vision system including four wavelength bands in the visible/NIR range was …

Automatic grading of Bi-colored apples by multispectral machine vision

D Unay, B Gosselin, O Kleynen, V Leemans… - … and electronics in …, 2011‏ - Elsevier
In this paper we present a novel application work for grading of apple fruits by machine
vision. Following precise segmentation of defects by minimal confusion with stem/calyx …