A review of destructive and non-destructive methods for determining avocado fruit maturity
LS Magwaza, SZ Tesfay - Food and bioprocess technology, 2015 - Springer
Optimum harvest maturity is one of the important factors determining the quality of avocado
fruit. Currently, avocado harvest maturity is mostly determined using markers or indices such …
fruit. Currently, avocado harvest maturity is mostly determined using markers or indices such …
Classification of cape gooseberry fruit according to its level of ripeness using machine learning techniques and different color spaces
The classification of fresh fruits according to their visual ripeness is typically a subjective and
tedious task; consequently, there is a growing interest in the use of non-contact techniques …
tedious task; consequently, there is a growing interest in the use of non-contact techniques …
Determination of “Hass” avocado ripeness during storage based on smartphone image and machine learning model
BH Cho, K Koyama, E Olivares Díaz… - Food and Bioprocess …, 2020 - Springer
Determination of ripeness represented by firmness measured during storage is important to
guide the supply chain management of avocados. A machine vision system devised with a …
guide the supply chain management of avocados. A machine vision system devised with a …
Towards a real-time oil palm fruit maturity system using supervised classifiers based on feature analysis
Remote sensing sensors-based image processing techniques have been widely applied in
non-destructive quality inspection systems of agricultural crops. Image processing and …
non-destructive quality inspection systems of agricultural crops. Image processing and …
Automated fruit grading using optimal feature selection and hybrid classification by self-adaptive chicken swarm optimization: grading of mango
N Kumari, RK Dwivedi, AK Bhatt, R Belwal - Neural computing and …, 2022 - Springer
Post-harvest grading is an essential and important process that affects the fruit quality,
evaluation, health-intensive, and export market. Even though the sorting and grading can be …
evaluation, health-intensive, and export market. Even though the sorting and grading can be …
Multivariate analysis and machine learning for ripeness classification of cape gooseberry fruits
This paper explores five multivariate techniques for information fusion on sorting the visual
ripeness of Cape gooseberry fruits (principal component analysis, linear discriminant …
ripeness of Cape gooseberry fruits (principal component analysis, linear discriminant …
Hass avocado ripeness classification by mobile devices using digital image processing and ANN methods
CA Jaramillo-Acevedo… - International Journal of …, 2020 - degruyter.com
Proper farming, transportation, and storage processes of Hass avocado are important owing
to its recent increase in production, export, and economic activity in Colombia. Since Hass …
to its recent increase in production, export, and economic activity in Colombia. Since Hass …
Classification of strawberry ripeness stages using machine learning algorithms and colour spaces
Accurate classification of strawberry ripeness is a crucial aspect of ensuring high-quality
food products, optimizing harvesting and storage processes, and promoting consumer …
food products, optimizing harvesting and storage processes, and promoting consumer …
Determination of 'Hass' avocado ripeness during storage by a smartphone camera using artificial neural network and support vector regression
Avocado undergoes quality transformation during storage, which needs to be managed in
order to prevent quantity losses. A machine vision system devised with a smartphone …
order to prevent quantity losses. A machine vision system devised with a smartphone …
[PDF][PDF] Evaluation of color models for palm oil fresh fruit bunch ripeness classification
This paper investigates the application of eight color models for automatic palm oil Fresh
Fruit Bunch (FFB) ripeness classification with multi-class Support Vector Machine (SVM) …
Fruit Bunch (FFB) ripeness classification with multi-class Support Vector Machine (SVM) …