Current and future applications of statistical machine learning algorithms for agricultural machine vision systems
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 …
production with decreased amount of agricultural lands. Machine vision would ensure the …
An extensive review on agricultural robots with a focus on their perception systems
A Thakur, S Venu, M Gurusamy - Computers and Electronics in Agriculture, 2023 - Elsevier
Agriculture represents an essential aspect of human existence, providing the sustenance
necessary for survival in the form of food and various other products. Additionally, it serves …
necessary for survival in the form of food and various other products. Additionally, it serves …
Maize leaf disease identification based on feature enhancement and DMS-robust alexnet
M Lv, G Zhou, M He, A Chen, W Zhang, Y Hu - IEEE access, 2020 - ieeexplore.ieee.org
The identification of maize leaf diseases will meet great challenges because of the
difficulties in extracting lesion features from the constant-changing environment, uneven …
difficulties in extracting lesion features from the constant-changing environment, uneven …
Olive fruit selection through ai algorithms and RGB imaging
S Figorilli, S Violino, L Moscovini, L Ortenzi, G Salvucci… - Foods, 2022 - mdpi.com
(1) Background: Extra virgin olive oil production is strictly influenced by the quality of fruits.
The optical selection allows for obtaining high quality oils starting from batches with different …
The optical selection allows for obtaining high quality oils starting from batches with different …
Machine vision system for classification of bulk raisins using texture features
M Khojastehnazhand, H Ramezani - Journal of Food Engineering, 2020 - Elsevier
Classification of bulk raisin is one of the main challenges to producers and buyers of raisin
in the world. In this research, the quality of bulk raisin was investigated by using the image …
in the world. In this research, the quality of bulk raisin was investigated by using the image …
Automatic counting and individual size and mass estimation of olive-fruits through computer vision techniques
Fruit grading is an essential post-harvest task in the olive industry, where size-and-mass
based fruit classification is especially important when processing high-quality table olives …
based fruit classification is especially important when processing high-quality table olives …
New effective techniques for automatic detection and classification of external olive fruits defects based on image processing techniques
NM Hussain Hassan, AA Nashat - Multidimensional Systems and Signal …, 2019 - Springer
One of the major concerns for fruit selling companies, at present, is to find an effective way
for rapid classification and detection of fruit defects. Olive is one of the most important …
for rapid classification and detection of fruit defects. Olive is one of the most important …
A modified xception deep learning model for automatic sorting of olives based on ripening stages
Olive fruits at different ripening stages give rise to various table olive products and oil
qualities. Therefore, developing an efficient method for recognizing and sorting olive fruits …
qualities. Therefore, developing an efficient method for recognizing and sorting olive fruits …
Identification of olive fruit, in intensive olive orchards, by means of its morphological structure using convolutional neural networks
Accurate yield estimation is a greatly desired objective in oliviculture due to the high
economic value of its production. This paper presents a methodology aimed at achieving …
economic value of its production. This paper presents a methodology aimed at achieving …
[HTML][HTML] Advancements in machine visions for fruit sorting and grading: A bibliometric analysis, systematic review, and future research directions
This research conducted a bibliometric analysis of scholarly literature on fruit sorting and
grading using machine vision, identifying primary themes, sources, most-cited publications …
grading using machine vision, identifying primary themes, sources, most-cited publications …